Ruhr-Universität Bochum
44801 Bochum - Deutschland
Mathematiker/in
Arbeit
Teilzeit Abend
ab 13.04.2026
Beschreibung
**In order to fill a fixed-term position in part-time (29.8725 hours/week = 75%) at the earliest possible date, we are looking for 1**
### PhD position (f/m/d) in Computational Neurology
The Computational Neurology group at Ruhr University Bochum (RUB), led by Prof. Dr. Xenia Kobeleva , investigates clinically relevant questions in neuropsychiatry and neurodegenerative diseases using advanced computational approaches, including machine learning, artificial intelligence, and brain modeling. The... weiter lesen
### PhD position (f/m/d) in Computational Neurology
The Computational Neurology group at Ruhr University Bochum (RUB), led by Prof. Dr. Xenia Kobeleva , investigates clinically relevant questions in neuropsychiatry and neurodegenerative diseases using advanced computational approaches, including machine learning, artificial intelligence, and brain modeling. The... weiter lesen
**In order to fill a fixed-term position in part-time (29.8725 hours/week = 75%) at the earliest possible date, we are looking for 1**
### PhD position (f/m/d) in Computational Neurology
The Computational Neurology group at Ruhr University Bochum (RUB), led by Prof. Dr. Xenia Kobeleva , investigates clinically relevant questions in neuropsychiatry and neurodegenerative diseases using advanced computational approaches, including machine learning, artificial intelligence, and brain modeling. The group is situated in the Institute for Neural Computation and is part of the Bernstein Node Bochum of the Science Hub Neuroscience . Our group works at the interface of clinical neuroscience (neurostimulation and neurodegenerative diseases) and computational neuroscience (whole-brain network neural modeling, parameter inference, control theory), with a strong focus on translational research that connects computational methods to real-world clinical data and patient-oriented questions. Our team is young, motivated, international, and genuinely interdisciplinary, bringing together expertise from medicine, neuroscience, psychology, and quantitative sciences. Besides a direct connection to clinical neurology, we are intensively collaborating with world-leading experts for mathematics and computer science.
Scope: part-time
Duration: fixed-term, 3 Jahre
Start: at the earliest possible date
Apply by: 2026-04-21
**Your tasks:**
- Preprocess large-scale neuroimaging data in patients with neurodegenerative diseases
- Apply network neural mass models to the resulting neuroimaging data
- Create advanced statistical models linking neuropsychology and neuroimaging data
- Apply control theory to the resulting models
- Create realistic neural mass models to simulate treatment effects
**Your profile:**
- You are genuinely curious and interested in exploring how the brain works and what can be done to fix it in case of disorders. You can solve problems in a creative way and like to define research gaps by looking across applied and theoretical research. You have experience in interaction both with experimental and theoretical scientists.
- We are looking for highly motivated candidates with a Master’s degree (or equivalent) in either 1) mathematics, physics, computer sciences, computational neurosciences and related fields and proof of previous experience in applied biomedical research, or 2) medicine, neuroscience, psychology, biology, with additional proof of a strong programming background (esp. Python) or knowledge about dynamical systems, thus candidates with interdisciplinary experience are highly encouraged to apply.
- Necessary prerequisites are prior experience in programming with Python, demonstrable interest in quantitative research (e.g., statistics or machine learning), strong analytical skills, ability for independent, creative and critical thinking, and excellent communication and writing skills in the English language. Prior experience with neuroimaging, neural networks, or computational neuroscience (esp. nonlinear dynamics) is advantageous. Also, German language skills are a plus but not a requirement.
[https://jobs.ruhr-uni-bochum.de/jobposting/68e3fa374d24ce7269e4f3824e3417bd864187f80?ref=AfA](https://jobs.ruhr-uni-bochum.de/jobposting/68e3fa374d24ce7269e4f3824e3417bd864187f80?ref=AfA)
### PhD position (f/m/d) in Computational Neurology
The Computational Neurology group at Ruhr University Bochum (RUB), led by Prof. Dr. Xenia Kobeleva , investigates clinically relevant questions in neuropsychiatry and neurodegenerative diseases using advanced computational approaches, including machine learning, artificial intelligence, and brain modeling. The group is situated in the Institute for Neural Computation and is part of the Bernstein Node Bochum of the Science Hub Neuroscience . Our group works at the interface of clinical neuroscience (neurostimulation and neurodegenerative diseases) and computational neuroscience (whole-brain network neural modeling, parameter inference, control theory), with a strong focus on translational research that connects computational methods to real-world clinical data and patient-oriented questions. Our team is young, motivated, international, and genuinely interdisciplinary, bringing together expertise from medicine, neuroscience, psychology, and quantitative sciences. Besides a direct connection to clinical neurology, we are intensively collaborating with world-leading experts for mathematics and computer science.
Scope: part-time
Duration: fixed-term, 3 Jahre
Start: at the earliest possible date
Apply by: 2026-04-21
**Your tasks:**
- Preprocess large-scale neuroimaging data in patients with neurodegenerative diseases
- Apply network neural mass models to the resulting neuroimaging data
- Create advanced statistical models linking neuropsychology and neuroimaging data
- Apply control theory to the resulting models
- Create realistic neural mass models to simulate treatment effects
**Your profile:**
- You are genuinely curious and interested in exploring how the brain works and what can be done to fix it in case of disorders. You can solve problems in a creative way and like to define research gaps by looking across applied and theoretical research. You have experience in interaction both with experimental and theoretical scientists.
- We are looking for highly motivated candidates with a Master’s degree (or equivalent) in either 1) mathematics, physics, computer sciences, computational neurosciences and related fields and proof of previous experience in applied biomedical research, or 2) medicine, neuroscience, psychology, biology, with additional proof of a strong programming background (esp. Python) or knowledge about dynamical systems, thus candidates with interdisciplinary experience are highly encouraged to apply.
- Necessary prerequisites are prior experience in programming with Python, demonstrable interest in quantitative research (e.g., statistics or machine learning), strong analytical skills, ability for independent, creative and critical thinking, and excellent communication and writing skills in the English language. Prior experience with neuroimaging, neural networks, or computational neuroscience (esp. nonlinear dynamics) is advantageous. Also, German language skills are a plus but not a requirement.
[https://jobs.ruhr-uni-bochum.de/jobposting/68e3fa374d24ce7269e4f3824e3417bd864187f80?ref=AfA](https://jobs.ruhr-uni-bochum.de/jobposting/68e3fa374d24ce7269e4f3824e3417bd864187f80?ref=AfA)
Ref-Nr.: 10362775
Aktualisiert:
17.04.2026
Quelle: Bundesagentur für Arbeit
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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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