2 Research associates (m/f/x) for 4 years with focus on "Generative Episodic Memory"

In order to fill a fixed-term position in part-time (29.87 hours/week = 75%) at the earliest possible date, we are looking for 2 2 Research associates (m/f/x) for 4 years with focus on "Generative Episodic Memory" The Institute for Neural Computation is a central research institute 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. The research focuses on (i) modeling generative episodic memory in close collaboration with experimental partners, with the goal of modeling experimental data and gaining a deeper understanding of memory processes; (ii) developing a hierarchical model of the visual system that supports a generative memory process. The first project will focus primarily on standard machine learning methods, such as Transformers. The second project aims to develop new methods inspired by the brain. Scope: part-time Duration: fixed-term, 4 Jahre Start: at the earliest possible date Apply by: 2026-09-14 Your tasks: - (i) Further development of an existing system model of generative episodic memory in light of various experimental results. - (ii) Development of a brain-inspired hierarchical model of the visual system that supports distributed generative memory processes. - Modeling of experimental data. - Communication with experimental partners. - Publication of results. - Teaching assistance equivalent to 3 SWS, in particular conducting a Python course and supervising student/Bachelor/Master projects. Your profile: Requirements: - Very good Master degree in 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. Advantageous: - Experience in modeling. - Experience in interdisciplinary projects. - Programming skills in Python. [https://jobs.ruhr-uni-bochum.de/jobposting/854eabcb1786fa8b53af20c255cd9aeadb5dfc4e0?ref=AfA](https://jobs.ruhr-uni-bochum.de/jobposting/854eabcb1786fa8b53af20c255cd9aeadb5dfc4e0?ref=AfA)