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Universität Marburg

Universität Marburg
Vollzeit, Befristet
Marburg
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registration number:
fb12-0020-wmz-2026

Entry date: as soon as possible

Application deadline: 2026-09-13

Salary: E 13 TV-H

Duration:
4 years

Volume of employment: fulltime

The University of Marburg, founded in 1527, offers a variety of excellent programs of study for around 22,000 students and confronts the important topics of our time through excellent research across a broad spectrum of sciences.

The Department of Mathematics and Computer Science, research group Artificial Intelligence – Multimodal Modelling and Machine Learning (M3L), Professor Ralph Ewerth, invites applications for the position as

Postdoctoral Researcher with a goal of becoming eligible for a professorship

The position is to be filled at the earliest possible date; it is a fixed-term post for four years, with the option of a two-year extension following a successful evaluation, provided that no prior periods of qualification are to be taken into account. It is a fulltime position with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13).

Tasks:

  • Scientific services in research and teaching
  • Research and development of new AI methods in the subject areas listed under ‘Profile’
  • Publication of research findings in high-impact international journals (A*/A/Q1)
  • Securing external funding for research and development projects (both as a collaborator and independently)
  • Co-supervision of PhD students
  • Optional: Establishment of an independent early-career research group

The position is limited to the period which is adequate to the duration of the qualification period. The qualification goal is a habilitation or an equivalent qualification required for a professorship. Within the scope of the assigned duties it will offer the possibility of independent scientific research for further qualification. The limitation complies to Section 2(1) of the German Academic Fixed-Term Contract Act (WissZeitVG).

Profile:

  • MSc-degree or equivalent in Computer Science or a related subject with a very good grade, and a very good PhD in Computer Science
  • Proven expertise in one or two of the following areas: computer vision, machine learning, deep learning, vision-language models, AutoML, human-centred AI
  • Proven expertise in one or two of the following AI application areas are an advantage: digital humanities, biodiversity, engineering/materials science, medicine
  • Publications in international interdisciplinary forums or international computer science forums in at least one of the above-mentioned areas
  • Very good programming skills in common programming languages (Python, Java, etc.), experience with software libraries for training machine learning algorithms
  • Extensive experience in teaching, supervising practical sessions, seminars, student theses, etc.

Disposition to own scientific qualification is expected.

We offer:

  • Outstanding opportunities to develop your research profile, support with your own applications for third-party funding, mentoring and support in planning your future academic career
  • an excellent, dynamically evolving research environment within the Department of Mathematics and Computer Science, including three newly established AI professorships
  • Links to hessian.AI (Hessian Centre for Artificial Intelligence) with excellent opportunities for collaboration, as well as high-performance hardware for training larger AI models
  • An excellent international and national research network (including contacts with various institutes of the Leibniz Association and the Fraunhofer Society)
  • Funding for conference attendance
  • Ticket or free use of public transport in state Hesse, Germany (Landesticket)

Contact for more Information Professor Ralph Ewerth

+49 6421-28 21585 (Secretary)

rewerth@informatik.uni-marburg.de

We support women and strongly encourage them to apply. In areas where women are underrepresented, female applicants will be preferred in case of equal qualifications. As a certified family-friendly university, we support our employees in balancing family and career. A reduction of working time is possible. as discribed in the Social Security Code (Section 2(2) and (3) of Book IX of the Social Security Code (SGB IX)) will be preferred in case of equal qualifications. Application and interview costs can not be refunded.

Please apply by 13 September 2026 using the application-button below. Please make sure that your application documents are complete (i.e. cover letter, CV, certificates and transcripts relating to higher education qualifications, and, where applicable, employment references).