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

• English
• Norsk Nynorsk

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?

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At the Faculty of Medicine, Department of Clinical Science, a full-time position as postdoctoral research fellow is available for a period of three (3) years. The position is part of the projects “Development of Digital Endocrine Tools based on Digital Twins” in collaboration with a research group at Stanford University and ”System dynamics approach Using Chemical Compounds to Elucidate the Structure of Polycystic Ovarian Syndrome (SUCCESS)”, financed by Novo Nordisk Foundation.

The project is related to digital medicine and artificial intelligence, particularly the goal of developing a digital twin for the body's hormonal system (the endocrine system). This involves creating a dynamic, interactive real-time data model that represents the endocrine physiology at an individual level (precision medicine), both in healthy and sick individuals. A digital twin is built up of multimodal data from a variety of sources, for instance sensor data (for instance from watches and phones), self-reported patient data, and omics data from tissue analyses (genomics, transcriptomics, proteomics, etc.). When such data are compiled for an individual, one may be able to develop therapeutic tools that predict individual response to various treatments and establish new diagnostic tools. The research group has access to clinical expertise, patient material, and tissue samples, and to expertise on organoid stem cell-based models as a basis for omics data, but needs to strengthen its analytical competence. Work tasks that are anticipated include:

• Implementation of a secure clinical data storage platform.
• Development of analysis tools for multimodal data including real-time data streams as well as omics data.
• Contribute to the development of a digital endocrine twin.

The research group has collaborations with, for example, Stanford Medical, and there will be possibilities for international mobility.

• The applicant must hold a relevant Norwegian PhD degree or equivalent degree, or have the doctoral thesis submitted prior to the application deadline. It is a condition of employment that the PhD degree has been awarded and at the latest within 5 months after the closing date for applications.
• Applicants must have obtained at least a master's degree or equivalent education in computer science or related fields (for instance mathematics, statistics, medicine with a strong emphasis on computational and programming aspects).
• Experience in machine learning is a requirement.
• Experience with programming and app development will be emphasized.
• Personal skills, including independence, abilities to cooperate, a great work capacity and enthusiasm for research will be emphasized in the evaluation.
• Proficiency in both written and oral English

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. You cannot be employed as a postdoctoral research fellow for more than one fixed term period at the same institution.

The employee may be assigned required duties in the form of teaching and similar work at the department.

The fixed term period for the position is three years, with the possibility of an extension of the period with up to one year if a research-related stay abroad shall be included in the employment period.

See regulations for appointments to Postdoctoral Research Fellow, Research Fellow etc.

• Exciting development opportunities as part of your role in a strong professional environment
• Salary NOK 624 500 (code 1352, pay grade 64) 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

• A brief account of the applicant`s research interests and motivation for applying for the position
• Transcripts and diplomas (applicants with education from other countries than Norway must enclose witnessed diplomas in both the original language and authorized translations) and documentation of submitted doctoral thesis
• Complete list of publications
• Publications. It is important that each of the scholarly works on which the committee should place special emphasis, is attached in its entirety (in PDF)
• Two references (name and contact information)

Further information about the position can be obtained from Professor Helge Ræder (PI), e-mail: [email protected] or phone: + 47 55 97 52 63.

The University of Bergen 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 principles of public access to information when recruiting staff to academic positions. Information about applicants may be made public even if the applicant has asked not to be named in the list of applicants. The applicant will be notified if their request is not met.

Further information about our employment process can be found here .

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.

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20th June 2024

University of Bergen

Bergen

Scope

Fulltime (1 positions) Fulltime (%)

Fixed Term

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