Researcher - Computer Graphics

University of Siegen; Deutschland; On-site; EUR 45,000 - 60,000; Full time

Job summary

The University of Siegen invites applications for a Doctoral Researcher position in ET-I / Computer Graphics within Faculty IV: School of Science and Technology. The contract covers 39.83 hours per week (TV-L pay grade 13) and is limited until 31.12.2029, with a teaching load of 0.5–1.5 SWS over the years.

You will develop differentiable simulation models for industrial inspection, study material properties and acquisition conditions, optimize sensor parameters, and evaluate methods with real

Qualifications

• A university degree (master’s degree or equivalent) in computer science or a related discipline.
• Very good programming skills and good knowledge of computer graphics and/or computer vision, as well as mathematical modelling.
• Experience with physics-based or differentiable simulation, numerical optimization, or machine learning is an advantage.
• Interest in independent research and collaboration with industrial application partners.
• Ability to work in a team, with good communication and organizational skills.
• Very good English skills.
• Proficiency in German or a willingness to learn German.

Responsibilities

• Develop and implement differentiable simulation models to generate synthetic sensor and camera data for industrial inspection
• Investigate how material properties, defects, and acquisition conditions affect the performance and robustness of quality assurance methods
• Develop methods for task-driven optimization of sensor parameters and data acquisition methods, potentially including sampling and compression approaches
• Evaluate the developed methods using suitable production scenarios and real sensor data in collaboration with the project partners
• Publish research results, prepare open reference implementations for training and knowledge transfer, and supervise student theses and projects within the scope of the project
• Teaching obligation: 0,5 SWS in 2027, 1 SWS in 2028, 1,5 SWS in 2029

Skills

Programming

Computer graphics

Computer vision

Mathematical modelling

English

German language

Education

Master's degree in CS

Job description

Organisation/Company Universität Siegen Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Application Deadline 25 Nov 2026 - 22:59 (UTC) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 39.83 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Area: Faculty IV: School of Science and Technology | Job scope: full-time| Duration of employment: limited | Posting-ID: 7205

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 the Faculty IV: School of Science and Technology, ET-I / Computergraphik, we are looking for a researcher as of the next possible date at the following conditions:

• 100% = 39,83 hours
• Pay grade 13 TV-L
• limited by 31.12.2029

The Chair of Computer Graphics and Multimedia Systems investigates data-driven and model-based methods for processing, simulating, and representing sensor, camera, and scene data. In research project “Enablement & Governance for Model-Driven Data Preparation (wAIve)”, we develop novel methods for sensor-based inspection and quality assurance in industrial production. We are seeking a doctoral researcher to contribute to the project through the following tasks:

• Develop and implement differentiable simulation models to generate synthetic sensor and camera data for industrial inspection
• Investigate how material properties, defects, and acquisition conditions affect the performance and robustness of quality assurance methods
• Develop methods for task-driven optimization of sensor parameters and data acquisition methods, potentially including sampling and compression approaches
• Evaluate the developed methods using suitable production scenarios and real sensor data in collaboration with the project partners
• Publish research results, prepare open reference implementations for training and knowledge transfer, and supervise student theses and projects within the scope of the project
• Teaching obligation: 0,5 SWS in 2027, 1 SWS in 2028, 1,5 SWS in 2029

Your profile:

• A university degree (master’s degree or equivalent) in computer science or a related discipline
• Very good programming skills and good knowledge of computer graphics and/or computer vision, as well as mathematical modelling
• Experience with physics-based or differentiable simulation, numerical optimization, or machine learning is an advantage
• Interest in independent research and collaboration with industrial application partners
• Ability to work in a team, with good communication and organizational skills
• Very good English skills
• Proficiency in German or a willingness to learn German

Our range of services:

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

Equal opportunities and diversity are promoted and embodied at the University of Siegen. The advertisement is explicitly addressed to people of all genders; applications from women will be given special consideration in accordance with the State Equal Opportunities Act. We also welcome applications from people with different personal, social, and cultural backgrounds, people with severe disabilities, and people of equal status.