Tag Archives: University of Helsinki

Doctoral Researcher, Adapting computational methods to challenges in historical research at scale

The Faculty of Arts and CASCADE MSCA Doctoral Network invite applications for a

Doctoral Researcher in Digital Humanities / Data Science

to a fixed-term employment for 3 years, with the possibility of a one-year extension contract. The position is titled: “Adapting computational methods to challenges in historical research at scale”.

Drawing from CASCADE’s expertise in both the conceptual understanding of different types of semantic change, as well as the methods to computationally model such changes, this project will focus on ensuring that the computational approaches measure what they’re supposed to measure. This includes fine-tuning machine-learning methods to capture different types of change, as well as ensuring that the measures derived are robust against external confounders, which may arise either from the data itself or from the uneven performance of the methods themselves. Further, the project involves building adaptable environments which should enable the easy application of these methods to new data and questions. The selected doctoral candidate should have prior knowledge in natural language processing/language technology and/or data science.

Host institution: University of Helsinki (Finland)

PhD:  PhD in Digital Humanities / Data Science

Main supervisor: prof. Eetu Mäkelä (University of Helsinki, Faculty of Arts, Digital Humanities)

Second supervisor: prof. Mikko Tolonen (University of Helsinki, Faculty of Arts, Digital Humanities)

Mobility rule: has not resided in Finland for more than 12 months in the 36 months preceding appointment.

Tasks of the PhD candidate:

● Completion of a PhD thesis within four years (1,0 fte contract for three years, possibility for extension contract for fourth year);

● Participation in the general training programme of the doctoral network (kick-off, monthly online research meetings, annual workshops and schools, and final conference)

● Collaboration with a multidisciplinary research group focused on the intersection of computational science, linguistics, and history/cultural heritage.

● Development of computational approaches for the analysis of historical digital collections.

● Participation in joint publications and engagement in academic service.

Planned secondments: CCRS. (Year 2-3. 6 months. Testing NLP tools and techniques for information extraction and modelling from commercial insurance data.) Also visiting: Netherlands eScience Center, USFD (alternative frameworks for the history of concepts).

SELECTION CRITERIA

We believe in flexibility when selecting the ideal candidate; therefore, the requirements are adaptable. You can approach this position from the following background:

Computational Background:

● Msc / MA degree in Digital Humanities, Data Science, AI, language technology, NLP, Information Science, or related fields, held by time of appointment (if the degree is not yet obtained at the time of application, a statement by the applicant’s supervisor should confirm that it will be obtained by time of appointment).

● Demonstrated experience in applying computational methods.

● Capability to bridge the gap between data science and the humanities.

● Strong research and analytical skills.

This PhD position is part of a broader research community that includes different projects focusing on historical full-text collections and large metadata collections in different languages. We are particularly interested in candidates who can demonstrate that they can collaborate in an interdisciplinary environment with the intellectual historian that will be hired in CASCADE to Helsinki.

Degree requirement for doctoral researcher position: The appointee must apply, and obtain, the right to pursue a doctoral degree at the University of Helsinki within the probationary period of 6 months: https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-education

Applicants must not hold a doctoral degree in any other field or have failed a corresponding doctoral examination at another higher education institution.

The University of Helsinki is committed to promoting equality and preventing discrimination in all its operations. We welcome applicants from a variety of gender identities, linguistic and cultural backgrounds.

WHAT WE OFFER

The University of Helsinki offers the appointee a first-class research and teaching environment as well as the preconditions necessary for international cooperation (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki).

The position is full-time for 3 years with a possible extension contract for fourth year. The employment contract will include a probationary period of six months.

The salary is competitive and complies with the MSC Work Programme: appr. 3550 €/month, including Mobility allowance, after compulsory deductions. A conditional Family allowance of appr. 500 € can be added to the salary.

For the possible fourth year extension contract the salary will be defined based on the demands level table for teaching and research personnel in the salary system of Finnish universities (approximately 3100-3700€/month, depending on the performance).

The University of Helsinki provides its staff with occupational health and sports services as well as professional development opportunities (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki/staff-benefits). The appointee is expected to reside in Finland while employed by the University of Helsinki. International staff is supported in relocating to Finland (https://www.helsinki.fi/en/about-us/careers/welcome).

APPLICATION INSTRUCTIONS

The application must be submitted through the University of Helsinki electronic recruitment system by clicking on the link below. Employees of the University of Helsinki must submit their applications through the SAP Fiori portal.

Applicants are requested to enclose with their applications the following documents in English. Please add documents 1-4 as a single PDF file titled “lastname_firstname_application” and documents 5-6 as a separate PDF file titled “lastname_firstname_sample_output:

1. CV (max. 2 pages, including list of publications)

2. Cover letter (600–800 words), covering:

• Which qualifications make you suitable for the position

• How this PhD position aligns with your scholarly interests and further career plans within or outside academia

• Your motivation to participate in a doctoral network which includes international mobility and an internship period

3. Names and contact details (email address) of two academic referees

• You must have the permission of the academic referee to use their name and contact details. They may be asked to provide a reference letter at a later stage.

4. MSc/MA degree certificate (if available) and transcript of records

• If the degree is not yet obtained at the time of application, a statement by the applicant’s supervisor should confirm that it will be obtained by time of appointment

5. Academic writing sample in English

6. Sample of code written (e.g. repository link)

The deadline for applications is 28th of March 2024. Shortlisted applicants will be invited for an interview.

FURTHER INFORMATION

For any questions and further information, please contact Professor Mikko Tolonen, mikko.tolonen@helsinki.fi. Further information about the recruitment process can be obtained from HR Specialist Reeta Korhonen, reeta.korhonen@helsinki.fi.

This PhD position is part of CASCADE: Computational Analysis of Semantic Change Across Different Environments (MSCA Doctoral Network). CASCADE aims to train early-stage researchers to develop and apply innovative methodologies for Computational Analysis of Semantic Change Across Different Environments (CASCADE), i.e. to identify, analyse and interrogate how meaning is expressed in language in diverse contexts, with a shared focus on the impact of time (diachronic text analytics). Researchers in the network will encounter different theories of, and approaches to meaning (structuralist, relational, distributional, cognitive, encyclopaedic, social) and learn how these affect the criteria for judging success in text analysis.

 

MSCA Doctoral Networks are research and training programmes with the goal of training highly skilled doctoral candidates, stimulating their creativity, enhancing their innovation capacities and boosting their employability in the long term. For CASCADE this means responding to a skills deficit in the academic, public and commercial sectors: the need for people able to retrieve, critically evaluate and make better use of the large volumes of textual data that characterise our contemporary information society (the ‘data deluge’).

 

Being part of an MSCA Doctoral Network means taking part in networking activities and spending time abroad. Each PhD candidate will be co-supervised by two academics within the consortium; they will be based at one of the universities of CASCADE and visit the university of their co-supervisor for a research stay, as well as have a shorter internship at an associated partner. They will be expected to participate in full in the training programme, consisting of summer schools, workshops, a regular online seminar, and other activities.

 

CASCADE is committed to creating an environment in which all talents can develop to their maximum potential, regardless of gender, age, cultural origin, nationality or disability. We particularly encourage candidates from traditionally underrepresented groups to apply.

 

CASCADE is advertising positions for 10 candidates within its framework, who will be based at 5 participating universities. Applications for each position must be submitted separately. It is possible to apply for more than one position, in which case the applicant must send a separate email to james.osullivan@ucc.ie, stating this and indicating their preference. The recruitment process will be done centrally by the CASCADE selection committee.

Do you have a helsinki.fi username and a valid employment contract, a grant researcher’s contract, a visiting researcher’s or visiting professor’s contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-28 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Doctoral Researcher, Political vocabulary of eighteenth-century Britain

The Faculty of Arts and CASCADE MSCA Doctoral Network invite applications for a

Doctoral Researcher in Digital Humanities / Intellectual History

to a fixed-term employment for 3 years, with the possibility of a one-year extension contract. The position is titled “Political vocabulary of eighteenth-century Britain”.

How was politics operationalised in the print discourse of eighteenth-century Britain? This project will apply computational methods to traditional historical enquiry, exploring possible parallels and discontinuities within intellectual history. It will draw upon CASCADE expertise in techniques including concept modelling and distributional semantics, and seek to triage problems presented by historical text collections digitised using optical character recognition. The doctoral student should: 1) map the development of political vocabulary in eighteenth-century Britain; 2) lay groundwork for developing a theory of meaning change with respect to the history of ideas. The candidate should have prior knowledge of eighteenth-century Britain. In the project, they will have access to Eighteenth Century Collections Online (ECCO); the English Short Title Catalogue (ESTC); Cand British Library Newspapers and different kinds of text reuse datasets compiled from these datasets.

Host institution: University of Helsinki (Finland)

PhD:  PhD in Digital Humanities or Intellectual History

Main supervisor: prof. Mikko Tolonen (University of Helsinki, Faculty of Arts, Digital Humanities)

Second supervisor: prof. Eetu Mäkelä (University of Helsinki, Faculty of Arts, Digital Humanities)

Mobility rule: has not resided in Finland for more than 12 months in the 36 months preceding appointment.

Tasks of the PhD candidate:

● Completion of a PhD thesis within four years (1,0 fte, contract for three years, possibility for extension contract for fourth year);

● Participation in the general training programme of the doctoral network (kick-off, monthly online research meetings, annual workshops and schools, and final conference)

● Collaboration with a multidisciplinary research group focused on the intersection of computational science, linguistics, and history/cultural heritage.

● Active contribution to research on public discourse, conceptual change, and knowledge production.

● Use of computational approaches for the analysis of historical digital collections.

● Participation in joint publications and engagement in academic service.

Expected Results:

● A study of development of political vocabulary in 18th-century Britain.

● Theoretical reflections on meaning change in the history of ideas.

● Principles for effective collaborations with computer scientists.

● Insights into the challenge of dirty OCR with different approaches to computational semantics.

Planned secondments: VICESSE (Year 2-3, 6 months; mapping the development of security vocabulary over the 21st century). Also visiting: USFD (concept modelling); KULEUVEN (distributional semantics).

SELECTION CRITERIA

We believe in flexibility when selecting the ideal candidate; therefore, the requirements are adaptable. You can approach this position from the following background:

MA thesis in Digital Humanities, Early Modern Studies, Intellectual History or Literary Studies

We expect:

● A proven track record in the use of computational approaches.

● Familiarity with eighteenth-century British data sources.

● Ability to conduct multidisciplinary research.

● Interest in connecting different research communities.

This PhD position is part of a broader research community that includes different projects focusing on ECCO and EEBO sources, and which utilise historical full-text collections and large metadata collections in English and other languages. We are particularly interested in candidates who have the potential to enrich our understanding of the connection between Skinnerian intellectual history and computational approaches to large historical databases.

Degree requirement for doctoral researcher position: The appointee must apply, and obtain, the right to pursue a doctoral degree at the University of Helsinki within the probationary period of 6 months: https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-education

Applicants must not hold a doctoral degree in any other field or have failed a corresponding doctoral examination at another higher education institution.

The University of Helsinki is committed to promoting equality and preventing discrimination in all its operations. We welcome applicants from a variety of gender identities, linguistic and cultural backgrounds.

WHAT WE OFFER

The University of Helsinki offers the appointee a first-class research and teaching environment as well as the preconditions necessary for international cooperation (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki).

The position is full-time for 3 years with a possible extension contract for fourth year. The employment contract will include a probationary period of six months.

The salary is competitive and complies with the MSC Work Programme: appr. 3550 €/month, including Mobility allowance, after compulsory deductions. A conditional Family allowance of appr. 500 € can be added to the salary.

For the possible fourth year extension contract the salary will be defined based on the demands level table for teaching and research personnel in the salary system of Finnish universities (approximately 3100-3700€/month, depending on the performance).

The University of Helsinki provides its staff with occupational health and sports services as well as professional development opportunities (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki/staff-benefits). The appointee is expected to reside in Finland while employed by the University of Helsinki. International staff is supported in relocating to Finland (https://www.helsinki.fi/en/about-us/careers/welcome).

APPLICATION INSTRUCTIONS

The application must be submitted through the University of Helsinki electronic recruitment system by clicking on the link below. Employees of the University of Helsinki must submit their applications through the SAP Fiori portal.

Applicants are requested to enclose with their applications the following documents in English. Please add documents 1-4 as a single PDF file titled “lastname_firstname_application” and document 5 as a separate PDF file titled “lastname_firstname_writing_sample:

1. CV (max. 2 pages, including list of publications)

2. Cover letter (600–800 words), covering:

• Which qualifications make you suitable for the position

• How this PhD position aligns with your scholarly interests and further career plans within or outside academia

• Your motivation to participate in a doctoral network which includes international mobility and an internship period

3. Names and contact details (email address) of two academic referees

• You must have the permission of the academic referee to use their name and contact details. They may be asked to provide a reference letter at a later stage.

4. MA degree certificate (if available) and transcript of records

• If the degree is not yet obtained at the time of application, a statement by the applicant’s supervisor should confirm that it will be obtained by time of appointment

5. Academic writing sample in English

The deadline for applications is 28th of March 2024. Shortlisted applicants will be invited for an interview.

FURTHER INFORMATION

For any questions and further information, please contact Professor Mikko Tolonen, mikko.tolonen@helsinki.fi. Further information about the recruitment process can be obtained from HR Specialist Reeta Korhonen, reeta.korhonen@helsinki.fi.

This PhD position is part of CASCADE: Computational Analysis of Semantic Change Across Different Environments (MSCA Doctoral Network). CASCADE aims to train early-stage researchers to develop and apply innovative methodologies for Computational Analysis of Semantic Change Across Different Environments (CASCADE), i.e. to identify, analyse and interrogate how meaning is expressed in language in diverse contexts, with a shared focus on the impact of time (diachronic text analytics). Researchers in the network will encounter different theories of, and approaches to meaning (structuralist, relational, distributional, cognitive, encyclopaedic, social) and learn how these affect the criteria for judging success in text analysis.

 

MSCA Doctoral Networks are research and training programmes with the goal of training highly skilled doctoral candidates, stimulating their creativity, enhancing their innovation capacities and boosting their employability in the long term. For CASCADE this means responding to a skills deficit in the academic, public and commercial sectors: the need for people able to retrieve, critically evaluate and make better use of the large volumes of textual data that characterise our contemporary information society (the ‘data deluge’).

 

Being part of an MSCA Doctoral Network means taking part in networking activities and spending time abroad. Each PhD candidate will be co-supervised by two academics within the consortium; they will be based at one of the universities of CASCADE and visit the university of their co-supervisor for a research stay, as well as have a shorter internship at an associated partner. They will be expected to participate in full in the training programme, consisting of summer schools, workshops, a regular online seminar, and other activities.

 

CASCADE is committed to creating an environment in which all talents can develop to their maximum potential, regardless of gender, age, cultural origin, nationality or disability. We particularly encourage candidates from traditionally underrepresented groups to apply.

 

CASCADE is advertising positions for 10 candidates within its framework, who will be based at 5 participating universities. Applications for each position must be submitted separately. It is possible to apply for more than one position, in which case the applicant must send a separate email to james.osullivan@ucc.ie stating this and indicating their preference. The recruitment process will be done centrally by the CASCADE selection committee.

Do you have a helsinki.fi username and a valid employment contract, a grant researcher’s contract, a visiting researcher’s or visiting professor’s contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-28 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoctoral Researchers, Global Change on Ecological Communities and Ecosystem Functions

The Research Group of Associate Professor Jarno Vanhatalo seeks three post-doctoral researchers for an ERC funded Consolidator Grant project “Predictive Understanding of the effects of Global Change on Ecological Communities and Ecosystem Functions – BEFPREDICT”. The main aim of the project is to uncover how global change affects the biodiversity and through these changes the ecosystem functions and processes.

 

A post-doctoral researcher for a three-year position in biodiversity-ecosystem functioning

 

We are seeking a postdoctoral researcher to study how global change affects ecological communities and ecosystem functions across wide range of ecosystems. This work focuses on characterizing not only rates of change but unravelling the relative role of the direct effect of environment to ecosystem functions from the effects mediated by changes in biodiversity. The planned work consists of analysing unique long-term observational and experimental datasets on species communities, ecosystem functions, and species traits to identify key drivers of ecosystem processes. The selected candidate is expected to take part in designing their project and take responsibility for its’ implementation from data analyses to presentation of results in both scientific journals and conferences. The candidate is also expected to contribute to methods and model development of the project (see the other postdoc positions in this call) by bringing ecological insight to it. Opportunities for professional development, e.g. in project management, leadership, mentoring, teaching and grant writing, are available and encouraged.

 

Postdoctoral position requirements:

  • The successful applicant should have a doctoral degree in community ecology, functional ecology, or similar
  • Previous experience in working with questions and methods related to biodiversity and/or biodiversity-ecosystem function
  • Expertise in advanced statistical methods, such as joint species distribution models and structural equation models, is considered an advantage
  • Excellent written and verbal communication skills
  • Ability to conceive, execute and complete research projects
  • Ability to think independently and creatively
  • Ability to work in a team and independently

 

 

A post-doctoral researcher for a three-year position in ecological statistics

 

We are seeking a postdoctoral researcher to develop tools for analyzing and mapping large scale biodiversity and ecosystem function data with multivariate statistical models and methods. Our approach is based on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. The work focuses specifically on extending and tailoring the so-called joint species distribution modeling (JSDM) framework to match our research questions. JSDMs are multivariate models and among the most important statistical tools in community ecology today. The candidate is also expected to contribute to developing novel predictive model comparison and assessment methods and in analyses of large ecological data sets in collaboration with other researchers of this project (see the other postdoc positions in this call). Opportunities for professional development, e.g. in project management, leadership, mentoring, teaching and grant writing, are available and encouraged.

 

Postdoctoral position requirements:

  • The successful applicant should have a doctoral degree in ecological statistics, statistics, or similar
  • Previous experience in working with hierarchical Bayesian models and Markov chain Monte Carlo methods
  • Previous experience in ecological data analysis
  • Excellent written and verbal communication skills
  • Ability to conceive, execute and complete research projects
  • Ability to think independently and creatively
  • Ability to work in a team and independently          

 

 

A post-doctoral researcher for a three-year position in statistics

 

We are seeking a postdoctoral researcher to develop tools for comparing and validating large scale, multivariate, spatiotemporal statistical models. Our approach is based on Bayesian predictive and decision theoretic approach, which allows us to conceptualize model comparison and assessment to meet the specific requirements of our predictive and analytical aims. The work focuses on developing proper scoring rules and other utility functions, and cross-validation methods tailored for the predictive scenarios of the project. We are specifically interested in model comparison and assessment methods that match complex spatial and temporal multivariate predictive scenarios. The candidate is also expected to contribute to developing novel hierarchical Bayesian models and in analyses of large ecological data sets in collaboration with other researchers of this project (see the other postdoc positions in this call). Opportunities for professional development, e.g. in project management, leadership, mentoring, teaching and grant writing, are available and encouraged.

 

Postdoctoral position requirements:

  • The successful applicant should have a doctoral degree in ecological statistics, statistics, or similar
  • Previous experience in working with hierarchical Bayesian models, Markov chain Monte Carlo methods, and model comparison methods
  • Previous experience in ecological data analysis is considered an advantage
  • Excellent written and verbal communication skills
  • Ability to conceive, execute and complete research projects
  • Ability to think independently and creatively
  • Ability to work in a team and independently          

 

 

SALARY AND HOW TO APPLY FOR THE POSITIONS

The salary of the successful candidate will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The starting salary will be ca 3700-3900 euros/month, depending on the appointee’s qualifications and experience.

 

The application should include the following documents as a single pdf file. Please name the pdf with the field of the position you are applying to or prioritizing in your application:

  • motivational letter outlining why you are the right person for this task (max 1 page)
  • CV (max 2 pages)
  • list of publications
  • Include also contact information of two persons who are willing to provide a reference letter by separate request.

 

Please submit your application using the University of Helsinki Recruitment System via the Apply now button. Applicants who are employees of the University of Helsinki are requested to leave their application by using the Employee login.

 

The deadline for submitting the application is 25 March 2024.

 

Starting date is June 2024 or as mutually agreed.

 

The University of Helsinki welcomes applications from representatives of different genders, language and cultural backgrounds, and minorities.

 

For more information, please contact Associate Professor Jarno Vanhatalo (jarno.vanhatalo(at)helsinki.fi). For more information on the research group of Associate Professor Vanhatalo, please visit our website https://www.helsinki.fi/en/researchgroups/environmental-and-ecological-statistics.

 

If you need support with the recruitment system, please contact HR Specialist Harri Hamara (harri.hamara(at)helsinki.fi).

ABOUT THE WORKING ENVIRONMENT

The University of Helsinki, founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic community of 40,000 students and staff members. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The International Staff Services office assists employees from abroad with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers.

 

The research group of Associate Professor Vanhatalo is part of the Organismal and Evolutionary Biology (OEB) Research Programme of the Faculty of Biological and Environmental Sciences and the Department of Mathematics and Statistics of the Faculty of Science. We offer you highly international, interdisciplinary, and distinguished research environment with excellent opportunities to build up your professional expertise and scientific network. For more information on the research group and research environment, please see https://www.helsinki.fi/en/researchgroups/environmental-and-ecological-statistics

 

Finland is a member of the EU, has high quality free schooling (also in English), very affordable childcare, generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families and in the world’s top ten most livable cities. Helsinki metropolitan area offers diverse free time opportunities from hiking in national parks to a lively cultural scene (https://www.myhelsinki.fi/en/).

 

SOME RECENT PUBLICATIONS

 

Kettunen, J., Mehtätalo, L., Korrensalo, A., Tuittila, E.-S. and Vanhatalo, J. (2023). Joint Species Distribution Modeling of Percentage Cover Data with Exclusive Competition for Space. Environmetrics, e2830.

 

Numminen, E., Jokinen, M., Lindén, A. and Vanhatalo, J. (2023). Species ecology can bias population estimates. Biological Conservation, 283:110-115.

 

Santangeli, A., Weigel, B., Antão, L., Kaarlejärvi, E., Hällfors, M., Lehikoinen, A., Lindén, A., Salemaa, M., Tonteri, T., Merilä, P., Vuorio, K., Ovaskainen, O, Vanhatalo, J., Roslin, T., and Saastamoinen, M. (2023). Mixed effects of a national protected area network on terrestrial and freshwater biodiversity. Nature Communications, 14: 5426.

 

Antão, L. H., Weigel, B., Strona, G., Hällfors, M., Kaarlejärvi, E., Dallas, T., OpedalØ. H., Heliölä, J., Henttonen, H., Huitu, O., Korpimäki, E., Kuussaari, M., Lehikoinen, A., Leinonen, R., Lindén, A., Merilä, P., Pietiäinen, H., Pöyry, J., Salemaa, M., Tonteri, T., Vuorio, K., Ovaskainen, O., Saastamoinen, M., Vanhatalo, J., Roslin, T. and Laine, A.-L. (2022). Climate change reshuffles northern species within their niches. Nature Climate Change, 12:587-592.

 

Mäkinen, J., Numminen, E., Niittynen, P., Luoto, M. and Vanhatalo, J. (2022). Spatial confounding in Bayesian species distribution modeling. Ecography, 2022: e06183.

 

Weigel. B., Mäkinen, J., Kallasvuo, M. and Vanhatalo, J. (2021). Exposing changing phenology of fish larvae by modeling climate effects on temporal early life-stage shifts. Marine Ecology Progress Series, 666:135-148

 

Vanhatalo, J., Foster, S. D. and Hosack, G. R. (2021). Spatiotemporal Clustering using Gaussian Processes Embedded in a Mixture Model. Environmetrics, 32:e2681

 

Vanhatalo, J., Hartmann, M. and Veneranta, L. (2020). Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data. Bayesian Analysis, 15(2):415–447.

 

Malcolm Itter, Jarno Vanhatalo and Andrew Finley (2019). EcoMem: An R package for quantifying ecological memory. Environmental Modelling & Software, 119: 305-308.

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-25 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoctoral Researcher, data science and people flow in the built environment

The Department of Computer Science of the Faculty of Science is seeking a postdoctoral researcher to work on a Business Finland co-innovation project “Untangling People Flow for Smart and Sustainable Urban Environments”.

 

Position description

People flow is the way people move in and between buildings. Good people flow means people moving smoothly, safely, comfortably, and without waiting. The Untangling People Flow consortium vision is to productize the data relations between people-flow and optimal use of the built environment. Utilizing building digital twins, agent-based modelling, IoT detection devices, and edge /cloud real-time services to identify the value of people-flow data characteristics. Creating an AI people-flow demand forecasting system to monetarize people-flow data. The insights gained will be crucial for the development of future smart campuses. smart airports, and real estate in export settings.  

 

The position will require the postdoctoral researcher to advance research in specific technological areas, such as distributed computing architectures, data stream analytics, machine learning for data fusion, computational social science, and application of large language models. The researcher will engage in joint efforts with the consortium co-innovation partners: Kone, Granlund, Elisa Supersight, Workspace, and MetaTavu, University of Lapland, University of Oulu, and VTT, contributing to the development and direction of their research agenda to reflect cutting-edge industry innovation.

 

The successful candidates will be primarily supervised by Dr Andrew Rebeiro-Hargrave and Prof. Sasu Tarkoma (University of Helsinki) and will be offered a fully funded contract for two years, with the extension for one more year. Research activities will be conducted at the Department of Computer Science of the University of Helsinki (Pietari Kalmin katu 5, 00014).   

 
Requirements and eligibility criteria

The University of Helsinki is committed to fostering an equitable and inclusive working environment and encourages applications from individuals of diverse genders, linguistic, and cultural backgrounds.

A successful candidate should have a PhD (or equivalent title) in computer science, electrical engineering, or a related field. The project will adopt an agile development methodology and the candidate must possess scientific curiosity, a meticulous work ethic, and the flexibility to work effectively in both academia and industry setups. The candidate must demonstrate good organizational and time management skills, be capable of working both independently and collaboratively within a team and be ready at adjusting to the iterative evaluation and potential directional shifts after each sprint. Excellent communication skills in English, both verbal and written, are essential.

 
Salary and Benefits

The starting salary of the postdoctoral researcher will be 3700–3900 euros/month, depending on the appointee’s previous qualifications and experience. A trial period of 6 months will be applied.

 

The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers.

 
How to apply

Please submit your application in a single PDF file in English, which should include the following documents:
 
• A motivation letter explaining why you are the ideal candidate for this role, given the context and objectives of the position (max. 2 pages).
• A curriculum vitae (max. 5 pages), complete with a list of publications, especially emphasizing those relevant to the research subject of the position (max. 5 publications).
• Names and contact information of at least two referees who are willing to provide reference letters upon request or may be contacted directly for further information regarding the candidate’s qualifications and experience.

 

Applications must be submitted through the University of Helsinki´s recruitment portal. Please note that applications or any related materials sent via email will not be considered.
 
We aim to fill the position as soon as possible and therefore encourage early applications. However, the latest deadline for submitting applications is March 10th, 2024.

 
More information

For project and position related questions, please contact:
• Andrew Rebeiro-Hargrave,  andrew.rebeiro-hargrave@helsinki.fi

 

For support with the recruitment system, please contact:
• HR Specialist Jussi Hartikainen, jussi.a.hartikainen@helsinki.fi  

 
*****

The University of Helsinki (https://www.helsinki.fi/en) is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits.

 

As a part of the Faculty of Science, the Department of Computer Science (https://www.helsinki.fi/en/computer-science) is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The number of professors at the department has grown in recent years and there are now 32 professorships. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate.  

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-10 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Doctoral Researcher, The Presence of Classics in Early Modern Book History

The Faculty of Arts and MECANO MSCA Doctoral Network invite applications for a

 

Doctoral Researcher

 

to a fixed-term employment for 3 years, with the possibility of a one-year extension contract.

 

We invite applications for a dynamic and versatile PhD position titled “The Presence of Classics in Early Modern Book History”. This position is part of a vibrant and multidisciplinary research community focused on applying computational approaches to the study of large early modern data sources (especially British). We are seeking candidates who can, together with us, bridge the gap between humanities and data science and contribute to our exploration of conceptual change, intertextuality, and statistical analysis of knowledge production in history.

 

The aim of this PhD project is to study the reuse of Latin texts in Early Modern England. The Helsinki Computational History Group has used automated methods to detect all the instances of text reuse in the largest collections of printed data for British books (1470–1800, > 250.000 works) available in machine-readable form: Eighteenth Century Collections Online (ECCO), Early English Books Online (EEBO-tcp phase II) and British Library Newspapers. The result is a massive dataset of linked text-reuse fragments, which are qualified, clustered and compared. Based on this dataset, the project will focus on the text reuse of a selected group of Latin scientific authors such as Lucretius, Pliny the Elder, and Vitruvius, and their reception and reuse in Early modern works.

 

Host institution: University of Helsinki (Finland)

PhD programme:  PhD in Digital Humanities

Main supervisor: prof. Mikko Tolonen (University of Helsinki, Faculty of Arts, Digital Humanities)

Second supervisor: prof. Margherita Fantoli (KU Leuven, Faculty of Arts, Digital Humanities)

Mobility rule: has not resided in Finland for more than 12 months in the 36 months preceding appointment

 

Tasks of the PhD candidate:

• Completion of a PhD thesis within four years (1,0 fte, contract for three years, possibility for extension contract for fourth year);

• Participation in the general training programme of the doctoral network (kick-off, monthly online research meetings, annual workshops and schools, and final conference)

• Collaboration with a multidisciplinary research group focused on the intersection of computational science, linguistics, and history/cultural heritage.

• Active contribution to research on public discourse, conceptual change, and knowledge production.

• Use of computational approaches for the analysis of historical digital collections.

• Participation in joint publications and engagement in academic service.

 

Planned secondments: (1) Centre for Scientific Computing in Finland (CSC) (3 months): developing a subsetting tool to deal with noisy content; contributing to scripts for data processing, harmonisation, and modelling); (2) KU Leuven (6 months): fine-tuning the retrieval of Latin authors; studying textual features of Latin scientific and technical texts)

 

SELECTION CRITERIA

 

We believe in flexibility when selecting the ideal candidate; therefore, the below requirements are adaptable. You can approach this position from either (or both) of the following backgrounds:

 

Option 1: MA thesis in Classics, Early Modern Studies or Intellectual History

• A proven track record in use of computational approaches.

• Familiarity with Classics or early modern British data sources.

• Ability to conduct multidisciplinary research.

• Interest to connect different research communities.

 

Option 2: Computational Background

• MA / MPhil degree in Digital Humanities, Data Science, AI/NLP, Information Science, or related fields, held by time of appointment (if the degree is not yet obtained at the time of application, a statement by the applicant’s supervisor should confirm that it will be obtained by time of appointment).

• Demonstrated experience in applying computational methods.

• Capability to bridge the gap between data science and the humanities.

• Strong research and analytical skills.

 

This PhD position is part of a broader research community that includes different projects focusing on ECCO and EEBO sources, and which utilise historical full-text collections and large metadata collections in English, Latin and other languages. We are particularly interested in candidates who can enrich our understanding of the presence of classics in early modern book history.

 

Degree requirement for doctoral researcher position: The appointee must apply, and obtain, the right to pursue a doctoral degree at the University of Helsinki within the probationary period of 6 months: https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-education

 

Applicants must not hold a doctoral degree in any other field or have failed a corresponding doctoral examination at another higher education institution.

 

The University of Helsinki is committed to promoting equality and preventing discrimination in all its operations. We welcome applicants from a variety of gender identities, linguistic and cultural backgrounds.

 

WHAT WE OFFER

 

The University of Helsinki offers the appointee a first-class research and teaching environment as well as the preconditions necessary for international cooperation (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki).

 

The position is full-time for 3 years with a possible extension contract for fourth year. The employment contract will include a probationary period of six months.

 

The salary is competitive and complies with the MSC Work Programme: appr. 3550 €/month, including Mobility allowance, after compulsory deductions. A conditional Family allowance of appr. 500 € can be added to the salary.

 

For the possible fourth year extension contract the salary will be defined based on the demands level table for teaching and research personnel in the salary system of Finnish universities (approximately 3100-3700€/month, depending on the performance).

 

The University of Helsinki provides its staff with occupational health and sports services as well as professional development opportunities (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki/staff-benefits). The appointee is expected to reside in Finland while employed by the University of Helsinki. International staff is supported in relocating to Finland (https://www.helsinki.fi/en/about-us/careers/welcome).

 

APPLICATION INSTRUCTIONS

 

The application must be submitted through the University of Helsinki electronic recruitment system by clicking on the link below. Employees of the University of Helsinki must submit their applications through the SAP Fiori portal.

 

Applicants are requested to enclose with their applications the following documents in English. Please add documents 1-4 as a single PDF file titled “lastname_firstname_application” and document 5 as a separate PDF file titled “lastname_firstname_writing_sample:

1. CV (max. 2 pages, including list of publications)

2. Cover letter (600–800 words), covering:

• Which qualifications make you suitable for the position

• How this PhD position aligns with your scholarly interests and further career plans within or outside academia

• Your motivation to participate in a doctoral network which includes international mobility and an internship period

3. Names and contact details (email address) of two academic referees

• You must have the permission of the academic referee to use their name and contact details. They may be asked to provide a reference letter at a later stage.

4. MA degree certificate (if available) and transcript of records

• If the degree is not yet obtained at the time of application, a statement by the applicant’s supervisor should confirm that it will be obtained by time of appointment

5. Academic writing sample in English (ca. 7000 words)

 

The deadline for applications is 15th of March 2024. Shortlisted applicants will be invited for an interview.

 

FURTHER INFORMATION

 

For any questions and further information, please contact Professor Mikko Tolonen, mikko.tolonen@helsinki.fi. Further information about the recruitment process can be obtained from HR Specialist Reeta Korhonen, reeta.korhonen@helsinki.fi.

 

 

 

This PhD position is part of MECANO: Mechanics of Canon Formation and the Transmission of Knowledge from Greco-Roman Antiquity (MSCA Doctoral Network). MECANO aims to advance the understanding of the mechanics of canon formation and knowledge transmission of ancient Greek and Latin texts. It will look at (a) how texts, ideas or authors become canonical by being cited, translated, studied, imitated, excerpted, or compiled by later authors, and (b) how such implicit canons have changed across time and space by being received in different cultural, intellectual and linguistic environments. To study the dynamics of canonicity from a longitudinal perspective, MECANO will combine qualitative approaches to intellectual history and reception studies with applications of digital and computational methods on extensive text corpora.

 

MSCA Doctoral Networks are research and training programmes with the goal of training highly skilled doctoral candidates, stimulate their creativity, enhance their innovation capacities and boost their employability in the long-term. For MECANO, this means responding to the need for historically conscious and digitally skilled Humanities PhDs and training the PhD candidates to tackle the challenges of modern engagement with the topics of canonicity, diversity, and cultural heritage.

 

Being part of an MSCA Doctoral Network means taking part in networking activities and spending time abroad. Each PhD candidate will be co-supervised by two academics within the consortium; they will be based at one of the universities of MECANO and visit the university of their co-supervisor for a research stay, as well as have a shorter internship at an associated partner. They will be expected to take full part in the training programme, consisting of summer schools, workshops, a regular online seminar, and other activities.

 

MECANO is committed to creating an environment in which all talents can develop to their maximum potential, regardless of gender, age, cultural origin, nationality or disability. We particularly encourage candidates from traditionally underrepresented groups to apply.

 

MECANO is advertising positions for 10 candidates within its framework, who will be based at 5 participating universities. Applications for each position must be submitted separately. It is possible to apply for more than one position, in which case the applicant must send a separate email to info@mecano-dn.eu, stating this and indicating their preference.

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-15 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Doctoral Researcher, Ancient Sources on Matter in Late Medieval Commentaries on Aristotle

The Faculty of Arts and MECANO MSCA Doctoral Network  invite applications for a

 

Doctoral Researcher

 

to a fixed-term employment for 3 years, with the possibility of a one-year extension contract.

 

We invite applications for a dynamic and versatile PhD position titled “Ancient Sources on Matter in Late Medieval Commentaries on Aristotle”. In the mid-13th century, just after Aristotle’s works on natural philosophy were translated, various conceptions of matter were at play. The ancient commentaries of these works negotiated the epistemic authority of two canonical authors, Plato and Aristotle, in their mutual relation and in relation to interpreters from various philosophical traditions. Medieval views on matter were subject to shifts in the canon, with new authorities being added (the Arabic commentators; scholastic commentators), and shifts in the canonical value of the different authorities (a stronger position of Aristotle to the detriment of Plato). Further canonical shifts are linked to the incorporation of information from source texts in other genres (manuals, compendia, doxography, polemical treatises) into the commentary genre. Although there is a growing literature on medieval theories of matter, there is a need to analyse the presence of ancient sources and their use by late medieval thinkers. The specific objectives of this PhD  project are therefore (1) to map and classify the presence of ancient authorities – Presocratics, Plato, Stoics,  Platonists, Peripatetics, Augustine – and the shifting canons in late medieval commentaries (13th–15th c.) on Aristotle’s Metaphysics and Physics, and their relationship to theories of matter; and (2) to map shifts in the canon in the transmission to different languages and different cultural and ideological contexts by  classifying types of citations and quotations and linguistic and genre-related markers.

 

Host institution: University of Helsinki (Finland)

PhD programme: PhD in Philosophy

Main supervisor: prof. Filipe Pereira da Silva (Helsinki University, Department of Philosophy, History and Art Studies)

Second supervisor: prof. Jan Opsomer (KU Leuven, Institute of Philosophy)

Mobility rule: has not resided in Finland for more than 12 months in the 36 months preceding appointment

 

Tasks of the PhD candidate (specific to project & university/doctoral programme):

• Completion of a PhD thesis within four years (1,0 fte).

• Participation in the general training programme of the doctoral network (kick-off, monthly online research meetings, annual workshops and schools, and final conference)

• Participation in the doctoral seminar of the hosting institution

 

Planned secondments: (1) CSC (3 months): establishing and communicating the DH needs of the field of medieval philosophy; collaborating with DARIAH FI infrastructure on concept development for DH tools; use CSC infrastructure for a corpus analysis of philosophical commentaries; (2) KU Leuven (4 months): working on the ancient philosophical sources referred to in the commentaries; engaging with the KU Leuven team working on medieval hylomorphism.

 

SELECTION CRITERIA

 

• MA in Philosophy or in Classics (Latin), held by time of appointment (if the degree is not yet obtained at the time of application, a statement by the applicant’s supervisor should confirm that it will be obtained by time of appointment)

• If MA in Philosophy, excellent skills in Latin

• Interest in Ancient and Mediaeval philosophical texts

• Knowledge of mediaeval Latin paleography

• Good verifiable competence in English

• Ability to work in groups and to carry out interdisciplinary research

• Knowledge of Ancient Greek is considered an asset

• Interest in computational and data analysis for the Humanities is considered an asset but not a requirement

 

Degree requirement for doctoral researcher position: The appointee must apply, and obtain, the right to pursue a doctoral degree at the University of Helsinki within the probationary period of 6 months: https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-education

 

Applicants must not hold a doctoral degree in any other field or have failed a corresponding doctoral examination at another higher education institution.

 

The University of Helsinki is committed to promoting equality and preventing discrimination in all its operations. We welcome applicants from a variety of gender identities, linguistic and cultural backgrounds.

 

WHAT WE OFFER

 

The University of Helsinki offers the appointee a first-class research and teaching environment as well as the preconditions necessary for international cooperation (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki).

 

The position is full-time for 3 years with a possible extension contract for fourth year. The employment contract will include a probationary period of six months.

The salary is competitive and complies with the MSC Work Programme: appr. 3550 €/month, including Mobility allowance, after compulsory deductions. A conditional Family allowance of appr. 500 € can be added to the salary.

 

For the possible fourth year extension contract the salary will be defined based on the demands level table for teaching and research personnel in the salary system of Finnish universities (approximately 3100-3700€/month, depending on the performance).

 

The University of Helsinki provides its staff with occupational health and sports services as well as professional development opportunities (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki/staff-benefits). The appointee is expected to reside in Finland while employed by the University of Helsinki. International staff is supported in relocating to Finland (https://www.helsinki.fi/en/about-us/careers/welcome).

 

APPLICATION INSTRUCTIONS

 

The application must be submitted through the University of Helsinki electronic recruitment system by clicking on the link below. Employees of the University of Helsinki must submit their applications through the SAP Fiori portal.

 

Applicants are requested to enclose with their applications the following documents in English. Please add documents 1-4 as a single PDF file titled “lastname_firstname_application” and document 5 as a separate PDF file titled “lastname_firstname_writing_sample”:

1. CV (max. 2 pages, including list of publications)

2. Cover letter (600–800 words), covering:

• Which qualifications make you suitable for the position

• How this PhD position aligns with your scholarly interests and further career plans within or outside academia

• Your motivation to participate in a doctoral network which includes international mobility and an internship period

3. Names and contact details (email address) of two academic referees

• You must have the permission of the academic referee to use their name and contact details. They may be asked to provide a reference letter at a later stage.

4. MA degree certificate (if available) and transcript of records

• If the degree is not yet obtained at the time of application, a statement by the applicant’s supervisor should confirm that it will be obtained by time of appointment

5. Academic writing sample in English (ca. 7000 words)

 

The deadline for applications is 15th of March 2024. Shortlisted applicants will be invited for an interview.

  

FURTHER INFORMATION

 

For any questions and further information, please contact Professor Filipe Pereira da Silva, jose.pereiradasilva@helsinki.fi. Further information about the recruitment process can be obtained from HR Specialist Reeta Korhonen, reeta.korhonen@helsinki.fi.

 

 

 

This PhD position is part of MECANO: Mechanics of Canon Formation and the Transmission of Knowledge from Greco-Roman Antiquity (MSCA Doctoral Network). MECANO aims to advance the understanding of the mechanics of canon formation and knowledge transmission of ancient Greek and Latin texts. It will look at (a) how texts, ideas or authors become canonical by being cited, translated, studied, imitated, excerpted, or compiled by later authors, and (b) how such implicit canons have changed across time and space by being received in different cultural, intellectual and linguistic environments. To study the dynamics of canonicity from a longitudinal perspective, MECANO will combine qualitative approaches to intellectual history and reception studies with applications of digital and computational methods on extensive text corpora.

 

MSCA Doctoral Networks are research and training programmes with the goal of training highly skilled doctoral candidates, stimulate their creativity, enhance their innovation capacities and boost their employability in the long-term. For MECANO, this means responding to the need for historically conscious and digitally skilled Humanities PhDs and training the PhD candidates to tackle the challenges of modern engagement with the topics of canonicity, diversity, and cultural heritage.

 

Being part of an MSCA Doctoral Network means taking part in networking activities and spending time abroad. Each PhD candidate will be co-supervised by two academics within the consortium; they will be based at one of the universities of MECANO and visit the university of their co-supervisor for a research stay, as well as have a shorter internship at an associated partner. They will be expected to take full part in the training programme, consisting of summer schools, workshops, a regular online seminar, and other activities.

 

MECANO is committed to creating an environment in which all talents can develop to their maximum potential, regardless of gender, age, cultural origin, nationality or disability. We particularly encourage candidates from traditionally underrepresented groups to apply.

 

MECANO is advertising positions for 10 candidates within its framework, who will be based at 5 participating universities. Applications for each position must be submitted separately. It is possible to apply for more than one position, in which case the applicant must send a separate email to info@mecano-dn.eu, stating this and indicating their preference.

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-15 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Doctoral Researcher in Bioinformatics/Computational Biology and Toxicology

The Faculty of Pharmacy at the University of Helsinki conducts research in pharmacy and provides the highest education in the field. The Faculty offers the undergraduate degrees of Bachelor of Science (Pharmacy), Master of Science (Pharmacy) and Master of Science, as well as doctoral degrees (Doctor of Philosophy (Pharmacy) and Doctor of Philosophy). Additionally, the Faculty offers specialisation studies in community pharmacy and hospital pharmacy as well as in industrial pharmacy, and actively participates in further education in the field. The Faculty also educates Swedish-speaking Master of Science (Pharmacy) graduates. The Faculty of Pharmacy has three divisions: Pharmaceutical Biosciences, Pharmacology and Pharmacotherapy, and Pharmaceutical Chemistry and Technology. Faculty staff from different study programs cooperate in the degree programmes, which are responsible for the education leading to the degree.

 

The Faculty of Pharmacy invites applications for the position of a

 

DOCTORAL RESEARCHER in Bioinformatics/Computational Biology and Toxicology

 

The position is a fixed term position until 31 December 2026. The start date is flexible, as soon as the recruitment decision is made and the candidate is available (preferably around 1 April 2024). The position is filled with a 6 month probationary period.

 

We are seeking for a talented and motivated PhD student in bioinformatics to join our team to work on the EU-HORIZON PINK (Provision of Integrated Computational Approaches for Addressing New Markets Goals for the Introduction of Safe-and-Sustainable-by-Design Chemicals and Materials).

The project is led by Professor Dario Greco, at the Division of Pharmaceutical Biosciences. The aim of the project is to develop a framework to foster the development of Safe-and-Sustainable-by-Design (SSbD) advanced chemicals and materials. The successful candidate is expected to  develop novel systems toxicology methods and analyse and interpret big molecular data.

 

The duties of the doctoral researcher include conducting research in the project framework with the aim of achieving doctoral degree in accordance with the degree requirements of the University of Helsinki, supervision of undergraduate students, and other discipline-specific teaching. The teaching duties will cover a maximum of 5 % of the total working hours.

 

We offer

 

  • A research group with a supervisor who has time and interest to support your research
  • Enthusiastic and dynamic work environment
  • Opportunity to obtain multidisciplinary skills in Systems Biology and toxicology
  • National and international collaboration opportunities
  • Obtain cutting edge publications in top journals

 

We expect

 

  • MSc degree in a relevant field (e.g., computer science, biology, biotechnology, bioinformatics, or other related fields)
  • Ability to develop and manage knowledge graphs
  • Ability to curate and integrate biomedical data
  • Ability to infer, analyse and interpret molecular networks
  • Ability to analyse omics data

We also highly appreciate

 

  • Excellent written and spoken English
  • Curiosity, genuine interest in science, initiative
  • Understanding of toxicology
  • Strong motivation in participating and implementing scientific research
  • Good collaboration and teamwork skills
  • Excellent presentation and communication skills
  • Good time and task management
  • Independent work capability

The University of Helsinki welcomes applicants from a variety of genders, linguistic and cultural backgrounds, and minorities.

 

Right to pursue a doctoral degree

 

Please note that the appointee must obtain the right to pursue a doctoral degree at the Faculty of Pharmacy, University of Helsinki and approval by a suitable doctoral programme (Doctoral Programme in Drug Research – DPDR) by the end of the 6-month probationary period of the employment, unless having already existing study right. The research plan and other application material will be prepared together with the PhD supervisor(s) in the beginning of the employment period.

 

Salary and benefits

 

The salary is based on the job requirement scheme for teaching and research staff according to the salary system of the Finnish universities. In addition, the appointee will be paid a personal salary component. Doctoral researchers start from requirement level 2. In total, the starting gross salary of a doctoral researcher is typically around 2 400 EUR per month and raises gradually as the PhD work progresses.

 

The requirement level of a doctoral researcher is determined based on progress in the studies. Doctoral researchers advance to level 3, when they are in the midpoint of completing the work required for the doctoral degree, and eventually to level 4, when the supervisor estimates that the researcher can publicly defend the dissertation in approximately one year.

 

Read about the employee benefits at the University of Helsinki and why University of Helsinki is an excellent choice: https://www.helsinki.fi/en/about-us/careers.

 

How to apply

 

Please submit your application and the required attachments in English through the University of Helsinki Recruitment System as a single PDF file.

 

The application should include:

  • a motivation letter (max 2 pages) describing why you are interested in this position, how you would contribute to this project and how you are qualified for this position.
  • a detailed CV (max 2 pages) with full contact details, education/previous degrees obtained, prior work/research experience, link to the online version of the MSc/licentiate thesis (if available) and list of potential publications (if any), and contact information of one or more previous supervisors, employers, or other references/recommendations.

 

The closing date for applications is March 1st 2024 (23:59 EEST). Applications are reviewed already during the application period and Zoom interviews of shortlisted candidates will take place as soon as possible after the deadline.  

 

Further information

 

 

Related to admissions to doctoral studies

 

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-01 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Post-doctoral researcher in human computation and/or knowledge representation

 

POST-DOCTORAL RESEARCHER IN HUMAN COMPUTATION AND/OR KNOWLEDGE REPRESENTATION

 

for a fixed-term period of 36 months, starting in May 2024 or as agreed.

 

This position is based at the newly founded Multimodality Research Group in the Department of Languages and funded by an ERC Consolidator Grant awarded to Associate Professor Tuomo Hiippala. The project develops novel methods for studying the phenomenon of multimodality, that is, how communication and interaction rely on intentional combinations of multiple ‘modes’ of expression. The project will use crowdsourcing for gathering human insights at scale, which are then processed and searched for patterns using neuro-symbolic artificial intelligence, such as graph neural networks. The methods and resources developed in the project will enable developing empirically founded theories about multimodal communication in the domain of everyday cultural artefacts. The data studied in the project includes, for example, school textbooks, user-generated explanation videos on social media, news broadcasts, instruction manuals and online newspapers.

 

RESPONSIBILITIES

 

The post-doctoral researcher is responsible for developing graph-based representations of multimodal discourse, that is, how different modes of expression – such as written and spoken language, photographs, diagrams, embodied communication, etc. – are combined in page-based and audiovisual media studied in the project. Insights about multimodal discourse are collected at scale using crowdsourcing and compiled into graph-based representations, which is why the appointee is also expected to participate in designing crowdsourcing pipelines and computational methods for quality control and knowledge representation. The post-doctoral researcher will work closely with another post-doctoral researcher with a background in linguistically and semiotically oriented theories of multimodality. In addition to conducting research, the appointee is expected to report the results in lead- and co-authored publications submitted to suitable venues, which will be determined collaboratively with the PI.

 

QUALIFICATIONS

 

The appointee must hold a doctoral degree in computer science, digital humanities or a related field. A deep understanding of modern approaches to knowledge representation (especially knowledge graphs) and/or human computation (crowdsourcing or citizen science) is considered essential for the planned research. A successful candidate should also have a solid understanding of programming languages such as Python and libraries used for processing and managing data (e.g. pandas, PyTorch, NetworkX). Experience in collaborative development of research software is considered an advantage. The post-doctoral researcher must be able to work both independently and as a part of a multidisciplinary research group consisting of researchers with diverse backgrounds. Strong teamwork skills and an excellent command of written and spoken English are also required. The appointee must also commit to principles of open science and ethical use of crowdsourcing.

 

The appointee is expected to reside in Finland while employed by the University of Helsinki.

 

WHAT WE OFFER

 

The University of Helsinki is Finland’s oldest and largest academic institution, an international scholarly community of 40,000 students and researchers. In international university rankings, the University of Helsinki is usually within the top 100 universities in the world. The University of Helsinki is seeking solutions to global challenges and engendering new thinking for the benefit of humanity.

 

The University of Helsinki’s Faculty of Arts is Finland’s oldest and largest unit of teaching and research in the arts in terms of the organisation and selection of its disciplines. The faculty is also a significant international community of research, education and culture. The Faculty of Arts studies and teaches languages and literature spoken in Europe and the rest of the world, in total almost 40 languages. It also develops general theories of linguistics, translation and literary studies.

 

The successful candidate will become a part of vibrant research community at the Faculty of Arts. The three-year position offers an excellent opportunity to conduct pioneering research on the multimodality of human communication in a multidisciplinary environment. The project provides generous funding for conference travel, networking and crowdsourcing. The project also offers access to state-of-the-art computing resources provided free-of-charge by the CSC – the IT Center for Science.

 

The starting salary for the position ranges from 3727 to 3920 euro per month, depending on experience and qualifications. The selected candidate is also expected to contribute to teaching, which is limited to 10% of annual working time. Standard Finnish pension benefits and occupational health care are provided for university employees. The employment contract will include a probationary period of six months.

 

The University of Helsinki provides its staff with occupational health and fitness services, professional development opportunities, as well as a first-class research and teaching environment and the conditions necessary for international cooperation. Read more about staff benefits on our website.

 

HOW TO APPLY

 

Please submit your application, together with the required documents, through the University of Helsinki Recruitment System via the link “Apply now” (“Hae nyt”). Applicants who are currently employed by the University of Helsinki are requested to submit their application via the SAP Fiori portal at https://msap.sap.helsinki.fi. The closing date for applications is March 1, 2024.

 

The applicants are requested to provide the following documents written in English with their application:

 

  1. A curriculum vitae with contact information for two references,
  2. A statement of motivation for applying for the position, how the applicant would contribute to the project and a description of the applicant’s core methodological skills (max. 750 words),
  3. A list of publications with key publications relevant to the position highlighted.

 

FURTHER INFORMATION

 

For further information about the position and the research project, please contact Associate Professor Tuomo Hiippala (tuomo.hiippala@helsinki.fi).

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-01 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoctoral researcher, Computational Microbial Ecology research group

Computational Microbial Ecology (CME, helsinki.fi/en/researchgroups/computational-microbial-ecology) research group led by Associate Professor Tommi Vatanen at the Institute of Biotechnology (Helsinki Institute of Life Science, University of Helsinki) is looking for a postdoctoral researcher with background in neural network models. Our group  develops computational models, machine learning and bioinformatics to understand the dynamics of human microbial communities – predominantly the gut microbiomes – and their implications to human development, health and wellbeing. 

  

About the position: 

 

In this role, you will develop and apply deep neural networks and large language models for the analysis of metagenomic data sets (DNA sequencing of microbial communities). Potential applications include but are not limited to 1) gene functional annotation (large language models, graph convolutional networks), 2) modeling and prediction of molecular interactions (e.g. drug-like-molecule and receptor, and bacteriophage-host interactions), and 3) prediction of health outcomes based on medical history and multiomics (metagenomics, metabolomics) data of preterm infants. You will be provided with unique, human cohort data sets (gut metagenomes from healthy and vulnerable infants, participants of fecal microbiota transplant trials). The models will be applicable for understanding microbiome roles in human health and for improving health outcomes. Our laboratory collaborates with world-leading institutions (The Broad Institute of MIT and Harvard, USA; Harvard School of Public Health, USA; The Liggins Institute, Auckland, New Zealand) providing valuable networking and training opportunities within the microbiome research community. 

 

We are seeking a highly motivated, enthusiastic, and creative individual with good teamwork skills to join our team. The candidate should hold a PhD degree in computer/data science, computational biology, or related fields. Experience in working with biological applications are considered highly beneficial. Good written and verbal communication skills in English are necessary. 

 

The position is initially limited to 2 years, with a possibility for an extension. A trial period of 6 months will be applied, and the salaries will be based on the University salary scheme for teaching and research personnel composed of both task specific and personal performance components. The monthly gross salary will start from between €3,400 and €4,000 depending on the level of experience of the applicant. 

 

What we offer 

  • Competitive salary, local infrastructure and a top-level interdisciplinary and international collaboration network 
  • Exceptional computational resources from the Finnish IT Center for Science (CSC) 
  • Training for state-of-the-art microbiome bioinformatics (if needed) 
  • Possibility to visit collaborators at the Broad Institute, Harvard University, or University of Auckland (according to training needs and candidate preferences) 
  • Supportive and non-discriminative working environment 

  

Finland is a member of the EU, has high quality free schooling (also in English), generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families and in the world’s top ten most livable cities. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks. For more information about working at the University of Helsinki and living in Finland, please see helsinki.fi/en/university/working-at-the-university.  

 

The application should consist of a motivation letter stating your research interests (one page, including experience and motivation to work with biological problems and metagenomic data), CV and contact information of at least 2 references in a single pdf file and be submitted through the University of Helsinki electronic recruitment system. The deadline for the applications is 4th March 2024. For further information and questions, please email Tommi Vatanen (tommi.vatanen (a) Helsinki.fi). The earliest start date is 1 April 2024. 

  

The Institute of Biotechnology (BI) is a research institute that operates at the highest international level. It includes 40 research groups and 250 researchers. The Institute is situated in the Viikki science park. For more information on the Institute, please visit helsinki.fi/en/hilife-institute-of-biotechnology. BI is part of Helsinki Institute of Life Science (HiLIFE, helsinki.fi/en/hilife-helsinki-institute-life-science), a research institute established in 2017 supporting high quality life science research across the University campuses and faculties. HiLIFE builds on existing strengths and new recruits and partnerships to create an attractive international environment for researchers to solve grand challenges in health, food, and environment. HiLIFE coordinates research infrastructures in life sciences and provides research-based interdisciplinary training.   

 

The University of Helsinki, founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic community of 40,000 students and staff members. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and professional development opportunities. The International Staff Services office assists employees from abroad with their transition to work and life in Finland. Further information at helsinki.fi/en/university/working-at-the-university 

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-04 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoctoral Researcher in Molecular Microbiology of Anti-phage Defense Systems

Microbial Ecology and Evolution Research group led by Professor Ville-Petri Friman at the Department of Microbiology, Faculty of Agriculture and Forestry, University of Helsinki is looking for a postdoctoral researcher with background in molecular microbiology, genetics and evolution to a Novo Nordisk funded project: ‘Development of phage biocontrol to overcome the antiphage defense system arsenal of phytopathogenic Ralstonia solanacearum bacterium’.

 

About the position

Due to a lack of efficient control methods, plant-pathogenic bacteria threaten safe and stable food production. This project will develop a novel biocontrol method against the plant-pathogenic bacterium Ralstonia solanacearum by employing its natural viral enemies, phages. While phages are highly pathogen-specific and safe to the environment, they can become inefficient due to rapid development of phage resistance, which could explain the incomplete protection observed in

previous experiments.

 

This project will overcome this by identifying antiphage defence systems that are important for R. solanacearum phage resistance, and then isolating phages that can counteract these defences by escaping their recognition or by deploying their own counter-defence systems. Antiphage defence systems will be identified bioinformatically based on pangenome analysis of a new unpublished strain collection, and gene neighbourhood analysis will be used to identify novel defence systems through guilt-by-association. The potential synergistic benefits of defence systems will be validated experimentally by cloning them in the “null mutant” background, alone and in combination, while a tomato infection model will be used to identify systems that are actively expressed in planta. Finally, we will identify and isolate phages that can counteract these defences and retain their infectivity to design and validate evolution-proof phage biocontrol cocktails.

 

We are seeking a highly motivated and enthusiastic postdoctoral researcher with experience in molecular microbiology, genetics/bioinformatics, and evolution to join our international team. The candidate should hold PhD degree in molecular microbiology or related field, and good written and verbal communication skills in English are necessary. The postdoctoral position is for 3 years starting in April 2024. The project is co-supervised by Vasili Hauryliuk and Gemma Atkinson at the Lund University (Sweden), providing valuable networking and training opportunities within the phage research community.

 

Requirements

  • Doctoral degree in molecular or microbiology, genetics, or another relevant field.
  • Experience in construction of bacterial mutants using genetic engineering. Experience in plant pathology, bacteria pathogenesis, microbial ecology, evolution or phage biology are desirable.
  • Ability to conceive, execute, and complete research projects independently.
  • Creativity and good group-working skills.
  • Excellent written and verbal communication skills in English.

 

What we offer

  • Competitive salary, high-quality local infrastructure and a top-level interdisciplinary and international collaboration network.
  • State-of-art computational resources from the Finnish IT Center for Science (CSC).
  • Training for microbial bioinformatics and plant pathology (if needed).
  • Possibility to visit collaborators at the Lund University, and other Universities, depending on training needs and candidate preferences.
  • Supportive and non-discriminative working environment.

 

The salary of the postdoctoral researcher will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The starting salary of the postdoctoral researcher will be ca. 3410–3600 euros/month, depending on the appointees’ qualifications and experience. A six-month trial period will be applied. The workplace of the position is in Helsinki.

 

How to apply

Please submit your application as a single pdf file in English using the University of Helsinki Recruitment System. Please include the following in your application: 

  • A motivation letter (max. 2 pages) including descriptions of the candidate’s:
    • background and methodological skills relevant for the position
    • research interest or a vision for the research conducted in this position
    • past experience on working in multidisciplinary groups or research environments
  • CV that includes a list of publications 
  • Names and contact details of two referees 

 

External applicants, please submit your application using the University of Helsinki Recruitment System via Apply Now button.

 

Applicants who have a helsinki.fi -username and a valid employment contract, a grant researcher’s contract or a visiting researcher’s contract at the University of Helsinki are requested to leave their application by using the Employee login.

 

The deadline for the applications is the 29th of February 2024, while the earliest start date is the 1st of April 2024

The University of Helsinki welcomes applicants from a variety of genders, linguistic and cultural backgrounds.

 

Further information

 

 

 

About the Department of Microbiology and Finland

The department of Microbiology is part of the Faculty of Agriculture and Forestry and is located on the Viikki campus. The research focuses on microbial ecology and evolution, as well as the application of microbiology in agriculture and forestry, food production, medicine, environmental sciences and microbial biotechnology. The mission of the faculty is to promote the sustainable use of renewable natural resources, covering the full natural resource chain from farm to fork, the entire field of forest sciences from soil chemistry to marketing, as well as the environmental effects of related activities.  www.helsinki.fi/en/faculty-of-agriculture-and-forestry

 

Finland is one of the most livable countries, with a high quality of life, safety and excellent education system.  Finland is a member of the EU, has high quality and inexpensive childcare, free schooling and tertiary training (also in English), generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families. The successful candidate will receive the benefits provided by the University of Helsinki to university employees, including occupational health care services, and obtain access to high-quality public affordable childcare services and schools.

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-02-29 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoctoral researcher position in Mathematical Inverse Problems at the University of Helsinki

As part of the Faculty of Science, the Department of Mathematics and Statistics of the University of Helsinki is the biggest university department of mathematical sciences in Finland. The department hosts several current ERC grants of the European Research Council and two Centres of Excellence of the Academy of Finland. We invite applications for

 

ERC Funded postdoctoral researcher position in Mathematical Inverse Problems at the University of Helsinki

The position will be funded by the ERC advanced grant InversePDE – Geometric Methods in Inverse Problems for Partial Differential Equations and Centre of Excellence on Inverse Modelling and Imaging, led by Professor Matti Lassas.

 

Position description

The InversePDE project studies inverse problems for partial differential equations (PDEs) and geometric inverse problems. A typical inverse problem is the determination of the coefficient functions of a PDE from indirect data. The project aims to obtain unique solvability and stability results for inverse problems and to develop solution algorithms for these problems that are based on machine learning.

The project will study inverse problems for linear and non-linear hyperbolic and elliptic PDEs by applying analysis, differential geometry, microlocal analysis, and probabilistic methods. The project will also combine methods of machine learning, in particular neural networks, and manifold learning techniques, with the mathematical theory of inverse problems to invent new algorithms that are rigorously guaranteed to work.

 

Qualifications

We are looking for postdoctoral researchers interested in working on inverse problems and their applications. We also welcome applications from post-docs who have not earlier worked on the above topics but are interested in extending their expertise to new fields. Women and other underrepresented groups in the field of mathematics are strongly encouraged to apply. The University of Helsinki seeks to promote an equitable and inclusive working environment and welcomes applicants of any gender, linguistic and cultural background, or minority group.

 

Contract

The position is for 2 years, with a possible extension to a 3rd year depending on performance and funding.

The starting date may be in the period August 1, 2024- September 1, 2024.

Application deadline is on February 28th, 2024.

 

Salary and benefits

The starting salary of a Postdoctoral Researcher is typically 3500 – 3800 euros/month, depending on previous qualifications and experience.  

The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers.

 

How to apply

The applicants should submit the following documents

  • CV (max 2 pages)
  • Cover letter detailing their familiarity with analysis of PDEs, geometry, together, and/or neural networks and other machine learning methods with their interest to study mathematical inverse problems (max 2 pages)
  • Names and institutional email addresses of up to 3 references

Please submit your documents using the University of Helsinki Recruitment System via the ‘Apply Now’ link.

Applicants, who are employees of the University of Helsinki, are requested to leave their application by using the SAP HR employee login.

 

 Additional information

For further enquiry related to the position, please contact Professor Matti Lassas (Matti.Lassas(at)helsinki.fi)

If you need support with the recruitment system, please contact hr-kumpula(at)helsinki.fi.

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-02-28 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Doctoral researcher, Varjosalo laboratory of Molecular Systems Biology / Pathology

The HiLIFE – Institute of Biotechnology (BI) is a research institute that operates at the highest international level. It includes 40 research groups and 250 researchers. The Institute is situated in the Viikki science park. For more information on the Institute, please visit https://www.helsinki.fi/en/hilife-institute-of-biotechnology.

The HiLIFE – Institute of Biotechnology, Varjosalo laboratory of Molecular Systems Biology / Pathology, invites applications for a 

DOCTORAL RESEARCHER

 

The Varjosalo lab has a longstanding interest in the understanding of how key cellular signaling molecules; protein kinases and transcription factors mediate their signaling potential and how the signaling is changed in diseases in the immunology and oncology axis. For this purpose, we have developed experimental and computational methods to identify the protein-interactions formed by these signaling molecules, and established assays to study the activities, substrates and targets for these proteins. Additionally, we employ high-end quantitative mass spectrometry -based proteomics to assess quantitative protein changes, as well as phosphorylation status of the tissues/cells. Furthermore, combining the data from the different sets of ‘omics’ data (proteomics, sequencing, HTS), allows us to generate global and systems level understanding on how disease-causing mutations mediate their effects, also enabling the development of therapeutic or diagnostic approaches.  

We are looking for a highly-motivated candidate with a master’s degree in biology, biochemistry, biotechnology, bioinformatics or other relevant fields. We expect the candidate to have practical experience with “wet lab” work and strong interest in the development and application of modern instrumentation. Experience in proteomics is considered an advantage. The candidate should work well in a team as she/he will be integrated into an international research team of experts in system biology. The working language in the group is English.

 

The appointee is expected to work full time on the PhD thesis and to complete their thesis and the associated studies in four years. More information about the lab, including the latest research and news, can be found here:
https://www.helsinki.fi/en/hilife-institute-of-biotechnology/research/structural-and-quantitative-biology-research-program/markku-varjosalo-molecular-systems-biology-pathology

Further degree requirement for doctoral researcher position: The appointee must apply, and obtain, the right to pursue a doctoral degree at the University of Helsinki within the probationary period of 6 months: https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-education 

The position is starting from early spring 2024, and is initially for two years. A trial period of 6 months will be applied, and the salary will be based on the Universities salary scheme for teaching and research personnel composed of both task specific and personal performance components.  The starting salary is ca. 2500 euros, depending on the qualifications and experience of the applicant. 

The deadline for the applications is 15th of March, but the position will be filled immediately once a suitable candidate has been identified.  

Application should include the following documents as a single pdf file: CV, list of publications, motivation letter including a description of your research interests, and the names and telephone numbers of at least two referees.

Please submit your application, together with the required attachments, through the University of Helsinki electronic recruitment system by clicking on the ‘Apply for job’ button.  Applicants who are employees of the University of Helsinki are requested to leave their application via SAP Fiori.

For further information please contact Research Director Markku Varjosalo, PhD
markku.varjosalo(at)helsinki.fi. 

 

Finland is a member of the EU, has high quality free schooling (also in English), generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families and in the world’s top ten most livable cities. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks. For more information about working at the University of Helsinki and living in Finland, please see helsinki.fi/en/university/working-at-the-university.

 

Helsinki Institute of Life Science
Helsinki Institute of Life Science (HiLIFE) is a research institute established in 2017 that supports high quality life science research across the University campuses and faculties. HiLIFE builds on existing strengths and new recruits and partnerships to create an attractive international environment for researchers to solve grand challenges in health, food, and environment. HiLIFE coordinates research infrastructures in life sciences and provides research-based interdisciplinary training.

 

University of Helsinki
The University of Helsinki, founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic community of 40,000 students and staff members. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and professional development opportunities. The International Staff Services office assists employees from abroad with their transition to work and life in Finland. 

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-15 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoctoral researcher, Varjosalo laboratory of Molecular Systems Biology / Pathology

The HiLIFE – Institute of Biotechnology (BI) is a research institute that operates at the highest international level. It includes 40 research groups and 250 researchers. The Institute is situated in the Viikki science park. For more information on the Institute, please visit https://www.helsinki.fi/en/hilife-institute-of-biotechnology.

The HiLIFE – Institute of Biotechnology, Varjosalo laboratory of Molecular Systems Biology / Pathology, invites applications for a 

POSTDOCTORAL RESEARCHER

 

The Varjosalo lab has a longstanding interest in the global and comprehensive understanding of how key cellular signaling molecules; protein kinases and transcription factors mediate their signaling potential and how the signaling is changed in diseases in the immunology and oncology axis. For this purpose, we have developed experimental and computational methods to identify the protein-interactions formed by these signaling molecules, and established assays to study the activities, substrates and targets for these proteins. Additionally, we employ high-end quantitative mass spectrometry -based proteomics to assess quantitative protein changes, as well as phosphorylation status of the tissues/cells. Furthermore, combining the data from the different sets of ‘omics’ data(proteomics, sequencing, HTS), allows us to generate global and systems level understanding on how disease-causing mutations mediate their effects, also enabling the development of therapeutic or diagnostic approaches.  

We are seeking a postdoctoral researcher that has extensive practical experience in standard biochemistry/molecular biology/cell biological methods, ideally encompassing proteomics and microscopic techniques and/or bioinformatics. The ideal candidate is an adaptable team-player with excellent communication skills in English, both oral and written, and good organizational skills. 

Further degree requirement for postdoctoral position: The degree requirement must be met by the beginning of the employment.

This position will provide multiple opportunities for collaborations with potential lab visits abroad and cross-disciplinary scientific exchange. An attitude to drive own research and work in an intra and inter team fashion is highly appreciated. In return, the candidate is offered access to a wide variety of methodologies and advanced techniques, appropriate supervision and help in career development.

More information about the lab, including the latest research and news, can be found here: https://www.helsinki.fi/en/hilife-institute-of-biotechnology/research/structural-and-quantitative-biology-research-program/markku-varjosalo-molecular-systems-biology-pathology 

The position is initially limited to 2 years with a possibility of extension starting from early spring 2024. A trial period of 6 months will be applied, and the salary will be based on the Universities salary scheme for teaching and research personnel composed of both task specific and personal performance components. The starting salary is ca. 3700 – 4300 euros, depending on the qualifications and experience of the applicant. 

The deadline for the applications is 15th of March, but the position will be filled immediately once a suitable candidate has been identified.  

Application should include the following documents as a single pdf file: CV, list of publications, motivation letter including a description of your research interests, and the names and telephone numbers of at least two referees.

Please submit your application, together with the required attachments, through the University of Helsinki electronic recruitment system by clicking on the ‘Apply for job’ button.  Applicants who are employees of the University of Helsinki are requested to leave their application via SAP Fiori.

 

For further information please contact Research Director Markku Varjosalo, PhD
markku.varjosalo(at)helsinki.fi. 
   Finland is a member of the EU, has high quality free schooling (also in English), generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families and in the world’s top ten most livable cities. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks. For more information about working at the University of Helsinki and living in Finland, please see helsinki.fi/en/university/working-at-the-university.

 

Helsinki Institute of Life Science
Helsinki Institute of Life Science (HiLIFE) is a research institute established in 2017 that supports high quality life science research across the University campuses and faculties. HiLIFE builds on existing strengths and new recruits and partnerships to create an attractive international environment for researchers to solve grand challenges in health, food, and environment. HiLIFE coordinates research infrastructures in life sciences and provides research-based interdisciplinary training.

 

University of Helsinki
The University of Helsinki, founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic community of 40,000 students and staff members. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and professional development opportunities. The International Staff Services office assists employees from abroad with their transition to work and life in Finland. 

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-15 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Two Postdoctoral researchers on Locating Global Protest against the Extreme Right

The Faculty of Social Sciences at the University of Helsinki invites applications for the position of     
    
TWO POSTDOCTORAL RESEARCHERS ON Locating Global Protest against the Extreme Right: Anti-Fascism, Anti-Racism and Internationalism in Multiethnic Metropoles
   
for a fixed term period for the duration of 1 year, starting in August 2024 or as agreed.
 

These positions are part of an Academy Research Fellow grant awarded by the Research Council of Finland to Kasper Braskén (Principal Investigator) for the project Locating Global Protest against the Extreme Right: Anti-Fascism, Anti-Racism and Internationalism in Multiethnic Metropoles (LGP), based at the University of Helsinki from 2023 to 2027. The LGP-project explores the creation of anti-fascist protest movements in Cape Town, London, New York City and Chicago, ca. 1930–1960, and thus investigates the continuities/discontinuities between interwar and postwar anti-fascisms. The project will produce knowledge of various locally embedded articulations of transnational and global politics and investigate the different methods and means of anti-fascist territorialization in multiethnic environments.

As class, color, and cultural lines formed formidable divisions within cities, the project seeks to explore if and when interracial/interethnic and internationalist anti-fascist protest practices were created and how different political alliances were formed between various groups within the cities. The LGP-project encourages proposals that analyze the political mobilization of overlooked or marginalized groups in society. New contributions on e.g. African, Asian, Eastern European, Jewish, or Nordic groups within these cities are especially welcomed.

The project team will carry out individual and collaborative basic research that utilizes global, national, and local archives, including digital archives and newspaper databases. The project aims to produce significant open access research data on anti-fascist protest movements, campaigns, rallies, demonstrations, meetings, congresses, and cultural events, and analyze the formation of contested urban anti-fascist spaces. As a part of the LGP-project, the postdocs and Principal Investigator will create an online portal on anti-fascist geographies using ArcGIS software that will make the project’s findings accessible to a wider public.

Each postdoctoral researcher will collect and analyze protest data about one or several interlinked contexts, and publish individual and/or co-authored articles on the research findings. The combined efforts of the Principal Investigator and the postdocs will offer significant synergy effects and enable comparisons and the analysis of anti-fascist entanglements between groups and cities.

It is essential that applicants specify the case studies that they propose to focus on, including potential source material, and give a clear account of relevant linguistic and subject-related competencies for carrying out the proposed research.

For further information about the LGP-project and its international collaboration partners, please visit the project website.

RESPONSIBILITIES
 

The main task of each appointed postdoctoral researcher is to produce case studies that contribute to the LGP-project’s research aims and objectives. The applicant is expected to present research findings on seminars and conferences and actively participate in the collaborative work of the project. Working closely with the Principal Investigator, the post-doctoral fellows will play a pivotal role in implementing the project’s research aims and objectives. In addition, each researcher will actively contribute to teaching and administrative tasks in the discipline of Political History at the University of Helsinki (up to 5% of their working time annually) and assist in preparing new research proposals. It is possible to complete the teaching and administrative tasks in English.
 
QUALIFICATIONS  
 

An appointee to the position must hold a doctoral degree in history or social sciences. The default assumption is that the doctoral degree requirement must be met by the beginning of the employment. The period following the completion of doctoral degree must not exceed five years, excluding family leave and equivalent periods of absence. Applicants are expected to have an excellent command of written and spoken English.
 
ESSENTIAL QUALITIES AND ATTRIBUTES
 

Successful applicants will demonstrate excellent research skills relevant to the field of social movement research and international politics, global and international history, ethnic and minority studies, human geography, or urban studies. Strong organizational skills are required to plan and conduct basic research independently. As a team member of the LGP-project the applicant is expected to have excellent collaboration and communication skills.
 

WHAT WE OFFER  
 
University of Helsinki is an equal opportunity employer and offers an attractive and diverse workplace with a variety of development opportunities and benefits. The annual gross salary range will be approx. €43,000 – €47,000, depending on the appointee’s qualifications and experience. Standard Finnish pension benefits and occupational health care are provided for university employees. Further information can be obtained online. The employment contract will include a probationary period of six months.
 
Finland is a member of the European Union, has high quality free schooling (also in English) and generous family benefits and healthcare. Finland was recently ranked as the best country in the world for expat families, and Helsinki in the world’s top ten most livable cities. Finland and the Helsinki region feature leading research and innovation facilities, clean environment, affordable accommodation, and excellent international, national, and local transport connections. For more information about working at the University of Helsinki and living in Finland, please see the website.

The chosen applicants are expected to reside in Finland while employed by the University of Helsinki. The Faculty of Social Sciences provides assistance in relocation.

HOW TO APPLY  
 
Please submit your application, together with the required attachments, through the University of Helsinki Recruitment System via the link “Apply now” (“Hae nyt”). Applicants who are currently employed by the University of Helsinki are requested to submit their application via the SAP Fiori portal at https://msap.sap.helsinki.fi. The closing date for applications is 1 March 2024.
 
Applicants are requested to enclose with their applications the following documents in English:
 
1) A curriculum vitae that includes all publications and the names, positions and contact details of two referees, 2) A statement (max 1 page) outlining how the applicant would contribute to the LGP-project, 3) An outline (max. 1 page) of the applicant’s research experience relevant for the project 4) A writing sample (ONE published work such as article or book chapter OR a chapter from PhD).

Shortlisted candidates will be interviewed in March via zoom.

Applicants of any gender, nationality and cultural background are welcomed.
 
FURTHER INFORMATION
 
Further information about the positions and the research project may be obtained via kasper.brasken@helsinki.fi.   
 

The Faculty of Social Sciences is Finland’s leading research and education institute in the social sciences, and the country’s most diverse social sciences faculty in terms of the range of its disciplines and fields of research. The Faculty has a strong international research profile and an international master’s programme, and several of its disciplinary units have been rated among the top 50 in the world.  The Faculty has approximately 500 research and teaching staff, and each year it awards some 350 bachelor’s degrees, 400 master’s degrees and more than 40 doctoral degrees.
 

Do you have a helsinki.fi username and a valid employment contract, a grant researcher's contract, a visiting researcher's or visiting professor's contract at the University of Helsinki? Log in here to apply to our open positions.

Deadline: 2024-03-01 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoctoral Researcher in Macroeconometrics

The Faculty of Social Sciences at the University of Helsinki invites applications for the position of

POSTDOCTORAL RESEARCHER

for a fixed two-year period starting on the 1st of September 2024.

The position is part of the project “Structural Analysis of Non-Gaussian Time Series with Applications to Climate and Macroeconomy” funded by the Research Council of Finland. The primary aim of the project is the development of new econometric methods related to non-Gaussian structural vector autoregressive (SVAR) models. In addition, the new and existing methods are employed to study the economic effects of climate change as well as economic and financial shocks. The project builds upon our previous research on SVAR models.

The successful applicant is expected to conduct theoretical and/or empirical research related to the general themes of the project. In addition, they are expected to actively contribute to teaching in the master’s and doctoral programmes in economics (up to 5% of the annual working time) and other research activities of the group.

Environment

The Faculty of Social Sciences is Finland’s leading research and education institute in social sciences, and the country’s most diverse social sciences faculty in terms of the range of its disciplines and fields of research. The Faculty has a strong international research profile and a number of international master’s programmes, and several of its disciplinary units have been rated among the top 50 in the world. The Faculty has approximately 500 research and teaching staff, and each year it awards some 300 bachelor’s degrees, 400 master’s degrees and more than 40 doctoral degrees.

The position is based at the Discipline of Economics (https://www.helsinki.fi/en/faculty-social-sciences/research/disciplines-and-research-centres/economics), which is part of the newly founded Helsinki Graduate School of Economics jointly with the Economics Departments of Aalto University School of Business and Hanken School of Economics. Its purpose is to promote high-quality economic research, to develop and coordinate master’s and doctoral level economic education and to promote cooperation in economics among the participating units. In addition, the Discipline collaborates closely with VATT Institute for Economic Research.

Qualifications

The appointee to the position must hold a doctoral degree in economics, econometrics, statistics, or another relevant field and have strong skills in quantitative methods and an excellent command of English. The default assumption is that the degree requirement must be met by the beginning of the employment. The appointee must have the ability to conduct independent scholarly work as well as the teaching skills necessary for the position. Their research interests should be aligned with the objectives of the project and the research areas of the research group. Knowledge of the Finnish language is not required.

What we offer

The University of Helsinki is an equal opportunity employer, and we offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. The annual gross salary range will be approximately €45,000 – €48,000, depending on the appointee’s qualifications and experience. The employment contract will include a probationary period of six months. The chosen applicant is expected to reside in Finland while employed by the University of Helsinki. The Faculty of Social Sciences provides assistance in relocation.

Finland is one of the most liveable countries, with a high quality of life, safety, and an excellent education system. Finland is a member of the EU, has high quality and inexpensive childcare, free schooling, and tertiary training (also in English), generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families. The successful candidate will receive the benefits provided by the University of Helsinki to university employees, including occupational health care services and obtain access to high-quality public affordable childcare services and schools. Read more about the employee benefits at our university and why the University of Helsinki is an excellent career choice.

For additional information about the position and the research project, please contact Professor Markku Lanne (markku.lanne@helsinki.fi).

How to apply

Please submit your application as a single pdf file in English using the University of Helsinki Recruitment System. Please include the following in your application: 1) a short cover letter describing your areas of expertise and motivation for the position, 2) your curriculum vitae containing a list of your publications and working papers, and 3) a job market paper. In addition, two letters of reference submitted via the EconJobMarket portal are required.
 

External applicants, please submit your application by using the University of Helsinki Recruitment System via the “Apply now” button below.

Applicants who are currently employed by the University of Helsinki are requested to submit their application by using the Employee login in SAP Fiori portal:https://msap.sap.helsinki.fi.

The closing date for applications is 29 February 2024.

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Deadline: 2024-02-29 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.