registration number: fb12-0003-wmz-2025

Entry date:

as soon as possible

Application deadline:

2025-03-23

Salary:

E 13 TV-H

Duration:

2027-09-30

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 Modeling and Learning”, Prof. Dr. Ralph Ewerth, is currently accepting applications for a

Research Assistant

The position is offered until 30th September 2027. The starting date is as soon as possible, subject to approval of funds. The position is fulltime with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13). The position has a focus on research software engineering and is part of the project „SportVid: A Portal for Supporting Search, Analysis and Evaluation of Videos in Sports and Training Science“, funded by the German Research Foundation (DFG) within the program „Scientific Library Services and Information Systems“ (LIS). The project focuses on developing innovative solutions for the analysis of and search in training and sports videos. The project is a collaboration with the German Sport University Cologne (DSHS) and the Central Library of Sports Sciences (ZBS).

Tasks:

implementation of state-of-the-art AI methods for video analysis (e. g. shot boundary detection, camera settings and movement detection), research and review current scientific literature
implementation of state-of-the-art AI methods for sports video analysis (e. g. pose detection, recognition of sport-specific actions, sports field registration)
implementation of current methods for search and retrieval of training and sports videos
integration of developed software components into the web-based video analysis platform SportVid
development of infrastructure, frontend and backend functionalities using modern web frameworks
preparation of / collaboration on scientific publications

This is a project position that is not limited according to

2, 1 WissZeitVG.

Profile:

MSc-degree or equivalent in a relevant field such as computer science, mathematics, or a comparable degree in a related discipline
strong programming skills, excellent knowledge of one or more modern programming languages (particularly Python, JavaScript), modern web technologies and databases
strong knowledge of machine learning methods (particularly deep learning), ideally in computer vision, alternatively natural language processing or information retrieval
experience with deep learning frameworks (PyTorch, TensorFlow)
experience with web application development
excellent command of written and spoken English

We actively support the professional development of junior researchers by the offers of Marburg Research Academy (MARA), the International Office and the Higher Education Didactics Office.

We offer:

outstanding career development opportunities, e. g. towards becoming a research software engineer, mentoring and support for planning your professional career
an excellent and dynamically evolving research environment in the Department of Mathematics and Computer Science, including three newly established AI professorships
connection to hessian.AI (Hessian Center for Artificial Intelligence) with exceptional collaboration opportunities and high-performance computing resources for training large-scale AI models
an excellent international and national research network (including connections to various institutes of the Leibniz Association and Fraunhofer Society) funding for conference participation
ticket for free use of public transport in the state Hesse, Germany

Contact for more Information

Prof. Dr. Ralph Ewerth

+49 6421-28 21585 (Secretary‘s Office)

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. Applicants with a disability as discribed in SGB IX (

2 Abs. 2, 3) will be preferred in case of equal qualifications. Application and interview costs can not be refunded.

Please apply by 23rd March 2025 using the application-button below.

Philipps-Universität Marburg

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