Assistant Professor AI-based Real Time Transport Supply-Demand Management

Job description

Eindhoven University of Technology is a relatively young university, founded in 1956 by Industry, local government and academia. Today, this spirit  of collaboration is still at the heart of the university community. Our campus is located at the center of one of the most powerful technology hubs in the world: Brainport Eindhoven. This hub stands out when it comes to collaborating with industries and governmental agencies; it forms a thriving ecosystem with one common aim – to improve quality of life through sustainable innovations. It is a place where we combine scientific curiosity with a hands-on mentality.

Built Environment is one out of nine departments, and houses a unique wide spectrum of disciplinary knowledge in the fields of architecture, urbanism, civil engineering and technology (e.g. structural design, building physics and material science). We act at various levels of scale, from materials to buildings and subsequently to cities, whereby we pay attention to the impact of design and technology on humans. This diversity profiles us, and we cherish it.

The department employs about 260 academic staff members, including approximately 190 PhDs, EngDs and Postdocs, organized over four disciplinary units. Scientists within the units are encouraged to team up over the borders of their own field of expertise via cross-disciplinary research and education, and work on contemporary, technologically relevant themes, such as the energy transition and sustainability.

Vacancy Profile

Extremely large amount of data is available regarding real time (private and public) vehicle  positions, aggregate traffic conditions, real time states of infrastructure, route planning recommendation (to drivers who use such system), position of sharing services in the network, availability of parking areas, accidents and in the future information about the presence of Autonomous Vehicles in the network. To overcome the challenges cities are facing such as emission and congestion it is vital that this substantial amount and diverse (in nature) of data to be collectively and simultaneously used to optimize the usage of services and infrastructure by giving the right people, right types of advice at right times and right places and update the system in real time given citizens’ reaction (to the recommendation). This will likely lead to the decreased demand for transport infrastructure (roads, parking) and allows valuable land in cities to be instead used for other functions such as greenery and/or community based facilities. In other words, the purpose is to build a system which can optimize the traffic network system by collecting real time information mentioned above  and providing recommendation to the drivers (as close to their preference as possible respecting their temporal and spatial constraints) in terms of mode choice, route choice, destination choice, departure time and activity duration. The system also enables the traffic infrastructure to be adjusted in real-time to maximize the efficiency of traffic. To enable a smooth human interaction with such a complex dynamic system, the complementarity purpose is processing and visualizing all information on a digital twin of cities to facilitate the communication among parties and understanding of such system for city planners and policy makers. In the future when AV would be part of the urban fleet (mixed fleet), having such a system in place encompassing real time information of manual cars, AV and states of infrastructure,  would guarantee higher level of safety by communicating information to relevant parties (drivers, AV, infrastructure and transport service providers).

Work Environment

Eindhoven University of Technology (TU/e) is a leading research university specializing in engineering science and technology with strong bonds to industry practice. Following the strategic goals, the Department of the Built Environment (BE) aims to educate future generations of students and meet today’s and tomorrow’s societal challenges.

As an assistant professor, you will contribute to achieving the educational and research objectives of the chair of urban planning and transportation group, within the unit Urban Systems and Real Estate (USRE). Part of your task is supervising of BSc, MSc and co-supervising of PhD students. You will contribute in teaching of courses at Bachelor and Master level. You are expected to write research proposals to acquire fund and publish in high quality journals and be member of committees within faculty and/ or university.

Job requirements

We offer a stimulating and ambitious educational and research environment and are looking for candidates with the following qualifications:

• You hold an MSc Degree in Engineering and a PhD Degree in the field of data science, operational research, or computer science minoring in transportation or a degree in transportation engineering with rich knowledge in deep learning and programming.
• You have some years of experience as a postdoc researcher.
• You have demonstrated your research skills by means of publications in reputed journals and conference proceedings.
• You have an affinity with deep learning algorithms,  geospatial information systems (GIS) and have high expertise in Python and R.
• You have gained international experience and collaborated with international thought leaders in academia on the vacancy topic.
• You can create a vibrant and effective learning environment and have the ability to motivate students both in research-based and challenge-based types of education (academic proficiency and design and engineering attitude).
• You have an excellent and broad international network in academia and industry to acquire research grants.
• You have an affinity with engineering and planning applications in the built environment and a creative mind in finding new solutions.
• You have a good command of English, both orally and in writing.
• You are a team player by nature, but able to work collaboratively as well as independently.

Conditions of employment

train station. In addition, we offer you:

• A Tenure Track of five years with the prospect of becoming an Associate Professor.
• The opportunity to focus your career on education, research or impact. You can develop your personal ambitions and objections within the strategic objectives of the university.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11 (min. €3.974,-max. € 5.439,-).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs for academic leadership and teaching.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Curious to hear more about what it is like as a professor at TU/e? Please view the video: https://www.youtube.com/watch?v=85ApbAfeCcM.

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Soora Rasouli, full professor, s.rasouli[at]tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Jennifer Berkhout, HR advisor, HRadviceBE[at]tue.nl or +31 40 247 2215

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.
• Description of your scientific interests and plans (1-2 pages).
• Statement of your teaching goals and experience (1-2 pages).

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.