Academic Researcher (m/f/d) in the field of Software Engineering for Dependable in Clausthal-Zellerfeld

Clausthal University of Technology is a research-intensive university with strong national and international networks.

Its approximately 80 professors, 1,100 staff members, and 3,000 students benefit from short communication channels, a personal atmosphere, and the stunning landscape of the Harz Mountains, a UNESCO World Heritage Site.

As the region’s largest employer, Clausthal University of Technology is the most important economic driver and fosters cultural diversity and internationalism.

Clausthal University of Technology is fully committed to the overarching theme of the “circular economy” and aims to contribute to the development of a sustainable society in the digital age through research, teaching, and administration.

The research group Dendenable and Autonomous Cyber-physical Systems (DACS) at the Institute for Software and Systems Engineering (ISSE), Clausthal University of Technology (TU Clausthal), is seeking to fill a position as

Academic Researcher (m/f/d) in the field of Software Engineering for Dependable AI-Based Automated Driving Systems with Autoware

The position is full-time, remunerated according to the German TV-L scheme (up to grade E 13, contingent on applicant qualifications), and offered for an initial duration of 3 years.

A part-time employment is generally possible.

During the duration of the position, it is possible to strive for a Ph D.

With these positions, we invite YOU to join our team, which is working in close collaboration on the development of our real AI-based automated shuttle with ** Autoware-stack** for deployment on public roads, while researching and developing dependable automated driving systems based on software and systems engineering approaches.

The Institute for Software and Systems Engineering (ISSE) is one of the two computer science institutes at TU Clausthal, hosting several research groups.

For more information about the ISSE Institute, please visit our website: https://www. isse. tu-clausthal. de/.

• Area of responsibility
• Research and development in the field of software engineering for dependable and safe automated driving systems.
• Conception, design, and implementation of software architectures and prototypes in interdisciplinary projects.
• Development, testing, and evaluation of methods and software systems directly on our real test vehicles (see image) for automated driving.
• Application of modern software engineering approaches (e. g., agile methods, model-based development, CI/CD pipelines) in concrete research projects.
• Publication of research results at national and international conferences.
• Assistance in preparing lectures, supervising exercises, and mentoring students in our B. Sc. and M. Sc. programs.
• Employment requirements

The following are required

• Completed Master’s degree or diploma (with excellent to good results) in Computer Science, Software Engineering, Information Systems, or a related field.
• Strong knowledge of software engineering (e. g., software architecture, development processes, quality assurance).
• Very good programming skills (at least in Python and C++); ideally strong hands-on experience with ROS2.
• Experience in AI development, especially with neural networks.
• Experience with standard software development tools (Git, CI/CD, IDEs, issue tracking).
• Strong interest in academic research and willingness to pursue a Ph D.
• Independent, structured way of working, quick comprehension, and ability to adapt to new concepts.
• Excellent German language skills (at least C1) and good English skills, both written and spoken.
• A Category B driving license valid for driving in Germany.

Desirable qualifications

• Practical experience in one or more of the following areas: software testing, runtime monitoring, or development of automated driving systems - ideally with relevance to a current development and assurance processes.
• Knowledge of modern software development methods (e. g., Scrum, model-based development) and experience in modeling system structures and behaviors.
• Initial experience with scientific publications or project work in the development of complex software systems, particularly in the software architecture design.

What we offer

• A family-friendly, collegial working environment in dedicated teams as well as interdisciplinary and varied tasks.
• The opportunity not only to develop innovative software engineering approaches but also to practically test
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