The Institute for Road Science Aachen (ISAC) is dedicated to enhancing the interface between human behaviour and the safety of transport infrastructure. Our research agenda encompasses the intricacies of how road users interact with their environment and the psychological factors that underpin these interactions. At the institute, we are integrating this focus on human factors into the core of our infrastructure safety design studies. Our focus is on the development of innovative infrastructure elements to support all road users.
The Institute is equipped with cutting-edge resources pivotal for research in Human Factors and Infrastructure Safety Design. Central to our facilities is a sophisticated driving simulator, offering immersive driving experiences with realistic scenarios through 360° projections and sound simulations. We complement this with advanced eye-tracking systems for detailed behavioural analysis, and a suite of radar and video detection technologies for accurate traffic pattern measurement.
Maintain and build the human factors team at ISAC further up
Design and execute research studies to investigate human interactions with transport infrastructure
Utilize the institute's driving simulator to analyse driving behaviour under various conditions and assess the impact of infrastructural changes on driver performance
Application / adaptation / development of research measures in the field of human factors in general, and in the area of infrastructure measures in particular
Collaborate with a multidisciplinary team to integrate psychological insights into engineering solutions
Write journal papers and present findings at conferences and stakeholder meetings to disseminate research outcomes
Assist in the mentorship of graduate students and junior researchers
Stay abreast of the latest research in the field and maintain excellent contacts with the industry to understand their needs
Acquire research funding by applying to calls
A doctoral degree in human factors engineering, psychology, sociology or a related field, preferably with a focus on traffic and transport safety.
Any pre-knowledge in road engineering will be considered favourable but it is not necessary.
Proficiency in conducting comprehensive behavioural analysis, so as in designing, administering, and analysing online questionnaires and other survey methods.
Competence in the use of statistical software and data analysis tools.
Familiarity with driving simulation technology and/or pedestrian and bicycle simulation tools and interpreting results in safety and behavioural studies.
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.
A continuation of employment for 3 years is planned, aiming for a total employment of 6 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 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 14 TV-L.
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 http://www.rwth-aachen.de/dsgvo-information-bewerbung.
EG 14 TV-L