Postdoctoral Research Fellow (100 %) 3 years at the Department of Clinical Science

14 Mar 2024
Job Information

Organisation/Company

University of Bergen

Department

Department of Clinical Science

Research Field

Medical sciences » Medicine

Researcher Profile

Recognised Researcher (R2)

Country

Norway

Application Deadline

14 Apr 2024 - 23:59 (Europe/Oslo)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

37,5

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description
UiB - Knowledge that shapes society

Through robust and close interaction with the world around us – globally, nationally and locally – we shall be instrumental in building a society based on knowledge, skills and attitudes.

Do you want to take part in shaping the future?

Postdoctoral Research Fellow position

At the Faculty of Medicine, Department of Clinical Science, a full-time (100 %) position as postdoctoral research fellow is available for a period of three (3) years. The position is part of the project ”TRUST-AI4D:TRUSTworthy AI models to predict progression to complications in patients with Diabetes”, financed by Trond Mohn Research Foundation. The project is a collaboration with the department of mathematics and bioinformatics at UiB.

About the project/work tasks:

• Diabetes is a substantial health burden. The disease can develop and progress in different ways in different patients, challenging both our understanding of an individual underlying pathophysiology and our clinical planning of therapies.
• Recent developments in computational biology, machine learning, and artificial intelligence make it possible to learn about these diverse pathways of disease progression from multi-omics data. This goal will help us understand, and potentially treat, diabetes progression accounting for individual variability: aligning with the philosophy of data-driven precision medicine. However, for responsible and robust applications, the process of learning and classifying diabetes progression behaviour must be transparent: an AI “black box” which suggests decisions without clear reasoning is not sufficient.
• This project will involve developing and applying approaches for the inference of disease progression in large state spaces, with large-scale biological data, in order to transparently learn how diabetes progresses within and between patients. There is a particular focus on “hypercubic inference” for accumulation processes – that is, learning the dynamics of processes evolving on a transition graph that takes a particular structure.
• References example:
  • doi.org/10.1016/j.cels.2019.10.009  (hypercubic inference);
  • doi.org/10.1007/s13218-023-00822-9 (accumulation models for disease progression);
  • doi.org/10.1038/s41746-019-0140-y (this approach applied to severe malaria progression)

The project is interdisciplinary, with elements of computational biology, biostatistics, and machine learning. The position is within a diverse team, including several members in the Department of Mathematics working on these hypercubic inference approaches, and several members in clinical research dealing with the clinical data. Training will be provided on these methods, and the applicant should have experience with statistical/mathematical modelling and computational biology.

Qualifications and personal qualities:

The applicant must hold a Norwegian PhD or an equivalent degree within statistics, applied mathematics, bioinformatics, informatics or related quantitative discipline, or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded

• Experience with statistical modelling, and with R is required
• Experience working with large-scale “omics” biological data, working with accumulation models, and working in C/C++ and Python is an advantage
• Experience in counseling, teaching, grant applications writing is an advantage
• Experience in diabetes research is an advantage
• Work independently and in a structured manner, and have the ability to cooperate with others
• Applicants must have excellent skills in both written and oral English 
• Personal and relationsal qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates

We support team players to reach their best potential and give the opportunity to develop your professional skills in a diverse operative environment. As a part of collaboration with the department of mathematics, we strive to provide support in both clinical and bioinformatics science. Bergen is beautifully located on the coast with easy access to nature, including woods, fjords, and high mountains.

About the position of postdoctoral research fellow:

The position of postdoctoral research fellow is a fixed-term appointment with the primary objective of qualifying the appointee for work in top academic positions. The fixed-term period for this position is three years. Individuals may not be hired for more than one fixed-term period as a postdoctoral research fellow at the same institution.

Upon appointment, applicants must submit a project proposal for the qualifying work including a work schedule. For postdoctoral research fellow positions associated with externally financed projects, the completion of the project proposal for the qualifying work will take place in consultation with the project/centre manager. It is a requirement that the project is completed in the course of the period of employment.

We can offer:

• Exciting development opportunities as part of your role in a strong professional environment
• Salary NOK 615 700 (code 1352, pay grade 63) in the state salary scale. For applicants with a degree in Medicine or Dentistry, salary NOK 624 500 (code 1352, pay grade 64). For applicants with a medical specialization, salary NOK 646 000 (code 1352, pay grade 66)
• Enrolment in the Norwegian Public Service Pension Fund
• Good welfare benefits

Your application must include:

• A brief account of the applicant's research interests and motivation for applying for the position.
• The names and contact information for two reference persons. One of these must be the the main advisor from the PhD programme.
• CV
• Transcripts and diplomas (applicants with education from other countries than Norway must enclose witnessed diplomas in both the original language and authorized translations) and official confirmation that the doctoral thesis has been submitted
• Relevant certificates/references
• List of any works of a scientific nature (publication list)
• Complete list of publications (as applicable)

• Publications (in PDF) it is important that each of the scholarly works on which the committee should place special emphasis, is attached in its entirety

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge

General information:

Detailed information about the position can be obtained by contacting: Prof. Valeriya Lyssenko, email: [email protected] , phone (+47) 55 97 52 69.

UiB must follow Norway’s export control regulations when processing applications for this position.

The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.

Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.

Further information about our employment process can be found here .

 

 

About The University of Bergen (UiB) 

The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad. 

There are five departments and eight centres at Faculty of Medicine.

Read More about the facult y and departments .

Requirements

Research Field

Medical sciences » Medicine

Education Level

PhD or equivalent

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

University of Bergen

Country

Norway

Geofield

Where to apply

Website

https://www.jobbnorge.no/en/available-jobs/job/259809/postdoctoral-research-fel…

Contact

City

Bergen

Website

http://www.uib.no

Street

Jonas Lies vei 87

Postal Code

N-5021

STATUS: EXPIRED