Tag-arkiv: Umeå University

PhD student position in Medical Science with an orientation towards Cognitive Neuroscience

Institutionen för integrativ medicinsk biologi

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before 2020-08-31

  • Temporary position longer than 6 months
  • 100%
  • Umeå

Description of the PhD-project

The dopamine D3 receptor is involved in side-effects of L-DOPA treatment in Parkinson’s disease, addictive disorders, and is likely to play an important role in mediating the therapeutic effects of antipsychotic drugs. This doctoral project aims to further our understanding of the differential roles of the various signalling pathways downstream of the D3 receptor.

The project will start off with the development and characterization of a new assay of dopamine D3 receptor activity, in which the recruitment of downstream signalling proteins, such as G proteins, arrestins, and GRK2 to the activated receptor can be studied in transfected cell lines. We will utilize this new assay to study the effects of common human variants of the D3 receptor on the recruitment of these signalling proteins. Furthermore, we will generate and characterize receptor mutants which favour signalling through some downstream proteins, while discouraging the recruitment of others (signalling bias). At a later stage of the doctoral project, depending on the results generated in the initial cell-based experiments, we will study the effects of human receptor variants and/or signalling biased mutants in animal models. Thus, the applicant should be willing to work with animals.

Qualifications

Applicants must

1) hold a University degree of at least 240 ECTS or equivalent or

2) have 120 Swedish (old) credits (Swe. poäng; corresponding to 180 ECTS credits) of higher education studies in the same fields or equivalent taken before July 1, 2007.

Other merits

In addition, the applicant should, through university studies or other equivalent education, have gained basic theoretical knowledge in biomedicine or related fields and have good experience of laboratory work and method development. Applicants with experience in pharmacology research, particularly involving transfection of cell lines, will be prioritized. Experience with bioluminescence- and/or fluorescence-based assays is highly meriting.

Most important, however, is a strong interest in neuropharmacology! The applicant must be able to work both independently and as part of a team, and high focus will be given to the candidate’s potential to work with others and also their ability to write scientific text.

Specific admission requirements

In order to be admitted to postgraduate studies, it is required that the applicant has:

  1. Necessary knowledge from university higher education or corresponding education and/or special professional experience that is assessed in relation to the research area.
  2. Necessary English language skills, both in writing and in speaking. Evaluation of these skills is made by having the intended PhD student present his/her research plan in English for the Department’s designated postgraduate education group.

Further information: Deputy Senior Lecturer Kristoffer Sahlholm, kristoffer.sahlholm@umu.se

Start date: 2020-09-15, or upon agreement.

Salary/type of position: Other information: https://www.umu.se/en/research/doctoral-studies/

The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapt. 12, 2 §) and the decision regarding the position cannot be appealed.

Contact

Dr Kristoffer Sahlholm

kristoffer.sahlholm@umu.se

Registration number

AN 2.2.1-939-20

Salary

Monthly salary

Union representative

SACO

090-786 53 65

SEKO

090-786 52 96

ST

090-786 54 31

Read the job description at the university homepage

Apply

before 2020-08-31

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising help.

Post expires on Monday August 31st, 2020

PhD Student Position in Computing Science with focus on Logical Agents

Institutionen för datavetenskap

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before 2020-08-16

  • Temporary position longer than 6 months
  • 100%
  • Umeå

Research topic: Strategic Argumentation to deal with interactions between intelligent systems and humans

The Department of Computing Science at Umeå University is seeking outstanding candidates for a PhD student position in Computer Science with focus on socially intelligent systems for human-agent collaboration. Deadline for application is August 16, 2020.

The Department of Computing Science is a dynamic environment with around 100 employees representing more than 20 countries worldwide. We conduct education and research on a broad range of topics in Computing Science. The department’s work on Artificial Intelligence (AI) has a strong international position, in particular on the topics of collaborative and responsible AI. In these areas, the focus is on human-AI interaction and on the ethical and societal impact of AI. Researchers collaborate with several national and international research groups, and have active links with industry and policy organisations. Visit https://www.umu.se/en/research/groups/interactive-and-intelligent-systems/ and https://www.umu.se/en/research/groups/responsible-artificial-intelligence/ for more information.

Wallenberg Foundations and WASP-HS

The project is financed by the Wallenberg Foundations. The intention is that the student will be affiliated to WASP-HS, the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program – Humanities and Society. The WASP-HS graduate school provide foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. It thus provides added value on top of the existing PhD programs at the hosting university, providing unique opportunities for students who are dedicated to achieving international research excellence in a research and other activities conducted within WASP-HS please visit https://wasp-hs.org/.


Research project

Collaborative intelligence between humans and intelligent systems relies heavily on the skills of humans and intelligent systems for reaching agreements between them. However, reaching these agreements requires complex interaction processes, which include human reasoning based on common sense and goal-oriented decision-making processes performed by the intelligence systems. For reaching their goals, intelligent systems need to put different strategies into play during their social interactions.

In this project, we propose to investigate strategic argumentation to reach agreements between humans and intelligent systems in dialogue game settings. To this end, we will develop formal reasoning methods based on non-monotonic reasoning theories such as Formal Argumentation and Answer Set Programming. We will evaluate these formal reasoning methods from formal and practical points of view. The practical evaluation will be set up in the scope of digital companions.

About the position
The successful applicant will be employed by Umeå University and receive a competitive salary for a period of four years of full time PhD studies, provided that the studies are progressing reasonably well. PhD students are typically offered the opportunity to gain teaching experience on suitable undergraduate courses. If so, the employment period is extended to cover the time spent on teaching (at most 20 %). Expected starting date is 1st of January 2021 or as otherwise agreed.

Admission requirements
The applicant is required to have completed a second- cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from overseas, or equivalent qualifications. To fulfil the specific entry requirements for doctoral studies in computing science, the applicant is required to have completed courses at second-cycle level degree equivalent to 90 ECTS credits in computing science, or in a subject considered to be directly relevant for the specialisation in question.
Candidates are expected to have very good knowledge in logic-based formal reasoning methods. Demonstrate knowledge in modelling cognitive or economic theories into formal logical theories is an advantage.
Since research is conducted in an international research environment, the ability to collaborate and contribute to teamwork, and a very good command of the English language, both written and spoken, are key requirements.

Application
A complete application should contain the following documents:
• A cover letter including a description of your research interests, your reasons to apply for the position, and your contact information
• A curriculum vitae
• If applicable, copy of completed BSc and/or MSc thesis and other original research publications
• Copies of degree certificates, including documentation of completed academic courses and obtained grades
• Contact information for two persons willing to act as references

The application must be written in English or Swedish, and attached documents must be written in or translated to English or Swedish. Documents must be in Word or pdf format. Applications must be submitted electronically using the e-recruitment system of Umeå University, and be received no later than August 16, 2020. Reference number: AN 2.2.1-796-20. Log on to the system and apply via the button at the bottom of the web page.

The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapter 12, 2§) and the decision regarding the position cannot be appealed. The recruitment aims at a balanced gender distribution, and in particular women are encouraged to apply.
For additional information, please contact Assoc. Prof. Juan Carlos Nieves jcnieves@cs.umu.se or Prof. Virginia Dignum virginia@cs.umu.se.

We look forward to receiving your application!

Admission

1st of January 2021 or as otherwise agreed

Contact

Juan Carlos Nieves

090-786 61 25

Virginia Dignum

090-786 63 08

Registration number

AN 2.2.1-796-20

Salary

Monthly

Union representative

SACO

090-786 53 65

SEKO

090-786 52 96

ST

090-786 54 31

Read the job description at the university homepage

Apply

before 2020-08-16

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising help.

Post expires on Sunday August 16th, 2020

PhD in computational science with focus on chemistry; dynamic imaging data

Kemiska institutionen

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before

2020-08-10

  • Temporary position longer than 6 months
  • 100%
  • Umeå

The Department of Chemistry, Umeå University, Umeå, Sweden is seeking a PhD-student in computational science with focus on chemistry. The position is for 4 years of research including courses on graduate level. Application deadline is 10th August 2020.

Project description
Biological drugs have over last 15-20 years revolutionized treatment of life threatening and chronic diseases. Development of new biologics is very expensive and time consuming, with approximately 20 % of the cost spent in early R&D and preclinical studies. Key to accelerating these phases is to rapidly evaluate thousands of candidate drugs, for their potential clinical effect.

Modern microscopy has created completely new ways to quickly and efficiently study and evaluate new drug candidates in living cells or in multicellular organoids. The actual data analysis of these images is critical and at the same time challenging due to very large amounts of data and their high complexity.

Image analysis has over last 10 years been revolutionized by AI and so-called deep learning. Deep learning has been successfully used to detect and segment cells, track cell movement over time, and predict cell differentiation. To date, image data analysis has been limited to analyzing single images rather than to capturing over time dynamic biological processes.

This project aims to use Deep Learning-based algorithms and multivariate data analysis tools to develop novel workflow for data analysis of dynamic image data. This aim will be achieved by 1) segmenting out individual cells and track them over time, 2) use deep learning and multivariate data analysis to model the behavior over time, 3) use the models to extract information of cell behavior over time and 4) applying steps 1-3 to study complex biological samples. Data will be provided among others by BICU (Biochemical Imaging Centre Umeå) which recently has received a Sartorius IncuCyte®-system for live cell imaging. The developed algorithms will enable insight into biology that has not previously occurred for high-capacity imaging systems.

Qualifications
To be admitted for studies at third-cycle level the applicant is required to have completed a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level or have an equivalent education from abroad, or equivalent qualifications.

To fulfil the specific entry requirements to be admitted for studies at third-cycle level in computational science and engineering, the applicant is required to have completed at least 90 ECTS credits in computational science and engineering courses, of which at least 30 ECTS credits shall have been acquired at second-cycle level. Computational science and engineering courses refers to courses with major quantitative, statistical or computing science elements, such as courses in computing science, mathematics and mathematical statistics, and relevant courses in biology, ecology, physics and chemistry. Applicants who in some other system either within Sweden or abroad have acquired largely equivalent skills are also eligible.

Good knowledge in English, both written and spoken, is required. The candidate must be structured, have a solution-oriented approach and an interest to learn new things, especially in Advanced Data Analytics. Very good communication skills and the ability to work in a team are also requirements.

Experience with data science tools and machine learning methods, including scripting, mainly in Python and other languages (MATLAB, C, JavaScript, etc.) is a merit as well as experience in experimental planning and data analytics.

Terms of employment
The appointment aims at a PhD degree and the main task of the PhD student is to pursue their doctoral studies, which includes participation in research projects as well as postgraduate courses. In the assignments, teaching and other departmental work (up to a maximum of 20%) can be included. The employment is limited to four years full-time or up to five years when part-time teaching. The salary placement takes place according to the established salary level for doctoral employment.

Application
A complete application should contain the following documents:

  • A cover letter including a description of your research interests and motivation for applying
  • A Curriculum Vitae
  • Certified copies of degree certificates or equivalent, including documentation of completed academic courses, obtained grades and other relevant certificates
  • Name and contact information of at least two reference persons

Applications must be submitted via our e-recruitment system. The last day to apply is 10th August 2020.

For more information please contact Professor Johan Trygg, johan.trygg@umu.se.

About us
The Department of Chemistry is one of the largest departments within the Faculty of Science and Technology with approximately 200 employees, of which approximately 40 doctoral students, and a strong and expanding research. The Department has three major research areas: Biological Chemistry, Environmental and Biogeochemistry, and Technical Chemistry. We are also a strong partner in the KBC, Chemical-Biological Center. Information about the postgraduate education can be found on the Faculty of Science and Technology website: www.umu.se/en/faculty-of-science-and-technology/education/doctoral-studies/chemistry/. For more information about working at Umeå University: https://www.umu.se/en/work-with-us/.

Admission

By agreement

Registration number

AN 2.2.1-835-20

Salary

Monthly salary

Union representative

SACO

090-786 53 65

SEKO

090-786 52 96

ST

090-786 54 31

Read the job desription at the university homepage

Apply

before 2020-08-10

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising help.

Post expires on Monday August 10th, 2020

Postdoctoral position (2 years) in multivariate analysis and deep learning

Kemiska institutionen

Apply

before 2019-10-02

  • Temporary position longer than 6 months
  • 100%
  • Umeå

Department of Chemistry is looking for a postdoctor to a project where we will develop new e-science methods that fundamentally integrates Deep Learning and Multivariate analysis. The main task for the postdoctor will be to conduct R&D in multivariate analysis and deep learning. The employment is full-time for a period of two years with starting date as soon as possible or as agreed betweenthe two parties.

Project description and working tasks
In recent years, new tools, concepts and technologies, have brought new hope for fundamental understanding of chemistry, biology and medicine to drive the future development of systems medicine and systems biology. The main drivers have been new pioneering technologies (e.g. robotics, analytics, AI) in instruments that will fundamentally transform how research is conducted and the results thereof. Deep learning and multivariate analysis have both proven to be key data driven modelling technologies for delivering on this promise. The goal of this project is the integration of these new advanced data analytics solutions that builds on the complementary values of deep learning and multivariate analysis to model complex systems.

In this project we will develop new e-science methods that fundamentally integrates deep learning and multivariate analysis. We will apply and validate these methods in several ongoing projects, among others “Wine as a system” project – in collaboration with Stellenbosch, South Africa and Umeå Plant Science Centre (UPSC), from where we will take benefit of large-scale systems biology data, in a truly ambitious, yet realistic attempt to study wine from a systems biology perspective.

More specifically, this project will be focused on hybrid modeling, meaning integration of different modeling techniques, for example how multivariate analysis technology can be used to train and fine-tune deep learning models and vice-versa, how deep learning can be used as pretreatment tool for multivariate analysis.

In the working tasks are included:

  • Conducting R&D in multivariate analyses and deep learning
  • Developing methods for deep learning based analysis of unstructured data
  • Developing state-of-the-art algorithms in deep learning including methods for improving interpretation and robustness of deep learning models
  • Developing new workflows for efficient training of deep learning models when labels are scarce.

Qualifications
The required qualification is a doctoral degree or a foreign degree that is deemed equivalent in computer science, computer engineering, mathematics, physics or equivalent. To be eligible the degree must have been completed a maximum of three years before the end of the application period unless certain circumstances exist.

A solid understanding of linear algebra, algorithms, machine learning, optimization, numerical methods is required as well as experience with data science tools including scripting, preferably in Python. Good skills in English both spoken and written are required. A structured and solution-oriented approach and good communication skills and ability to work in a team are also requirements. Experience in Design-of-Experiments and data analytics is desirable.

Application
The application must contain the following documents:

  • A cover letter that describes qualifications, research interests, and motivation for application (maximum 2 pages)
  • A curriculum vitae, including a publication list
  • A copy of PhD thesis and relevant publications
  • A copy of doctoral degree certificate or equivalent and other relevant degree certificates and grades,
  • Name and contact information of at least two reference persons
  • Other relevant documents

Application should be written in English or Swedish. Applications must be submitted via our e-recruitment system Varbi no later than October 2, 2019.

For more information please contact Professor Johan Trygg, email: johan.trygg@umu.se

Information about the department
Department of Chemistry is the largest department in the Faculty of Science and Technology, with approximately 200 employees, including about 40 doctoral students, and with a strong and expanding research. Three major areas of research; Biological Chemistry, Environmental and Biogeochemistry and Technical Chemistry, represents the research and chemistry education of our department. We are also a strong partner in KBC, The Chemical-Biological Centre. For more information about working at Umeå University: www.umu.se/en/work-with-us/

Admission

As soon as possible or by agreement

Registration number

AN 2.2.1-1066-19

Salary

Monthly salary

Union representative

SACO

090-786 53 65

SEKO

090-786 52 96

ST

090-786 54 31

Read the job description at the university homepage

Apply

before 2019-10-02 Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising help.

Post expires on Wednesday October 2nd, 2019