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We are looking for a Postdoc in Computational Neuroscience and Data-Analysis with a focus on the Basal Ganglia in health and disease.
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/
The specific project will entail modelling of biological neural networks (both reduced rate-models and data-driven biophysical models) and analysis of neural as well as clinical data. The selected candidate will work in close collaboration with other PIs in the consortium as well as with several other postdocs.
Read more about what it is like to work at KTH
Requirements
Preferred qualifications
It is also meritorious if the candidate also have demonstrated expertise (through publications) in any one of the following:
Great emphasis will be placed on personal competency.
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.
The application must include:
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 position offered is for, at the most, three 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.
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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 |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | J-2022-0918 |
Contact |
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Published | 08.Apr.2022 |
Last application date | 29.Apr.2022 11:59 PM CEST |