Post-DocApplications Closed

Jaroslav Hlinka

Institute of Computer Science, Prague, Czech Republic
Apply by Sep 26, 2025

Application deadline

Sep 26, 2025

Job

Job location

Jaroslav Hlinka

Geocoding

Institute of Computer Science, Prague, Czech Republic

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Sep 26, 2025

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Jaroslav Hlinka

Geocoding

Institute of Computer Science, Prague, Czech Republic

Geocoding in progress.

Source: legacy

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Job Description

Several postdoctoral positions are available in the Complex Networks and Brain Dynamics group (COBRA) at the Institute of Computer Science, Prague (Czech Republic). These positions are part of a larger, interdisciplinary consortium that was recently recommended for funding (OPJAK BRADY). The project topics include: Topic 1: Detailed biophysical modelling of neurotransmitter action (supervised by Pavel Sanda). Topic 2: Computationally efficient mean-field models of cortical microcircuits (supervised by Helmut Schmidt). Topic 3: Whole-brain dynamics with applications particularly to schizophrenia and Parkinson's disease (supervised by Gustavo Deco). Topic 4: Data-driven model inversion and personalized parameter identification (supervised by Nikola Jajcay). Topic 5: Modelling interventions into arousal dynamics (supervised by Jaroslav Hlinka). Other related topics may be considered based on their fit to the overall project.

Requirements

  • Applicants should: Hold a PhD
  • up to 7 years from PhD defense at the start of employment. Have a strong background in the fields related to computational neuroscience - mathematical
  • statistical skills
  • experience with data analysis
  • machine learning
  • computer programming (the exact combination depends on the particular topic
  • see above). Be fluent in English. We seek curious
  • self-motivated
  • hard-working
  • team-spirited researchers. Prior experience with time series and network analysis is advantageous
  • but not required.