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Postdoc Researcher Position in University of Oslo Norway

Postdoctoral Research Fellow in Computer science – Uni of Oslo, Norway, 2022


Postdoctoral Research Fellow available at the Department of Biosciences as part of the UiO:Life Science Convergence Environment AUTORHYTHM, at the University of Oslo, Norway – 2022

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General Info

Position: Postdoctoral Research Fellow
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 3 Years
Salary: 534 400 – 615 800 NOK/Year

Department of Biosciences

University of Oslo (UiO), Norway


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Qualification Details

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Applicants must hold a degree equivalent to a Norwegian doctoral degree in computer science. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment.
  • Knowledge of deep learning methods for image segmentation are essential. Experience with medical image segmentation, explainable AI methods such as GRAD-CAM or quantification of uncertainty are a bonus.
  • Fluent oral and written communication skills in English

Personal skills

  • We are looking for a talented, enthusiastic and determined person who can work both independently as well as in the context of an interdisciplinary team.
  • The successful candidate is positive-minded, is looking forward to learning and developing new techniques, has good communication skills and is well organized.
  • Personal suitability and motivation for the position

Responsibilities/Job Description

The AUTORHYTHM Convergence Environment aims to build a strong interdisciplinary research environment to explore complex biological problems. The first goal is to decipher the spatiotemporal nature of autophagy and make predictions for improving a healthy lifespan. To reach this goal we will use machine learning, sonification strategies, mathematical modelling and experimental systems of cell biology and ageing. AUTORHYTHM builds on the expertise of the seven research groups involved, using a combination of experiments in cellular and animal model systems, mathematical modelling, machine learning and music technology. One PhD student or postdoctoral fellow will be recruited to each of these four fields and this group will work together on the AUTORHYTHM project in close contact with the respective research group that each candidate is embedded in.

The candidate will be employed through the Institute for Biosciences at University of Oslo and work in the interdisciplinary AUTORHYTHM team. The work place will be in the Cancer Molecular Medicine group (headed by Dr. Enserink) at the Radium hospital, which is part of Oslo University Hospital, the largest academic hospital in Scandinavia. The group is a member of a Norwegian Centre of Excellence (Centre for Cancer Cell Reprogramming, CanCell), which consists of six research groups focused on finding novel mechanisms in cancer development that can be targeted with novel cancer therapy. One of the main research aims of the group is to better understand the regulation of autophagy.

The candidate will also work with the Holistic Systems Department at the Simula Research Laboratory under the lead of Dr. Michael A. Riegler. The department has extensive experience in machine learning specifically in the medical domain. The current focus lies on medical data analysis including image segmentation, explainable artificial intelligence, synthetic data generation and combining statistical methods with machine learning. Simula is a publicly-owned ICT research lab and their main objective is to reach new levels of understanding and to create vital knowledge about fundamental scientific challenges that are of genuine value to society.

The candidate will work with existing high-content time-series imaging data to develop new deep learning algorithms with the aim to analyze the spatiotemporal nature of autophagy by image segmentation and classification, and to extract novel features. The candidate will use the existing datasets to generate synthetic datasets and develop methods to quantify the uncertainty when predicting a new and unobserved dataset. Furthermore, this will be used to extend existing deterministic performance metrics to also measure a method’s ability to quantify uncertainty. Finally, the candidate will pursue interpretability of the model by also taking uncertainty into consideration. This will include developing procedures that automatically summarize the main properties of the different modes of the parametric space of DL models, which will enhance explainability.

The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

  • Cover letter (statement of motivation, summarizing scientific work and research interest)
  • CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
  • Copies of educational certificates, academic transcript of records
  • A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
  • A link to a repository of recent or current work within the field of machine learning (preferably github)
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).

In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidates motivation and personal suitability. Interviews with the best qualified candidates will be arranged.

It is expected that the successful candidate will be able to complete the project in the course of the period of employment.

About the Department/Section/Group

Department of Biosciences (IBV) is one of nine departments at the Faculty of Mathematics and Natural Sciences. Research in the department is organised in five sections covering topics within biochemistry, molecular biology, physiology, cell biology, genetics, aquatic biology, toxicology, ecology, and evolutionary biology. Education across these topics is offered for around 350 bachelor, 250 master, and 120 PhD students. With 52 permanent professors/associate professors, post-docs, researchers, technical, and administrative personnel, the Department has a total staff of 340 from more than 30 different countries. The Department aims to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements.

About the Employer:

Note or Other details

Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.

We offer

  • Salary NOK 534 400 – 615 800 per annum depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)
  • Attractive welfare benefits and a generous pension agreement
  • Professionally stimulating working environment
  • Vibrant international academic environment
  • Postdoctoral development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

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Contact details

For further information please contact:

Jorrit Enserink, phone: +47 22 78 19 82 e-mail: [email protected], Helene Knævelsrud [email protected] or Michael A. Riegler [email protected]

For technical questions regarding the recruitment system please contact: HR adviser Nina Holtan, phone: +47 22854424, e-mail: [email protected]

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