Post Doc in Computational Neuroscience

Royal Institute of Technology School of Electrical Engineering and Computer Science

Postdoc in Computational Neuroscience within dBrain Digital Futures project

School of Electrical Engineering and Computer Science at KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Job description

dBRAIN is an interdisciplinary initiative 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 neural 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. More information about dBRAIN https://www.digitalfutures.kth.se/research/current-research-projects/dbrain/

There are up to three postdoctoral researcher positions available within dBRAIN.The individual projects will entail modelling of biological neural networks (both reduced rate-models and data-driven biophysical models) and analysis of neural data. Each selected candidate will work in close collaboration with other PIs in the consortium.

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
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).We are looking for candidates with a PhD in any of the following disciplines: Computational neuroscience, Computer Science, Physics or similar.

Preferred qualifications

Knowledge and skills that are meritorious for the position:

  • Previous experience in analysis and modelling of neural activity data.
  • Research expertise
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Collaborative abilities
  • Independence

Great emphasis will be placed on personal competency

Trade union representatives

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

Application

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).

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.

Others

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.

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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 longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 3
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2021-0784
Contact
Jeanette Hällgren Kotaleski, Professor, jeanette@csc.kth.se
Natasha Kapama, HR, kapama@kth.se
Published 22.Mar.2021
Last application date 30.Apr.2021 11:59 PM CET