PhD candidate (m/f/d) in systems neuroscience

University Hospital Bonn Location Not Available

Stellenbeschreibung:

Organisation/Company University Hospital Bonn Department IEECR Research Field Neurosciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Germany Application Deadline 31 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The successful candidate will be embedded in a joint research effort between the labs of Prof. Tobias Ackels (Bonn) and Dr. Oliver Barnstedt (Göttingen). The project investigates how the hippocampus, particularly the CA1 region, integrates olfactory and spatial signals to support goal-directed navigation. Using dual-colour miniscope calcium imaging and advanced behavioural assays in freely moving mice, the project aims to dissect the dynamics and circuit mechanisms underlying conjunctive coding of multisensory information and their causal contributions to adaptive behaviour.

Where to apply

E-mail

Requirements

Research Field Neurosciences Education Level Master Degree or equivalent

Research Field Biological sciences Education Level Master Degree or equivalent

Research Field Physics Education Level Master Degree or equivalent

Research Field Engineering Education Level Master Degree or equivalent

Skills/Qualifications

  • Active participation in experimental design, execution, and analysis of hippocampal calcium imaging and behavioural studies
  • Implementation of optogenetic manipulations and multisensory behavioural tasks
  • Quantitative analysis of neural data, including information-theoretic decoding and trajectory mapping
  • Coordination between collaborating labs (Bonn, Göttingen) and regular participation in project meetings
  • Presentation of findings at national and international conferences; preparation of manuscripts for publication

Specific Requirements

  • Master’s degree in neuroscience, biology, physics, engineering, or a related field
  • Motivated, team-oriented, and flexible mindset driven by curiosity and ambition
  • Experience with in vivo neuroscience methods (imaging, electrophysiology) and mouse behavioural experiments is highly desirable
  • Strong quantitative skills; competency in Python, MATLAB, or similar platforms required
  • Interest in multisensory integration, spatial navigation, and sensory circuits
  • Excellent communication skills in English; willingness to work in an interdisciplinary and international environment

Benefits & Additional Information

  • Direct involvement in leading-edge research on neural coding and memory
  • Hands-on training in imaging, optogenetics, behavior, and computational analysis
  • Dual supervision and mentoring by two PIs with complementary expertise
  • A vibrant, international, and collaborative research environment spanning two top-tier neuroscience institutes
  • Affiliation with the Bonn International Graduate School of Neuroscience (BIGS)
  • Salary and benefits according to German TV-L (EG 13, 65%), pension plan (VBL), subsidized public transport, and on-campus childcare options

Selection process

Applicants should send their application in a single pdf file (max. 5 MB), including:

  • Cover letter outlining research interests and motivation
  • Curriculum vitae
  • Contact information for two academic references

Applications are reviewed on a rolling basis. Informal inquiries are welcome.

Application deadline:

Additional comments

Prof. Dr. Tobias Ackels
Sensory Dynamics and Behaviour
Institute of Experimental Epilepsy and Cognition Research
Universitätsklinikum Bonn
Venusberg-Campus 1
53127 Bonn
E-Mail:
Website:

#J-18808-Ljbffr
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    23 Jan 2026
  • Standort:

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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