Post-DocApplications Closed

Vinita Samarasinghe

Ruhr University Bochum, Faculty of Computer Science, Institute for Neural Computation
Apply by Dec 31, 2023

Application deadline

Dec 31, 2023

Job

Job location

Vinita Samarasinghe

Geocoding

Ruhr University Bochum, Faculty of Computer Science, Institute for Neural Computation

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Dec 31, 2023

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Vinita Samarasinghe

Geocoding

Ruhr University Bochum, Faculty of Computer Science, Institute for Neural Computation

Geocoding in progress.

Source: legacy

Map

Job Description

The position is part of the Collaborative Research Center “Extinction Learning” (SFB 1280) and studies the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals.

Requirements

  • Candidates must have a doctorate degree in neuroscience
  • physics
  • mathematics
  • electrical/biomedical engineering or a closely related field
  • relevant experience in mathematical modeling
  • excellent programming skills (e.g.
  • Python
  • C/C++
  • Matlab)
  • excellent communication skills in English
  • the ability to work well in a team. Research experience in neuroscience would be a further asset.