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

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

• Vertragsarten: Vollzeit,Teilzeit

• 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 them directly on real test vehicles – from first simulation to real\-world driving.


• An innovative working environment with modern laboratories and simulation environments, as well as direct access to a real automated shuttle used as a test platform for research and development.


• The opportunity to directly apply and evaluate your results in industrial projects.


• The opportunity to pursue a doctorate (PhD) in cooperation with national and international research partners and industry.


• Lounge area, group activities, and team events


• Compensation in accordance with the collective bargaining agreement for state government employees (TV\-L), as well as an annual bonus at the end of the year under the TV\-L and a separate supplementary pension plan (VBL), 30 days of vacation, and time off on Christmas Eve and New Year’s Eve


• A varied and challenging role in the dynamic environment of a university


• Work\-life balance through flexible work arrangements, part\-time options, and remote work within the scope of institutional possibilities


• Employee health management programs, university sports programs, and corporate benefits


• Future\-oriented development and training opportunities


• The opportunity to actively contribute to the further development of our university

• 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.

\+\+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 PhD.


• 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.

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