The Chair of Neuropsychology of the Faculty of Psychology is looking for a 

PhD student (m,w,d) till 30.06.2025 with 29,8725 hours per week (TVL E13)

The position is a part of project P8 (Modification of episodic memories due to integration with a self-model) of the DFG-funded research group FOR 2812 "Constructing scenarios of the past: A new framework in episodic memory". This group consists of researchers from psychology, computational neuroscience, and philosophy. More Information on the research group can be found at The overarching goal of project P8 is to investigate whether and how episodic memory depends on an integration with the self-model. We hypothesize that this integration process is impaired for memories that are incongruent with the self-model and elicit feelings of shame. We have therefore developed a novel experimental paradigm on shame and are now planning to conduct fMRI studies with this paradigm. We will use representational similarity analysis to track memory traces for specific episodes and investigate their modification due to self-incongruence.

We are seeking for a candidate with a background in psychology or cognitive neuroscience and experience with collecting and analysing fMRI data. The successful candidate will have both strong quantitative skills (e.g., programming and statistics) and interest in complex conceptual questions and inter-disciplinary interactions, in particular with philosophy of mind.

extent: part-time
duration: temporary
beginning: as soon as possible
time limit: 27.05.2022

The focus of your work will be:

  • the implementation of complex experimental paradigms using fMRI methods
  • analysis and interpretation of fMRI data.
  • Establishment of novel paradigms depending on virtual reality

Your profile:
This call for applications is primarily aimed at master’s graduates of psychology or cognitive neuroscience with the following profile:

  • Experience with conducting and analysing fMRI data
  • A keen interest in philosophy of mind
  • A high level of statistical knowledge and / or programming skills
  • Excellent knowledge of written and spoken English

Our offerings:

  • Challenging and varied tasks with a high degree of personal responsibility
  • Support from and cooperation with competent colleagues
  • Team-oriented cooperation in a committed, international and appreciative team
  • Possibilities of location-flexible work
  • A workplace in the countryside with direct access to the botanical garden of the Ruhr University Bochum

Additional information:

If the position is funded by third-party funds the employee has no teaching obligation.

Formal requirements are a qualified degree (diploma, master or equivalent) in psychology, cognitive science, natural sciences or computer science (master, diploma or comparable).

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:

Feel free to contact Prof. Nikolai Axmacher at for more information

 Prof. Nikolai Axmacher, Phone: +49234 32 28674

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process see:

We are looking forward to receiving your application with the specification ANR: 392 until 27.05.2022, send by e-mail to the following address:

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