Doctoral Position (m,f,x) in Computational Neuroscience (Project A07)

In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) from 01.01.2027, pending funding approvel, we are looking for 1

Doctoral Position (m,f,x) in Computational Neuroscience (Project A07)

Are you curious about how the human brain stores and retrieves memories? Do you want to know how this ability develops in children? The Collaborative Research Center “Episodic Memory” (CRC 1844) is an interdisciplinary consortium consisting of researchers from psychology, computational neuroscience, philosophy and neuroscience. The basis for our research is the Scenario Construction Framework which conceptualizes scenarios as mental simulations of past episodes, constructed from episodic memory traces and semantic information.

We are actively seeking a talented PhD student who will work on computational models of the development of episodic memory, in an interdisciplinary setting in close collaboration with experimental groups in psychology and neuroscience. The modeling project will use techniques from modern artificial neural networks and deep reinforcement learning.

• Scope: part-time
• Duration: fixed-term, until 31.12.2030 (end of project)
• Start: from 01.01.2027, pending funding approvel
• Apply by: 2026-11-02

Your tasks:

• Develop and investigate computational models of the development of episodic memory
• Conducting simulations of experimental tasks and interpreting the results
• Engage in interdisciplinary collaborations with experimental and computational neuroscientists, psychologists, and philosophers
• Present your results and findings in international conferences and scientific journals

Your profile:

• An excellent master’s degree, or equivalent, in computational neuroscience, physics, mathematics, computer science, or a related field
• Ability to work independently
• Competence in mathematical modelling and statistical analysis
• Excellent programming skills, e.g., Python
• Relevant research experience in neuroscience or a related field
• Excellent communication skills in English
• Team spirit
• Motivation to work in an interdisciplinary setting