Tag-arkiv: Umeå University

PhD student position in computational science with focus on chemistry

Kemiska institutionen

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before 2020-02-28

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

The Department of Chemistry 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 28 February 2020.

Project description
Food, wine and biopharma industries use in their production, from starting material to final product, multi-step chemical and biological processes, with each step being extensively complex. The difficulty to “control” the individual steps and accurately define the composition of the different raw materials and intermediate components explains partly why these processes are difficult to monitor and control. Linking what happens in the process from its starting materials up to the final product and finding clear causal relationships between most crucial factors is not an easy task, which can’t be achieved when studying each process step separately. The scientific challenge and opportunity therefore remains to study these chemical and biological processes as whole systems.

Understanding of these complex systems can be obtained by comprehensive (chemical, physical, phenotypic etc.) characterization of its steps, what creates huge amount of data. Improved multivariate algorithms, machine learning and visualization techniques are needed to enable handling of these large and complex datasets. During the project, the PhD student will develop methods that will enable modelling the combination of data sets from different platforms gathered at the same time for the same set of samples and combination of data sets from the same analytical platform but gathered at different time points. Together these results will characterize common (joint) and specific (unique) variations between these data sets, also linking to the design of experiments, for the future improvement of the production steps. The work includes development of innovative design of experiment strategies, development of new advanced data analytics tools within MVA and deep learning methodologies and development of new methods and approaches for improved interpretation and visualization of the multivariate and deep learning models.

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 ability to work in a team are also requirements.

Experience with data science tools including scripting, mainly in Python is meritorious as well as experience in Design-of-Experiments 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 and obtained grades
  • 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 28 February 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 2.2.1-64-20

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 2020-02-28

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 Friday February 28th, 2020

Ph D student position in Data Science

Institutionen för datavetenskap

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before 2020-02-28

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

Research topic: Explainability of Autonomous Systems based on Machine Learning

Umeå University, the Department of Computing Science, is seeking outstanding candidates for a PhD student position in Data Science with. Deadline for applications is February 28.

The Department of Computing Science is a dynamic environment with more than 100 employees representing more than 20 countries worldwide. We conduct education and research on a broad range of topics in Computing Science. The research will be performed under the supervision of Prof. Kary Främling (Data Science) and involves Artificial Intelligence and Machine Learning methods such as neural networks, rule-based reasoning, semantic networks, and reinforcement learning, as well as distributed multi-agent systems.

KAW and WASP
The project is financed by the Knut and Alice Wallenberg foundation (KAW). The intention is that the student will be associated to the WASP-AS (see https://wasp-sweden.org/about-us/wasp-as/) or WASP-AI graduate program (see https://wasp-sweden.org/about-us/wasp-artificial-intelligence/). The graduate schools within WASP 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 partner universities, providing unique opportunities for students who are dedicated to achieving international research excellence with industrial relevance.

Research project
The PhD student should have a focus on machine learning methods for detecting and predicting anomalies in autonomous systems and machines, as well as methods for improving the performance of such systems. The need to act rationally in a variety of different contexts is particularly relevant for applications involving physical assets, such as autonomous cars. In such systems the reliability, robustness, stability and self-assessment capabilities are crucial for their safe operation. Explainability and justification of actions to end users are crucial in order to achieve and maintain end-user confidence and trust in such systems.

This PhD project will focus on the following topics:

  1. Intelligent control: Use Machine Learning and related technologies targeted towards self-learning and adaptive control.
  2. Embedded intelligence: Emphasis would be on augmenting the product intelligence embedded in products so that they can auto-adapt themselves according to their operating conditions, communicate with other products and adapt to them, as well as access and use external information systems that are relevant to them.
  3. Explainable AI (XAI) in real-world environments and applications. Active collaboration with industrial partners will be encouraged and facilitated, as well as real-world implementations for smart factories, smart cities, smart homes, smart mobility etc.

About the position
The successful applicant will receive a competitive salary for a period of four years full time research, provided that expected study and research results are achieved. The position may also include part-time teaching (normally up to 20%). If so, the total time for the position is extended accordingly (up to maximum five years). Expected starting date is 1st of May 2020 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 60 ECTS credits in computing science, or in a subject considered to be directly relevant for the specialisation in question.

Candidates are expected to have a background in computer science; a specialization in artificial intelligence or machine learning is a merit. Candidates from related disciplines, such as distributed web programming, with a very good understanding of fundamental concepts of computer science and good programming experience may also be considered. Experience from Internet of Things (IoT), or research projects relating to IoT is also a merit. 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

Applications must be submitted electronically using the e-recruitment system Varbi, and be received no later than February 28, 2020. Reference number: AN 2.2.1-79-20.

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. As we strive for a more balanced gender distribution within the department, we encourage women as applicants.

For additional information, please contact Prof. Kary Främling Kary.Framling@umu.se

We look forward to receiving your application!

Admission

May 1, 2020, or as otherwise agreed

Contact

Kay Främling, professor

+46 72 144 08 60.

Registration number

AN 2.2.1-79-20

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 2020-02-28

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 Friday February 28th, 2020

Postdoctoral position in Virology

Postdoctoral position

Avdelningen för virologi

Apply

before 2020-03-19

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

Postdoctoral position

Umeå University, Faculty of Medicine

Umeå University is dedicated to providing creative environments for learning and work. We offer a wide variety of courses and programs, world leading research, and excellent innovation and collaboration opportunities. More than 4 000 employees and 30 000 students have already chosen Umeå University. We welcome your application!

The Faculty of Medicine, which consists of 13 departments, is responsible for biomedical research and courses in the field of nursing and health care and has an extensive research and graduate education in more than 80 subjects.

Postdoctoral position in Virology

The Department of Clinical Microbiology, Umeå University, is looking for a research associate (postdoc) on a 2 year position. The associate will be active in a research project aiming at elucidating the contribution of endothelial glycocalyx degradation to hemorrhagic fever with renal syndrome (HFRS) disease and pathogenesis caused by Puumala virus infection. The long term goal is to identify novel targets for intervention.

Research Topic

Puumala virus is an orthohantavirus, and endemic in Northern Sweden and Eurasia. The virus is transmitted to humans by inhalation of contaminated bank vole excreta. Puumala virus causes a mild viral hemorrhagic fever and the disease is characterized by fever, renal dysfunction, and capillary leakage with increased risk for thromboembolic complications. Endothelial cells constitute a major target for infection and are believed to be central to disease pathogenesis. In particular, we are interested in the contribution of the endothelial glycocalyx to cardiovascular complications during HFRS.

In this project, we will use both in vitro endothelial cell models and protein-protein interaction studies to identify factors that degrade the endothelial glycocalyx during HFRS. Furthermore, the role of the endothelial glycocalyx in vascular leakage and thrombosis will be studied using in vitro cell models.

Responsibilities

You will be responsible for carrying out research as part of the Fors Connolly laboratory.

You will:

  • Cultivate endothelial cells and perform infection assays with Puumala virus.
  • Study the effect of patient plasma on in vitro endothelial glycocalyx and identify factors that cause degradation.
  • Identify specific factors causing endothelial glycocalyx degradation during HFRS using surface plasmon resonance.
  • Participate and contribute to scientific group meetings involving the groups and their collaborators.
  • Contribute as appropriate to the publication of research findings.
  • Participate in training and supervision of scientists and research students.

Selection criteria

In the first place applicants who have completed a doctoral degree no more than three years before the application deadline are considered. If there are special reasons, an earlier doctoral degree could be considered. Special reasons refer to leave due to illness, parental leave or clinical service, trust assignments within trade union organizations or other similar circumstances”.

The successful candidate should have a PhD in medical or natural sciences with focus on infection biology, cell biology, or related disciplines.

Expertise both in virology and in cell biology with particular focus on the endothelial glycocalyx would be a strong asset. Experience with transwell permeability assays, immunofluorescence, isolating PBMCs, handling platelets, endothelial cell culture, handling viruses in a BSL-2 environment, and ELISAs are necessary requirements for this postdoc.

Ability to independently plan experiments, develop methods and carry out analyzes, and summarize results in English is a requirement.

It is expected that the candidate can conduct research in a highly independent manner. In addition, the candidate should have documented good ability to work in an interdisciplinary environment at the interface between medicine and biology and to cooperate with other research groups.

Research environment

This postdoc project will be carried out in a highly interdisciplinary environment. The fellow will be active in the young group of Anne-Marie Fors Connolly at the Department of Clinical Microbiology. Her group focuses on cardiovascular complications following HFRS from molecular interactions to population-based epidemiological studies. In particular, a main focus is on the contribution of endothelial cells to HFRS pathogenesis. The fellow will further work in close collaboration with the groups of Marta Bally (Department of Clinical Microbiology, Virology) and Clas Ahlm (Department of Clinical Microbiology, Infectious Diseases).

Position summary

Full time position, two years – start according to agreement.

Application

The application should contain:

  • In one A4 page highlight your specific qualifications and motivation for the position
  • Attested copy of PhD certificate 
  • Curriculum Vitae include full list of publications
  • Letters of recommendation and name of at least 2 reference persons

The application is made electronically (via the system Varbi).

Last day to apply is: March 19, 2020

For questions, please contact:

Anne-Marie Fors Connolly, Department of Clinical Microbiology,

E-mail: anne-marie.fors.connolly@umu.se

We welcome your application!

Admission

Enligt överenskommelse

Contact

Anne-Marie Fors Connolly, +46-90-785 09 21

Registration number

AN 2.2.1-1733-19

Salary

Månadslön

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 2020-03-19

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 Thursday March 19th, 2020

Postdoctoral position in cognitive neuroscience

Institutionen för integrativ medicinsk biologi

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before 2020-02-29

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

Project description:

We are announcing a postdoctoral position in cognitive neuroscience at the Department of Integrative Medical Biology placed at the Umeå center for Functional Brain Imaging (UFBI, www.ufbi.umu.se). UFBI is an interdisciplinary research center where functional and structural brain imaging is used to address several basic science and clinical research questions. The current position is in Researcher Johan Eriksson’s research group.

The purpose of the current project is to investigate how the brain processes conscious and unconscious information, by applying various perceptual and cognitive tasks in combination with functional brain imaging (fMRI).

Qualifications:

Eligible to apply are individuals with a PhD in a relevant field, or equivalent scientific merits. Priority will be given to applicants who graduated within a maximum of three years prior to the application deadline. A successful candidate should be skilled in cognitive neuroscience, statistics, and scientific communication in english, both orally and in writing. Experience with functional brain imaging, preferably fMRI, and programming skills, are of advantage. The applicant should be able to work independently as well as collaboratively in a research team. Emphasis is put on the applicants suitability for the current project.

Application for the fellowship should include:

1.      A brief cover letter (about one page) that describes the applicant’s research experience, research interests, and suitability for the project.

2.      Curriculum vitae including information about academic degrees (with verifications), technical expertise, employments, list of publications, and names and contact information for two references.

For more information, contact Dr. Johan Eriksson, e-mail: johan.eriksson@umu.se, Department of Integrative Medical Biology, Umeå University.

The position is for two years. Start date: April 1st 2020, or upon agreement

Admission

April 1st 2020, or upon agreement

Contact

Dr Johan Eriksson

johan.eriksson@umu.se

Registration number

AN 2.2.1-2092-19

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 2020-02-29

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 Saturday February 29th, 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