Postdoctoral Research Fellowship in Molecular and Systems Neuroscience

3-year Postdoctoral fellow position now available at the Center for Integrative Neuroplasticity (CINPLA) at Department of Biosciences.

Application deadline: 18 April 2018

Position as postdoctoral research fellow available at the Department of Biosciences and in the research group of Associate Professor Marianne Fyhn at the Center for Integrated Neuroplasticity (CINPLA). The position is in collaboration with Professor Cliff Kentros at the Kavli Institute for Systems Neuroscience, NTNU.

The fellowship period is three years. Within the framework of the position duties may be assigned. Anticipated start date no later than 01.06.2018. This project is part of a large interdisciplinary project called ‘DigiBrain’ supported by the Norwegian Research Council.


Project description:

The announced position is a collaboration between the research groups of Fyhn and Kentros. Their joint expertise covers in vivo recordings of neural activity during behavior and development of genetic tools for cell type specific genetic perturbations of neural circuits at multiple levels.

The goal of the present project is to identify molecular and cell type specific mechanisms contributing to defined aspects of the disturbed information processing observed in severe mental disorders such as schizophrenia.

The long-term goal is to link combinations of risk gene variants observed in patients to altered neuron function. To achieve this, the project will make use of recent advances in gene editing and transgenic to be applied in in vivo models. Effects of the perturbations will be assessed by The effects of disease linked genetic variants will be assessed via standard and imaging based electrophysiology approaches (including calcium and voltage sensor imaging) in vitro and in vivo. The work will be coupled with parallel projects developing computational models at the single neuron and network levels.

Thus, the project involves interdisciplinary work and close collaborations between molecular biology, experimental neuroscience and computational modelling. As such, the successful candidate will work with both experimental and computational neuroscience research groups at the University of Oslo and NTNU.

Qualification Requirements:

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 peers with respect to academic credentials.

  • The candidate must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in Molecular Biology, Cell Biology, Neurobiology or similar field. Doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent on the public defence of the doctoral thesis being approved.
  • Fluent oral and written communication skills in English

The preferred candidate will have experience in molecular biology, preferably genome or RNA sequencing or gene editing. Furthermore, experience from experimental physiology, preferably from imaging (e.g., multiphoton microscopy) is an advantage. Due to the interdisciplinary nature of the project, the candidate should also have experience with or a strong interest in computational neuroscience.

The research fellow should be able to work independently, while at the same time engage in close collaborations.

The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines.

Please also refer to the regulations pertaining to the conditions of employment for post-doctoral fellowship positions here.

We offer:

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.

  • 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

How to apply:

The application must include:

  • Application letter, including a motivation for applying
  • CV (summarizing education, positions, pedagogical experience, administrative 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)
  • Apply here:

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).


Formal Requirements:

  • Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
  • No one can be appointed for more than one specified period at the same institution.
  • 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 etc.
  • The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.


Contact details:

Associate professor : Marianne Fyhn,

Professor: Cliff Kentros,

For information regarding the recruitment system:

HR Adviser: Torunn Standal Guttormsen, telephone:22854272,


Other information:

Published Mar. 14, 2018 4:16 PM - Last modified Mar. 14, 2018 4:16 PM