The Chair of Computational Neuroscience/Institute for Neural Computation at the Faculty of Computer Science is looking for a
Doctoral Position (m,f,x) for 3 years with 25,8895 hours per week, TV-L E13
The research group is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals (https://rub.de/cns).
| extent: | part-time |
| duration: | temporary |
| beginning: | 01.09.2024 |
| application deadline: | 31.05.2024 |
Your tasks:
Your tasks:
- Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a talented graduate student to join our team, someone who will expand our computational modeling framework CobeL-spike (https://doi.org/10.1007/s00429-023-02637-8) and use it to study how spiking neural networks can learn to navigate.
Your profile: Candidates must
- have a masters degree in neuroscience, physics, computer science, mathematics, psychology, or a related field
- be able to work independently
- have experience in computational modeling
- have good programming skills
- have good communication skills in English, and
- work well in a team.
Our offerings:
- challenging and varied tasks with a high level of personal responsibility
- support from and cooperation with competent colleagues
- team-oriented cooperation in a committed, international and appreciative team
- support in balancing family and career/academia (e.g. childcare arrangements, vacation offers, mobile nursery)
- extensive training and further education opportunities
Additional information:
At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. https://www.wpr.ruhr-uni-bochum.de/
If the position is funded by third-party funds the employee has no teaching obligation.
German language courses are offered by the University Language Center (ZfA) in the field of German as a Foreign Language (DaF).
https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact details for your application:
Vinita Samarasinghe, Phone: +49234 32 27996
Ramona Uehara, Phone: +49234 32 28084
Travel expenses for interviews cannot be refunded.
For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.
We are looking forward to receiving your application with the specification ANR: 2920 until 31/05/2024, send by e-mail to the following address: samarasinghe@ini.rub.de
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