Post-Doc✓ Accepting Applications

Ahmed El Hady

Konstanz, Germany

Position Details
Apply by Jun 15, 2026
Post-Doc
Konstanz, Germany

Application deadline

Jun 15, 2026

124 days left

Apply now

Job

Job location

Geocoding

Konstanz, Germany

Quick Information

Application Deadline

Jun 15, 2026

Start Date

Flexible

Education Required

See description

Experience Level

Job

Job location

Geocoding

Konstanz, Germany

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Job Description

We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics or engineering. The candidate should show enthusiasm for analysing large scale data sets that include but not limited to: behavioural, neural and physiological data. Experience with machine learning techniques and animal tracking software programs is preferred but not required. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The Postdoc will be working as part of a recently funded Human Sciences Frontiers Program (HSFP) research grant ‘”Neurometabolic mechanisms underlying social foraging” in collaboration with the experimental groups of Robert Froemke (New York University) and Jee Hyun Choi (Korean Institute of Science and Technology). The project aims to understand neuro-metabolic mechanisms underlying social foraging. The PostDoc will have the opportunity to travel to the experimental collaborators in New York and Seoul. The Integrative Biophysics group at the CASCB led by Dr. Ahmed El Hady is focused on theoretical and computational understanding of mechanisms underlying foraging. The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz.

Requirements

  • A doctoral degree in a quantitative field preferably but not limited to physics or engineering. Enthusiasm for analysing large scale data sets that include but not limited to: behavioural
  • neural and physiological data. Experience with machine learning techniques and animal tracking software programs is preferred but not required.

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