Praktika und Abschlussarbeiten


Computation and Cognition Tübingen Summer (CaCTüS) Internship

The Max Planck Institutes for Biological Cybernetics and Intelligent Systems offer up to 10 students at the Bachelor or Master level paid three-months internships during the summer of 2022. Successful applicants will work with top-level scientists on research projects spanning machine learning, electrical engineering, theoretical neuroscience, behavioral experiments and data analysis.

Application deadline: Jan 3, 2022

Eligibility: min 4 semesters enrolled in BSc studies

Background: computer science, mathematics, physics, engineering, psychology, cognitive science, neuroscience or any other related field


Hannah Nonnenberg

Visual and olfactory systems

The Department of Sensory and Sensorimotor Systems is open for students for internships and theses in their labs.

Research foci are visual and olfactory functions in the human and animal brain and their elicited behavioral responses, and other related topics in brain science. Research methods include visual psychophysics, zebrafish behavior and neuroscience, computational modeling, data analysis, human event related potential measurements, fMRI and eye tracking.

Eligibility: depending on requirements of individual training program

Required skills: depending on project


Li Zhaoping

Cognitive and neural mechanisms underlying learning and memory

The computational neuroscience group researches on the cognitive and neural mechanisms underlying learning and memory using computational methods. Topics for Bachelor/Master theses are available and the lab is open for collaborations, offering expertise on episodic memory, spatial navigation, hippocampus, neural networks, and reinforcement learning. The main language of communication is English.

Skills to be learned: reinforcement learning, neural networks, parallel computing

Required skills: programming


Sen Cheng


Directional information in hippocampal place cells populations

Hippocampal place cells not only decode the current position but also the running direction of an animal. The interconnectedness between those codes is less explored but of fundamental importance for the understanding of hippocampal function in navigation and memory processes. This project will apply and refine analysis tools for extracellularly recorded spiking data obtained during free foraging. Students will be exposed to classic methods and literature on hippocampal in-vivo physiology and state-of-the art machine learning methods.

Eligibility: Student must be enrolled at University of Freiburg

Required skills: Experience in Python and statistical methods

Background: Neurobiology


Bernstein Koordinationsstelle
Janina Radny