Do you want to contribute to top quality medical research?

At the Perceptual Neuroscience group, you will have the opportunity to work with successful researchers in a scientific field bridging neuroscience and psychology while attempting to understand how the human brain process smells. We are looking for a research specialist who can analyze complex data from a range of imaging methods and who likes to implement new methods. What we can offer is a large, active, and international research environment where you have the opportunity to conduct research at the highest international level in a successful and well-funded lab.

Your mission

As a research specialist in the research group, you will analyze imaging data acquired either using EEG (source/time-frequency analyses) or (f)MRI methods using both standard analyses methods as well as be expected to implement analyses pipelines for novel methods. You will analyze data for projects assigned to you as well as expected to provide assistance to other group members. You will work both independently on some projects but also as a group on larger projects in collaborations with international research groups as well as data scientists at the Royal Institute of Technology (KTH). As an example of a project you might be working on, read more here.

Your profile

We are looking for an individual that has an academic degree (masters or PhD) in an area of relevance to the position. You need to have a solid understanding of both signal analysis and inference statistics. The successful applicant will probably have prior experience with analyzing complex data, preferably acquired via neuroimaging methods (EEG/(f)MRI). Moreover, you will have one or several of the following desired qualifications: solid experience with programing related to signal or image processing; experience with EEG source analyses; experience with MVPA, RSA, or similar analyses methods on fMRI data; experience with network modelling of large scale neural data. We expect you to be able to work in an international research group where English is the working language and where it is OK to respectfully question results. The work involves close collaboration with others and demand flexibility and excellent communication skills.

What do we offer?

A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is a state university, which entitles to several benefits such as extended holiday and generous occupational pension. Employees also have access to our modern gym for free and receive reimbursements for medical care.

Location: Solna

Read more about Johan Lundström's research group.

Read more about the lab.


The application is to be submitted through the Varbi recruitment system. Your application should contain the following information:

  1. Personal letter where you explain why you are applying for the position, what your qualifications are, how much experience you have when it comes to imaging analyses (and with what methods), and a brief statement of what your expectations in regard to the position are (no more than two pages).
  2. A complete resumé (CV) where relevant experiences and training are listed.

Welcome to apply at the latest March 16, 2020.

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

Type of employment Temporary position longer than 6 months
Contract type Full time
Number of positions 1
Working hours 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number 2-876/2020
  • Julia Martinez Palm, HR Officer, 08-524 832 40,
  • Johan Lundström, Senior Lecturer ,
Union representative
  • Henry Wölling, SEKO, 08-524 840 80
  • Venus Azhary, OFR, 0707-124 127
  • Arsalan Amir, SACO, 08 - 517 733 37
Published 20.Feb.2020
Last application date 16.Mar.2020 11:59 PM CET

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