Research Associate (f/m/d) - Postdoctoral Researcher in the field of computer vision and AI for traffic safety and intelligent 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 initially for 3 years.
An extension is possible.
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 with the possibility of a part-time contract upon request.
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

At the Institute for Highway Engineering Aachen, RWTH Aachen University, we develop solutions for safer, more efficient, and more intelligent road infrastructure. Our work combines traffic safety, sensing, and digitalisation.

This position focuses on computer vision and artificial intelligence for the analysis of traffic and infrastructure from camera and multimodal sensor data. Using video, thermal imaging, and other sensor systems, we study vehicles, pedestrians, cyclists, trajectories, interactions, and safety-related events. The aim is to turn complex sensor data into engineering knowledge for traffic safety assessment, infrastructure monitoring, and digital road systems.

Ihr Profil

Applicants should hold a doctoral degree in computer science, electrical engineering, robotics, transport engineering, or a related field.

We are looking for candidates with strong programming and methodological skills, who are able to develop their own solutions rather than rely mainly on existing software packages. Strong hands-on programming experience, for example in Python, C++, or similar languages, is essential.

Experience in computer vision, machine learning, or related areas is required. Experience in object detection, tracking, trajectory analysis, multimodal sensing, scene understanding, pose estimation, motion analysis, or human-centred visual modelling is desirable. Experience in preparing research proposals, or a strong interest in proposal development, is highly welcome.

The ability to work independently and in an interdisciplinary environment is essential. Very good English skills are required. Knowledge of German is desirable, and willingness to improve German skills is welcome.

Ihre Aufgaben

This position offers the opportunity to develop original methods in computer vision and artificial intelligence for the analysis of traffic participants, traffic scenes, and infrastructure from video and multimodal sensor data. This includes detection, tracking, scene understanding, trajectory reconstruction, interaction analysis, and automated interpretation of traffic situations.

Depending on the candidate’s profile, the work may also include human-centred visual representations of road users, especially pedestrians and cyclists, including motion, posture, behaviour, and avatar-based approaches.

We are looking for someone who can design original algorithms and robust processing pipelines for scientific and engineering use, with applications in traffic safety, infrastructure monitoring, and digital road systems.

The position also offers the opportunity to shape new research topics and turn them into funded projects. For ambitious candidates, successful project acquisition can open the path to building a team in this area.

The candidate will also publish research results and support the supervision of students.

We offer a focused research position at the interface of infrastructure engineering and artificial intelligence, with access to real traffic data and advanced sensing systems.

The position offers room to develop original methods and software, publish strong research, and build an independent scientific profile. You will help shape new projects from an early stage, contribute to the growth of this research area at ISAC, and take part in national and international research activities. For ambitious candidates, successful project acquisition can open the path to building a team in this area.

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. Our staff also benefit from a comprehensive continuing education program and the option to purchase a job ticket for convenient commuting.

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