Do you want to contribute to top quality medical research?

This position offers a unique opportunity to leverage the synergy between experimental and computational approaches to fundamental questions about human cognitive capabilities.  The position is part of a larger project funded by the ERC focusing on a new model of working memory: The Hot-Coal hypothesis of working memory | Hot-Coal WM Project | Fact Sheet | H2020 | CORDIS | European Commission ( In particular, the successful applicant will work on the theoretical aspects of these models. For a relevant publication on the experimental side of the project see: Working memory control dynamics follow principles of spatial computing | Nature Communications.

Your mission

The position involves research in computational neuroscience with a focus on cognition. In particular, you are going to build large-scale, recurrent computational network models (RNNs) and simulate relevant experimental paradigms. You are expected to analyse simulation data and perform quantitative as well as qualitative evaluation of the model’s compatibility with heterogeneous experimental data. The position also includes assembling and publication of scientific papers. The position is a full time employment for two years, with the possibility of extension. 

Your profile

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.

In the appointment process, special attention will be given to research skills relevant to the project, previous research experience and to the ability to collaborate in cross-disciplinary groups. A track record of constructing, simulating and analyzing neural network models is highly meritorious. Publication record in computational neuroscience, and particularly in the context of cognitive function, is meritorious. 

Excellent English language skills, both written and spoken, as well as scientific writing skills are required. 

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Solna

Read more about the Department of Clinical Neuroscience
Choose to work at KI – Ten reasons why


An employment application must contain the following documents in English or Swedish:

  • A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
  • A complete list of publications
  • A summary of current work (no more than one page)

Welcome to apply at the latest May 25th 2023. 

The application is to be submitted through the Varbi recruitment system.


Want to make a difference? Join us and contribute to better health for all!

Type of employment Temporary position
Contract type Full time
First day of employment Upon agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-1489/2023
  • Mikael Lundqvist, Senior Researcher,
  • Lisa Rister, HR partner, 08-52483287,
Union representative
  • Venus Azhary, OFR, 0707-124127
  • Arsalan Amir, SACO, 0704831165
  • Henry Wölling, SEKO, 08-52484080
Published 06.Apr.2023
Last application date 25.May.2023 11:59 PM CEST

Return to job vacancies