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Postdoc Job in Machine learning, dBRAIN Project – KTH, Sweden, Nov 2021

KTH Royal Institute of Technology

Sweden

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Nov 1, 2021 23:59 (GMT +2)

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Postdoc Job in Machine learning applied to brain activity data is available at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology – Sweden, Nov 2021

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General Info

Position: Postdoc
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: November 1, 2021(GMT +2)
Joining Date: -
Contract Period: 2 Years
Salary: According to Standard Norms

Workplace:
-
School of Electrical Engineering and Computer Science
KTH Royal Institute of Technology
Stockholm,

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Qualification Details

  • 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: Machine Learning, Computational Neuroscience, Computer Science, Physics or similar.
  • Previous experience in machine learning analysis of data is essential.
  • Ability to collaborate and communicate with the members of the consortium is essential.

Preferred qualifications

Knowledge and skills that are meritorious for the position:

  • Research expertise
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Collaborative abilities
  • Independence
  • Previous experience in dynamic modeling of neural activity is desirable

The preferred candidates should also have demonstrated expertise (through publications) in any one of the following

  • Expertise in analysis of multi-dimensional and multi-scale temporal data e.g. neural activity or neuronal protein data
  • Dynamic modelling of biophysically and morphologically detailed neurons and synapses

Great emphasis will be placed on personal competency.

Responsibilities/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/

The project will entail analysis of neural data. We are currently analyzing data from Parkinson’s patients (eye-tracking, MEG) and extracting features to be used for disease diagnostics and prediction. The candidate will work in close collaboration with other postdocs and PIs in the consortium.

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -J-2021-2273
(If any, use it in the necessary place)

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Documents Required

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas.
  • Brief summary of previous work. (Max 2 A4 pages in legible font size).
  • A statement of why you are interested in and suitable for this position (Max 2 A4 pages in legible font size).
  • Contact details of two academic referees.
  • Information of when you would be able to start the employment.

About the Employer: KTH Royal Institute of Technology

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Contact details

  • Erik Fransén, Professor, erikf@kth.se
  • Natasha Kapama, HR, kapama@kth.se

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