Research Assistant/Associate (f/m/d) - Postdoc "Traffic Space Design"
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Lehrstuhl und Institut für Straßenwesen
In the Department of Traffic Space Design at the Institute for Highway Engineering Aachen (ISAC), our focus is on creating safer, more efficient roads for today's human drivers, while also preparing for the integration of autonomous vehicles. To achieve this, we harness the power of human factors, big data analysis, and machine vision.
Our research is grounded in the use of cutting-edge technologies, including AI and advanced data processing, to explore and implement innovative road design strategies. We utilize big data to gain a comprehensive understanding of current traffic patterns and driver behaviours, ensuring our designs are aligned with the needs of today’s road users. Simultaneously, machine vision technology is incorporated with an eye on the future, preparing our roadways for the advent of autonomous vehicles.
The department’s work encompasses the thoughtful design of road geometries and effective signalling systems, tailored to enhance safety and efficiency for all users. By integrating modern technology that accommodates both human-operated and future autonomous vehicles, we strive to build road infrastructures that are not only technologically advanced but also adaptive to the evolving demands of traffic and transportation.
Our department is equipped with state-of-the-art facilities to support our cutting-edge research. This includes a sophisticated driving simulator offering immersive experiences through 360° projections and sound simulations, advanced eye-tracking systems for detailed behavioral analysis, and a comprehensive suite of radar and video detection technologies for precise traffic pattern measurement. These resources enable us to conduct in-depth studies on human factors and infrastructure safety design, positioning us at the forefront of creating safer and more intelligent road systems for the future.
- Doctoral Degree in a field such as transport engineering, computer science, data science, or human factors.
- Ability to integrate insights across various disciplines, fostering a collaborative approach to traffic management research.
- Competence in the use of statistical software and data analysis tools.
- Business-level fluency in English. Some knowledge of German will be seen favourably.
At least one of these educational skills is required:
- Big Data Analysis and AI: Strong background in handling large datasets, with skills in applying AI and machine learning techniques, crucial for traffic pattern analysis and infrastructure planning.
- Machine Vision Expertise: Specific knowledge in machine vision, particularly its application in autonomous vehicle technology and its interaction with road infrastructure.
- Behavioural Research in Traffic Management: Experience in behavioural studies related to traffic and transportation, including survey design, administration, and safety analysis.
Your Duties and Responsibilities
- Team Leadership and Development: Lead and expand the research team at ISAC, focusing on a diverse range of areas including human factors, artificial intelligence, and big data analysis in traffic management and road design.
- Conduct Multidisciplinary Research: Design and oversee research studies across various domains, such as the integration of AI and big data in traffic analysis, as well as investigating human interactions with transport infrastructure.
- Leverage Advanced Technology: Utilize the institute's driving simulator, AI models, and big data tools to analyse complex traffic scenarios, evaluate infrastructural impacts, and develop innovative traffic solutions.
- Interdisciplinary Collaboration: Collaborate with experts in various fields, incorporating diverse perspectives into comprehensive traffic solutions and engineering advancements.
- Research Dissemination and Communication: Author journal papers, present at conferences, and engage with stakeholders to share and discuss research findings, contributing to the broader knowledge base in the field.
- Mentorship Role: Guide and mentor graduate students and junior researchers, fostering an environment of learning and innovation within the team.
- Industry Engagement: Stay abreast of emerging trends and maintain strong industry connections to ensure the research is aligned with current and future needs in traffic management.
- Funding Acquisition and Project Management: Secure research funding through grants and manage project timelines, resources, and deliverables, ensuring the successful execution of research objectives.
What We Offer
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 of 3 years initially.
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.
|RWTH Aachen University
Lehrstuhl und Institut für Straßenwesen
Prof.Dr. Alvaro Garcia
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail.