School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH

Job description

We are recruiting a postdoctoral fellow, who will conduct research in the field of medical image processing targeting  high-dimensional brain imaging data.

Medical imaging modalities such as Magnetic Resonance Imaging (MRI) often produce complex image data in vector or tensor format, e.g. diffusion tensor MRI, functional MRI or MR elastography. For the computationally demanding post-processing of such data, we use modern machine learning techniques like convolutional neural networks, graph convolutional networks and reinforcement learning. This project will deal with developing, adapting and applying such techniques to imaging data from patients with neurodegenerative diseases, available to us thanks to our close cooperation with Karolinska Institute.

dBRAIN is an interdisciplinary initiative at KTH to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neuronal networks at multiple scales to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies.

As a postdoc you will independently develop such methods, resulting in scientific publications and presentations at international conferences.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Work in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH



  • A doctoral degree or an equivalent foreign degree, This eligibility requirement must be met no later than the time the employment decision is made.
  • The candidate must have a strong background in at least one of the following areas: medical image processing, neuroimaging including connectomics, machine learning or a similar subject.
  • Proficiency in English orally and in writing is required to present and publish research results.
  • Research expertise
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Collaborative abilities
  • Independence

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Strong research qualifications
  • Good programming skills, in particular with libraries used for deep learning
  • Good collaborative abilities as we work in a team
  • Experience of working in a cross-disciplinary setting
  • Have the ability to work independently
  • Good teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.


Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • No more than three examples of earlier scientific publications where you have been the main author.
  • Brief account of why you want to conduct research, your academic interests and how the relate to your previous studies and future goals (max 2 pages). 

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.


Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.


Type of employment Temporary position
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Flemingsberg
County Stockholms län
Country Sweden
Reference number C-2023-0387
  • Örjan Smedby, +46(8)7909620
  • Rodrigo Moreno, +46(8)7909787
Published 23.Feb.2023
Last application date 23.Mar.2023 11:59 PM CET

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