Research Assistant/Associate (f/m/d) – Trajectory Planning AI-based trajectory planning for sustainable infrastructure

Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term for 2 years.
An extension to a total of at least 3 years as part of a doctoral program is planned. The goal is a total employment period of 5 years.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a full-time position.
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

With 47,000 students and 10,000 staff, RWTH Aachen University is one of Europe’s most prestigious technical universities. As part of RWTH Aachen, the Institute of Automotive Engineering conducts research into the complete vehicle, including its systems and their interactions. From the initial idea through innovative component and system concepts right through to vehicle prototypes, the Institute’s staff are shaping the vehicle of the future and, in collaboration with car manufacturers and suppliers, tackling current and significant challenges.

Connected and automated driving will play a decisive role in shaping the future of mobility. Within the Vehicle Intelligence & Automated Driving research area, the Institute brings together the necessary expertise – from conceptualisation through system and functional development to verification and validation – for the realisation of connected and automated vehicles and their functions. In doing so, equal consideration is given to all aspects of the interplay between sustainability, safety and the mobility experience. To this end, the research division researches and develops methods and tools for use both in simulation and in real vehicles. Thanks to its comprehensive research infrastructure, forward-looking research questions can be addressed efficiently and with substantive expertise, either in direct bilateral projects or within the framework of government-funded research. The latest methods of artificial intelligence play a major role in this, as they are capable of solving the complex challenges of automated and connected mobility with a high degree of reliability and in a way that is comprehensible to humans.

The research division boasts state-of-the-art infrastructure. Among other things, it has at its disposal research vehicles for use on public roads, in-house developed vehicle prototypes for implementing innovative research approaches, infrastructure test beds, scenario data points and a unique simulator centre. The latter comprises various simulator test benches, ranging from pedestrian and cyclist simulators and static driving simulators to a highly dynamic driving simulator – the only one of its kind freely available in Germany.

Ihr Profil

• Completed college degree (Master's degree or equivalent) in mechanical engineering, computer science, electrical engineering, robotics or a comparable discipline
• Sound knowledge of machine learning
• Knowledge of control engineering, optimization, reinforcement learning or motion planning is an advantage
• Programming skills in Python and/or C/C++
• Independent, reliable and systematic way of working
• Very good written and spoken English; very good German language skills are an advantage

Ihre Aufgaben

• You develop AI-based methods for trajectory planning that also account for the load placed on the infrastructure
• You couple vehicle-side planning with digital twins of the road and integrate infrastructure condition data into the planning process
• You evaluate your methods in simulation, in the high-dynamic driving simulator and in a real test vehicle
• You work closely with civil engineering and materials science within the DFG Collaborative Research Centre/Transregio 339
• You publish your results at international conferences and in scientific journals

Über uns

RWTH is proud to be certified as a family-friendly university. As part of our Campus Health initiative, RWTH offers a wide range of health, counseling, and prevention services, including university sports. Employees under collective bargaining agreements and civil servants also benefit from a comprehensive continuing education program and the option to purchase a job ticket for convenient commuting.
All University employees also have access to the Corporate Benefits online platform, which offers discounts on a wide range of products and services from participating companies.
RWTH is an equal opportunities employer. We welcome and encourage applications from all qualified candidates and make employment decisions without regard to national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is especially committed to supporting the advancement of women in academia. When women are underrepresented in a university unit, preferential consideration will be given to female applicants among candidates of equal merit and professional standing, unless compelling reasons favor another individual.
In keeping with RWTH’s commitment to equality of opportunity, we ask that you do not include a photo with your application.
Please refer to https://www.rwth-aachen.de/applicant-privacy-policy for information about how we collect and process applicant data in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR).

Besoldung / Entgelt

EG 13 TV-L