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Postdoc Job in Computational Neuroscience and Data-Analysis at KTH, Sweden 2022

Sweden

Postdoc Job in Computational Neuroscience and Data-Analysis is available for doctoral degree candidates in Computational neuroscience, Computer Science, Physics at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden 2022

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General Info

Position: Postdoc
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Subject to Norms
Salary: According to standard norms

Workplace:
School of Electrical Engineering and Computer Science

KTH Royal Institute of Technology, Sweden

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Qualification Details

  • A doctoral degree or an equivalent foreign degree, This eligibility requirement must be met no later than the time the employment decision is made.
  • We are looking for candidates with a PhD in any of the following disciplines: Computational neuroscience, Computer Science, Physics or similar

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Research expertise
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Collaborative abilities
  • Independence

It is also meritorious if the candidate also have demonstrated expertise (through publications) in any one of the following:

  • Modelling and analysis of the dynamics of biological neural networks (with spiking or firing rate-based neuron models)
  • Experience in analysis of multi-dimensional and multi-scale data e.g. neural activity or neuronal protein data
  • Modelling of biophysically and morphologically detailed neurons and synaps
  • Previous experience in analysis and modelling of neural activity data is desirable but not essential.

Great emphasis will be placed on personal competency.

Responsibilities/Job Description

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.

How to Apply?

Application Method: Online Application
Ref. No.: J-2022-0918

Application Procedure

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.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.
  • Contact details of two academic referees.

About the Employer:

Note or Other details

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.

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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