2 Doctoral Positions (m/f/x) · for the Research Project (A02)

In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) 01.01.2027 pending funding approval, we are looking for 2

2 Doctoral Positions (m/f/x) for the Research Project (A02)

The Institute of Neuroinformatics is a research institute of the Faculty of Computer Science at the Ruhr University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Bochum is one of the centers of episodic memory research with a coherent framework developed within the DFG Research Unit 2812 "Constructing Scenarios of the Past" (https://for2812.rub.de/) combining psychology, neuroscience, philosophy and computational neuroscience.

In order to fill two fixed-term positions in part-time (29.87 hours/week = 75%) from the 1st of January 2027, pending funding approval, we are looking for 2 doctoral students in the research group of Professor Laurenz Wiskott. The research focuses on modeling generative episodic memory within a large, highly interdisciplinary research consortium in close collaboration with experimental partners. The methods used draw from neural network theory and machine learning.

• Scope: part-time
• Duration: fixed-term, 31.12.2030
• Start: 01.01.2027 pending funding approval
• Apply by: 2026-11-09

Your tasks:

• Contributing to the development of an integrated systems level model of generative episodic memory.
• Integrating this model with other aspects of cognition, such as planing and reasoning.
• Modeling experimental data.
• Communication with experimental partners.
• Publication of results.

Your profile:

• Very good Master degree in physics, mathematics, computer science, engineering, or a related field.
• Interest in interdisciplinary research in the area of neuroscience.
• Good programming and mathematical skills.
• Basic knowledge in machine learning.