Student Assistant (f/m/non-binary)

Computer Vision und Machine Learning



Serge Lamberty


+49 241 80-25800



Lehrstuhl und Institut für Straßenwesen

Our Profile

The Institute of Highway Engineering Aachen stands for a sustainable and digital transport infrastructure. As a research institution, we therefore focus on the development and use of modern technologies and processes. Accordingly, one of the institute's current focuses is on the use of machine learning algorithms and computer vision methods for the digitalization of traffic and infrastructure. For the digitization research group at the institute, we are looking for creative, independent students who will help to shape the future of research in this field within the framework of exciting projects:

Your Profile

  • You are studying at a university or university of applied sciences in the field of computer science, electrical engineering or a closely related course of study
  • 3rd semester Bachelor or higher
  • Knowledge of programming with Python and/or C++
  • Knowledge in the area of Machine Learning is advantageous
  • Independent and reliable way of working
  • Good knowledge of German and English
  • Intended minimum duration of the engagement: 2 years

Your Duties and Responsibilities

  • Programming support for the scientific staff in research projects
  • Independent processing of partial aspects of the upcoming programming tasks
  • Support of technical measurement set-ups on motorways (cameras, control, computers)

What We Offer

The successful candidate will be employed as a student assistant.
The position is to be filled at the earliest possible date and offered for a fixed term of initially 3 months.
The option to extend the contract is available and desirable.
This is a part-time contract position.
The standard weekly hours will be 8-12 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 12,00 € per hour.

About us

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at

Application deadline:08/07/2023
Mailing Address:RWTH Aachen University
Lehrstuhl und Institut für Straßenwesen
Serge Lamberty
Mies-van-der-Rohe Str. 1
52074 Aachen
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail.