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ISCApad Archive  »  2025  »  ISCApad #322  »  Jobs  »  (2025-02-10) Post doc and Research engineers positions at University of Marburg, Germany

ISCApad #322

Monday, April 07, 2025 by Chris Wellekens

6-24 (2025-02-10) Post doc and Research engineers positions at University of Marburg, Germany
  

For my new research group “AI – Multimodal Modelling and Learning” at the University of Marburg (in collaboration with hessian.AI, the Hessian Center for Artificial Intelligence), I am seeking candidates for the position of a

 

1 Postdoc (max. 4+2 years)

2 Research Software Engineer (initially 2.5 years)

 

Position 1: Postdoc

(official job advertisement here: https://stellenangebote.uni-marburg.de/jobposting/283d40458a3570725bf80921a88ec09a44400883)

 

The position is offered for a period of 4 years (with the option for a 2-year extension upon successful evaluation), if no former times of qualification must be considered. The earliest starting date is April 1, 2025. The position is fulltime with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 100 %).

 

Your tasks:

- Research and development of novel AI methods in the topic areas listed below (see „Your qualification“)

- Publication of research results in high-ranked international venues (A*/A/Q1)

- Acquisition of third-party funds for research projects (both in contributing and independent roles)

- Co-supervision of students and PhD students

- Teaching (lectures and/or seminars)

- Optional: Setting up your own junior research group

 

Your qualification:

- Completed university degree (Diploma, Master‘s or equivalent) in Computer Science

- Very good doctorate or evidence of being in the final stages of doctoral completion

- Demonstrated expertise in one or more of the following areas: computer vision, machine learning, multimodal computing, information retrieval, human-centered AI, semantic web, visual analytics

- Optional expertise in one of the following application domains: social media and disinformation, technology-enhanced learning, learning analytics, cognitive science, medical informatics, digital humanities

- Publications in internationally renowned computer science venues in at least one of the above-mentioned areas

- Excellent programming skills in common programming languages (Python, Java, etc.), experience with machine learning libraries

- Experience in supervising student theses and collaboration in joint publications

 

 

Position 2: Research Software Engineer (with Master or PhD degree)

 

This position has a focus on research software engineering and is offered for a period of 2.5 years (until September 30, 2027), subject to approval of funds. It is a fulltime position with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 100 %).

 

The position 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).

 

Your 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

 

The position, subject to approval of funds, is temporary according to § 2, 2 WissZeitVG.

 

Your qualification:

- Completed university degree (Master‘s 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

 

 

What we offer (both positions)

- Oustanding career development opportunities, e.g. towards becoming a research software engineer, mentoring and support for planning your professional career, support with grant applications

- 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

- Hessian public transport ticket (Landesticket Hessen)

 

               

How to apply:

For position 1, please apply here: https://stellenangebote.uni-marburg.de/en/jobposting/283d40458a3570725bf80921a88ec09a444008830/apply

 

For position 2: Official application process is not available yet; if you would like to indicate your interest in the position, please send your CV to Prof. Ralph Ewerth (address below).

 

Contact

If you have any questions, please write to:

Prof. Dr. Ralph Ewerth

rewerth@informatik.uni-marburg.de

 

 


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