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Researcher - computer graphics

Siegen
Universität Siegen
Inserat online seit: 15 September
Beschreibung

Area: Faculty IV: School of Science and Technology | Job scope: full-time | Duration of employment: limited | Posting-ID: 6761

The University of Siegen is a modern university with an international orientation and a focus on interdisciplinary research. It currently has around 14,000 students and covers a range of research fields from the humanities, social and economic sciences to natural sciences, engineering and life sciences. With over 2,000 employees, the university is one of the largest employers in the region and offers a unique environment for teaching, study, research and knowledge transfer.

We seek:

In Faculty IV – Faculty of Sciences and Engineering, Department of Electrical Engineering & Computer Science ET-I, Chair of Computer Graphics and Multimedia Systems, we are looking for a research assistant to start on November 1, 2025, under the following conditions:

1. Working hours: 100% position
2. Pay grade 13 TV-L
3. Fixed-term contract until December 31, 2028

Your tasks:

The Chair of Computer Graphics and Multimedia Systems researches methods for processing, merging, and representing real-world scenes using data-driven (machine learning) and model-driven techniques. As part of the DFG research project “Progressive, Spatio-Temporal Consistent Inline Activity Reconstruction and Recognition,” a doctoral position is available with the following responsibilities.

4. Further development and implementation of efficient methods for the representation and fusion of RGB-D, eye-tracking, and IMU sensor data
5. Development of novel methods for the annotation and visually supported analysis of activities and activity sequences, ideally online
6. Evaluation of the developed methods using synthetic and real sensor and scene data

Supervision of student work (bachelor's, master's, project work) within the scope of the project

Your profile:

7. Scientific university degree (master's degree or comparable) in computer science
8. Very good knowledge in computer graphics, programming, good knowledge in model-based and neural 3D scene representation and machine learning
9. Commitment coupled with the ability to work in a team as well as communicative and organizational skills
10. very good knowledge of English

Our range of services:

11. Promotion of own scientific or artistic qualification according to the Wissenschaftszeitvertragsgesetz [act on temporary employment in higher education] (e.g. habilitation)
12. Diverse opportunities to take on responsibility and make a visible contribution in the research and teaching environment
13. A modern understanding of leadership and collaboration
14. Good work-life balance, for example, through flexible working hours and work location, as well as support with child care
15. Extensive personnel development program
16. Health management with a wide range of prevention and counseling services

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