About the opportunity
This doctoral position is based at the Chair of Social Neuroscience within the Faculty of Medicine. As part of the Research Center One Health Ruhr, the successful candidate will explore neurobiological mechanisms of social processes using advanced neuroimaging methods like fMRI, fNIRS, and mobile EEG. The role involves conducting experimental studies on social interaction and episodic memory, analyzing behavioral and neuroimaging data, and contributing to the interdisciplinary CRC 1844 project. The position is fixed-term until the end of 2030 and offers a 75% part-time schedule (29.87 hours/week).
Salary and benefits
- Salaried position according to the TV-L E13 pay grade
- Intensive supervision and support throughout your doctoral qualification
- Integration into the interdisciplinary and international research environment of CRC 1844
- Funding and support for participation in national and international conferences, workshops, and research stays
- Access to state-of-the-art research facilities, including 3T fMRI, wireless fNIRS, and mobile EEG
- Training opportunities in neuroimaging, advanced statistical methods, programming, and open science
- Free German and English language courses for employees
- Family-friendly working conditions in the new THINK research building
Who can apply?
- A very good university degree (Master’s or equivalent) in psychology, cognitive neuroscience, neuroscience, or a related field
- Strong interest in social neuroscience, episodic memory, and neuroimaging
- Very good knowledge of research methods and statistics
- Very good command of written and spoken English
- High level of commitment, reliability, and ability to work independently as well as collaboratively
- Previous experience with fMRI or fNIRS is an advantage but not mandatory
- Programming and data-analysis skills (MATLAB, R, or Python) are an advantage but not mandatory
- Knowledge of German is an advantage but not mandatory
Required documents
- Cover letter
- Tabular curriculum vitae (CV)
- Certificates (e.g., employment references, degree certificates, training certificates)
- Reference number ANR 6193
When to apply
- Application deadline: October 26, 2026
- Expected start date: January 1, 2027
How to apply
- Prepare your application documents including cover letter, CV, and certificates
- Ensure the reference number ANR 6193 is clearly mentioned
- Submit your application through the official online application portal
Additional information
- The position is part-time at 75% (29.87 hours/week)
- The contract is fixed-term until December 31, 2030
- No teaching obligations if the position is funded by third-party funds
- Interview-related travel and accommodation costs are not reimbursed
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- You hold a Master's degree in neuroscience or psychology and have a clear research interest in social episodic memory
- You are looking for an interdisciplinary environment that bridges psychology, neuroscience, and philosophy
- You have a technical aptitude for neuroimaging methods like fMRI or fNIRS and programming in MATLAB or Python
What should you think carefully about?
- The position is part-time (75%), which is reflected in the salary level
- The role is fixed-term until the end of 2030, tied to the project duration
- While English is widely used, you will need to be willing to learn or use German in a campus environment
How could this fit your current goals and plans?
This position is ideal for candidates aiming to complete a PhD while gaining expertise in cutting-edge neuroimaging and computational methods. It offers a structured research path within a large-scale collaborative project (CRC 1844), providing excellent networking opportunities and professional development in an international academic setting.
Our take
Seriously consider this role if you are a motivated researcher seeking a funded PhD in social neuroscience within a high-tech German university. It may be less suitable for those requiring a full-time (100%) salary or those not interested in a research-intensive academic career.
Ready to apply?
Review the opportunity on the official website before applying.
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