Ruhr-Universität Bochum
44801 Bochum - Deutschland
Wissenschaftliche/r Mitarbeiter/in
Arbeit
Teilzeit Abend
ab 04.02.2026
Beschreibung
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) ... weiter lesen
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) ... weiter lesen
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
[https://jobs.ruhr-uni-bochum.de/jobposting/ecf1979f87372b0a4c211145ddc440d99eba93130?ref=AfA](https://jobs.ruhr-uni-bochum.de/jobposting/ecf1979f87372b0a4c211145ddc440d99eba93130?ref=AfA)
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
[https://jobs.ruhr-uni-bochum.de/jobposting/ecf1979f87372b0a4c211145ddc440d99eba93130?ref=AfA](https://jobs.ruhr-uni-bochum.de/jobposting/ecf1979f87372b0a4c211145ddc440d99eba93130?ref=AfA)
Ref-Nr.: 9125685
Aktualisiert:
04.02.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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Ruhr-Universität Bochum
44801 Bochum
Arbeit
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