Internships
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
Contact
Program Coordination
Hannah Nonnenberg
cactus-internship@tuebingen.mpg.de
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
Contact
Head of the department
Li Zhaoping
zhaoping.li.admin@tuebingen.mpg.de
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
Contact
Group leader
Sen Cheng
sen.cheng@rub.de
Master theses
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
Contact
Bernstein Coordination Site
Janina Radny
j.radny@fz-juelich.de
