Faculty of Medicine :
Neurotechnology
In order to fill a fixed-term position in part-time (25.8895 hours/week = 65%) at the earliest possible date, we are looking for 1
Neural Data Privacy and Decoding SecurityResearch associates (m/f/d)
The KlaesLab (Medical Faculty, Department of Neurotechnology) at the Ruhr University Bochum invites applications for a PhD position (65%, TV-L E13) within the research project BrainGuard – Neuro-Cybersecurity for Neural Data and Devices.
Neurotechnologies such as Brain-Computer Interfaces (BCIs) enable direct interaction between the brain and digital systems. At the same time, they raise fundamental questions regarding data privacy, unintended information leakage, and mental autonomy. This PhD project focuses on understanding which sensitive information can be decoded from neural signals and how such risks can be systematically assessed and mitigated.
| Scope: | part-time |
| Duration: | fixed-term,
36 Monate |
| Start: | at the earliest possible date |
| Apply by: |
2026-02-23 |
Your tasks:
- Development and evaluation of machine-learning–based neural decoders (EEG, ECoG, fMRI)
- Identification of sensitive information (e.g. cognitive states, affective markers) unintentionally extractable from neural data
- Simulation and analysis of privacy and security risks related to neural decoding
- Contribution to countermeasures for limiting unintended information extraction
- Experimental design, data analysis, and scientific publication
Your profile:
- Master’s degree in Neuroscience, Biomedical Engineering, Computer Science, Cognitive Science, or a related field
- Strong interest in neural data analysis, machine learning, and data privacy
- Experience with Python and common ML frameworks is highly desirable
- Motivation to work in an interdisciplinary research environment
We offer:
- A stimulating, interdisciplinary research environment
- Close collaboration with experts in cybersecurity, cryptography, and embedded systems
- Excellent conditions for scientific qualification and international visibility
Further information:
The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade TV-L E13 TV-L.
Further information can be found at https://oeffentlicher-dienst.info/ (in German).
The place of work is Ruhr University Bochum.If the position is funded by third-party funds the employee has no teaching obligation.
RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees.
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 Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.
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 Ruhr-Universität Bochum’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 persons for further information:
Prof. Dr. Christian Klaes
, Tel.: +49 234 32 19220
Dr. Artur Pilacinski
Tel.: +49 32 19222
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2026-02-23. Please make sure to mention the reference number ANR 5362.
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