Research Assistant, PhD , Postdoctoral Researcher; m/f/d
Deutschland
Verfasst am 2026-01-30
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Forschung/Entwicklung
Datenwissenschaftler, Forschungswissenschaftler, Akademisch, Postdoktoranden-Forschung
Research Assistant, PhD Candidate, Postdoctoral Researcher (m/f/d), Chair of Econometrics and Statistics (520K), TV-L E13, 75 %
The Chair of Econometrics and Statistics (520K) is seeking to fill a part-time position starting 01.03.2026 or later:
Research Assistant, PhD Candidate, Postdoctoral Researcher (m/f/d) for 3 years, E13 TV-L, 75 %. We offer a position that provides opportunities for further academic qualification (e.g., a PhD) and methodological and didactic training. The position is initially limited to three years. The specific contract duration depends on your individual qualifications and academic goals.
- Active participation in the chair’s research projects, as well as the independent development of own research ideas
- Presentation of research results at national and international conferences and publication in internationally recognized academic Journals
- Preparation and teaching of tutorial sessions, as well as their further development
- Contribution to administrative duties at the chair, including the supervision of students and thesis projects
You can expect an interesting and responsible position with significant scope for shaping your work, offering insights into the diverse tasks and developments of the research process as well as a pleasant working environment and the possibility of partial remote work.
In addition, regular opportunities arise to expand employment scope through participation in third-party-funded research projects.
YOUR PROFILE- Completed Master’s degree in Economics, Statistics, or Data Science (or a closely related field) with above‑average results, or close to completion; alternatively, a completed or nearly completed PhD in a relevant field
- Strong interest in academic research combined with excellent knowledge of statistics and econometrics, as well as modern methods of statistical / machine learning, preferably applied to financial market data
- Advanced programming skills in R and/or Python
- Ideally, some initial experience in teaching
- High level of commitment and reliability, with the ability to work independently
- Ability to convincingly present academic research results
- Very good command of English and, ideally, German, as well as the willingness to further develop language skills if necessary
- Top 10 most attractive employers in the region
- Lively and innovative working environment on a green campus with short distances
- Flexible working hours and mobile working
- Versatile training and further education and modern personnel and organisational development
The University of Hohenheim promotes equal opportunities and diversity. We value your knowledge, skills, and strengths regardless of age, gender, origin, or religion. People with severe disabilities and those of equal status are particularly encouraged to apply and will be given preferential consideration if they are essentially equally qualified.
We look forward to receiving your application, which you should submit only via our online portal by 27.02.2026. If you have any questions, please contact e
Please attach the following documents to your application:
Letter of motivation, CV, transcript of grades
The University of Hohenheim accepts applications via a secure internet site. To the application
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