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Faculty of Mathematics:
Chair of Mathematical Statistics 


In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for  2

Research assistant (m/f/x) one doctoral candidate and one postdoctoral researcher for a period of three years with 39.83 hours per week (TV-L E13)

The research group of Prof. Dr. Sophie Langer at the Faculty of Mathematics is seeking a motivated research associate to strengthen the team in the area of deep learning theory, with a particular focus on statistical questions. Our research focuses include, among others, the theoretical analysis of estimation methods using neural networks, the investigation of optimization algorithms, the modeling of complex prediction problems (e.g., image classification, natural language processing), as well as the statistical theory of reinforcement learning.

Scope: full-time
Duration: fixed-term, 3 Jahre
Start: at the earliest possible date
Apply by:
2025-09-30

Your tasks:

  • Active participation in research on the statistical theory of deep learning
  • Teaching responsibilities in the exercise sessions of courses offered by the Faculty of Mathematics

Your profile:

  • Applicants with a Master’s degree in Statistics or Mathematics and strong expertise in mathematical statistics are sought
  • Experience in conducting mathematics teaching tasks, especially with students from scientific, technical, and economic disciplines
  • Willingness for further academic qualification is offered and encouraged
  • For Postdoc applications: a completed doctorate or proof that the doctorate is imminent

We offer:

    Challenging and varied tasks with a high level of independence, Options for flexible working (mobile working and teleworking), A qualified on-boarding and induction process, Collaboration in a committed and appreciative team, Support in combining family life and work (including childcare arrangements/holiday offers/"mobile playroom")

    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 E13 TV-L.

    Further information can be found at https://oeffentlicher-dienst.info/ (in German).

    The place of work is Ruhr University Bochum.

    The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).



    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:

    Sophie Langer 0234/32-22337

    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 2025-09-30. Please make sure to mention the reference number ANR 4883.

    Online application