瑞典皇家理工学院计算神经科学博士后职位

瑞典皇家理工学院计算神经科学博士后职位

Postdoc In Computational Neuroscience Within DBrain Digital Futures Project

Royal Institute Of Technology

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