Stellendetails zu: PhD Student (m/f/d) (TV-L 13, 75 %)
PhD Student (m/f/d) (TV-L 13, 75 %)
Kopfbereich
Besondere Merkmale
Arbeitsort
BochumAnstellungsart
Teilzeit (Vormittag, Nachmittag, Abend)Befristung
befristet für 36 MonateBeginn
ab sofortBerufsbezeichnung
- Wissenschaftliche/r Mitarbeiter/in
Stellenbeschreibung
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 a
PhD Student (m/f/d) (TV-L 13, 75 %)
The SFB 1280 studies the neural, behavioral, optogenetic, and clinical mechanisms of extinction learning in various species, including humans. In our project, we investigate the neural fundaments of extinction learning in pigeons. Recent findings identified violations of reward-predictions as the driving force of extinction learning and related relapse phenomena. To understand the underlying neural mechanisms and relationships within the extinction network, the applicant will record from the fronto- striatal circuity of the pigeon brain while the animals perform an appetitive extinction-learning task. In-vivo neurophysiological recordings combined with optogenetics and behavioral analyses will be the main approaches of this project. In our lab, we offer excellent scientific conditions and an extremely friendly and cooperative research environment. Further, its embeddedness in the CRC “Extinction learning“ guarantees that this project is associated with a highly cooperative team of research groups.
Scope: part-time
Duration: fixed-term, 3 Jahre
Start: at the earliest possible date
Apply by: 2026-05-11
Your tasks:
Techniques that will be relevant are MRI methods in pigeons and state-of-the-art neural data analysis.
Your profile:
We are looking for a highly skilled and enthusiastic PhD student (with a completed master’s degree) with a background in behavioral neurobiology and neural data science. A deep familiarity with our internal structures and ongoing SFB projects is appreciated. Candidate should be available immediately.
We expect to receive a well-prepared application.
https://jobs.ruhr-uni-bochum.de/jobposting/a9ef3328fb28246b59065eb83784f608cc7c91760?ref=AfA
Arbeitsorte
Unternehmensdarstellung: Ruhr-Universität Bochum
Ruhr-Universität Bochum
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