The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

Department of Biosciences (IBV) is a research and education department at the University of Oslo. The Department has one Centre of Excellence and four research sections. The Department has 52 faculty members and associate professors, and approximately 190 PhD students, post docs and researchers, in addition to technical and administrative staff. The working environment is international, and scientists from over 30 countries contribute to the working environment. The Department aims to maintain high international standards both within research and teaching.
IBV offers research-based education within several aspects of bioscience, including ecology, behavioural ecology, evolution, physiology, microbiology, biochemistry, biomedicine, genetics, bioinformatics and biotechnology. Around 380 students are enrolled in bachelor’s programs, and 90 in master’s programs.

Postdoctoral Research Fellowship in Neural Systems Modelling

Position as postdoctoral research fellow available at the Department of Biosciences.

The fellowship period is 4 years, with 25 % compulsory work.

Anticipated start date is 01.02.2018. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.

Project description:


We study neural processing and plasticity of neural circuits at multiple levels, from the morphological changes at the synapse to functional changes of network activity in behaving animals. The position will be part of the project ‘BrainMatrix’ funded by the Norwegian Research Council, and seeks to explore the biophysical and physiological roles of perineuronal nets (PNNs) in neuron information processing and plasticity. PNNs are extracellular protein complexes thought to act as long-lasting synaptic anchors, thereby defining stable structural and functional connectivity in widespread but discrete regions of the brain. The entire BrainMatrix project is built on interdisciplinary principles and will involve strong interaction between mathematical modelling and experimental goals across the levels of investigation. As such, a key feature of this position will be to work between the outstanding computational and experimental groups at Simula Research Laboratory ( andthe University of Oslo ( For this reason, the candidate should have experience in either computational neurophysiology/cell electrophysiology or experimental, and a strong desire and potential to expand their skillset to include the other discipline.


Job description:


We are searching to fill a 4-year full time postdoctoral, with 75% of the time devoted to research and 25% reserved for other career promoting activities such as lecturing or mentoring. The successful candidate will develop and implement models for interrogating the effects of genetic and pharmacologic manipulation of PNNs on single neuron and network function in visual and spatial information processing. The modeling approach will take advantage of tools and resources available through the Human Brain Project, and developed locally such as the NEST and LFPy simulators. The experimental goals will involve opportunities to apply or learn classical slice electrophysiology and single/multi-unit extracellular recordings, as well as advanced in vivo optical recordings and in vivo patch clamping. Within the framework of the position duties corresponding to one year of compulsory work may be assigned.




The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. 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.


The candidate must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in Physiology, Biology, Physics, Biophysics, Applied Mathematics, or related fields. Interested applicants should also:

  • Have strong interest in neurobiology and computational approaches for investigating neuronal and network function.
  • Have solid programming skills and experience writing non-trivial programs particularly in Python.
  • Proficiency with major techniques in experimental neurophysiology at the cellular or network level is a major asset.
  • Possess a commitment to interdisciplinary research and communication across educational backgrounds.
  • Possess good interpersonal skills and show willingness to work as part of an international team.

Demonstrate an excellent level of spoken and written English.

The main purpose of post-doctoral research fellowships is to qualify researchers for work in top academic positions within their disciplines. The candidate will have access to a range of research schools and courses that provide both technical training as well as transferrable skills courses and workshops. We provide broad training possibilities in the required experimental methods within a stimulating and interdisciplinary academic environment that provides outstanding training in experimental and computational neuroscience.


Please refer to the regulations pertaining to the conditions of employment for post-doctoral fellowship positions:

We offer:


The successful candidate will work directly with Drs. Andy Edwards, Marianne Fyhn, Torkel Hafting, Koen Vervaeke, and Gaute Einevoll at the University of Oslo, as well as Dr. Aslak Tveito at Simula Research Laboratory. Together these investigators will provide an outstanding training environment both in the specific disciplines of systems neuroscience and more broadly in computational electrophysiology.

  • Salary NOK 490 900 – 569 000 per annum depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)

  • A professionally stimulating working environment

  • Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities


The application must include:

  • Application letter, including a motivation for applying
  • CV (summarizing education, positions, and academic or industrial work - scientific publications and software development experience, pedagogical experience, and other qualifying activity)
  • A brief account (one page maximum, as a separate file) of the applicant’s research interests and motivation for applying for the position
  • Copies of educational certificates, transcript of records and letters of recommendation
  • List of publications
  • Names and contact details of two or three references (name, relation to candidate, e-mail and telephone number) 

The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. 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).

Formal regulations:

 According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.


The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.


Contact persons:

For further information please contact: Associate Professor Andy Edwards,
phone: +47 40472451,

For questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, phone: +47 22854272, e:mail:

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About this job

  • Deadline
    Wednesday, January 10, 2018
  • Employer
    University of Oslo
  • Website
  • Municipality
  • Jobbnorge ID
  • Internal ID
    2017/14040 -1353/ F 26
  • Scope
  • Duration

About applications

  • Applications on this job are registered in an electronic form on
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

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