Research in the Transport Studies group focuses on interactions between smart mobility and digitalisation, transport infrastructure, land-use and behaviour, and its societal impacts (including equity, safety, climate). We take an interdisciplinary and multidisciplinary perspective on transport and collaborate with researchers in the Netherlands and abroad from various disciplines (including industrial engineering, human factors, computer science, geography, urban planning, healthcare technology, and operations). We conduct ground-breaking research on these issues in different national and international projects. As an Assistant or Associate Professor, you will conduct research, acquire external research funding, supervise PhD students, and teach and coordinate courses at the Bachelor and Master’s level. Join our team and strive to broaden our research portfolio!
The challenge
There is huge potential to benefit from the increasing availability of (big) data in the transportation domain. A wide range of sensors, part of mobile phones, vehicles, and Internet of Things devices, generate data continuously. Data science technologies, spatial data, and geo-visualization techniques open unprecedented opportunities to better explain and predict travel patterns. Artificial Intelligence (AI)-driven modelling and prediction has the potential to reshape urban mobility. AI can help operators in transport planning, demand prediction, real-time traffic management, and the optimization and maintenance of traffic and transport systems. AI can also offer travellers opportunities for better travel planning and travel experiences by mobile apps and virtual assistants.
As an Assistant/Associate Professor you will:
- carry out innovative research in the field of data-driven and Artificial Intelligence (AI)-driven modelling, planning and prediction
- develop ground-breaking research projects in close collaboration with colleagues and the industry.
- improve your home-based specific expertise and develop an interdisciplinary research line.
- acquire external research funding and build our research and teaching ecosystem
- teach and coordinate courses in our Bachelor programme Civil Engineering and Master track Transport Engineering and Management which is part of the Master programme Civil Engineering and Management
- supervise students in their graduation assignment
- contribute to the supervision of PhD candidate(s).
Your profile
Candidates we seek:
- show vision and ambitious drive (seeing opportunities and possibilities, showing ambition)
- hold a PhD degree in civil engineering, data science, applied mathematics, operations research, or related fields
- have research expertise which comprises quantitative transport modelling, data analytics, AI-driven modelling and prediction, simulation and optimisation techniques to improve performance or maintenance of road-based transport networks
- have a strong interest in operating at the crossroads of different fields.
- have a track record in attracting external research funding and are active in networks for acquiring research funding
- have ambition and experience in working closely with companies and government agencies
- have a passion for teaching and for developing education that cultivate student-learning.
- hold a University Teaching Qualification (UTQ) for Dutch Universities, a similar qualification, or are willing to obtain this within 3 years after the start
- possess good communication skills and an excellent command of English.
- are able to speak or willing to learn Dutch.
Would you love to make an impact with research? Then apply now!
Our offer
- We offer an Assistant or Associate Professor position, depending on experience in research, education, project acquisition, and PhD supervision;
- We offer a fulltime position for one year with the prospect of a permanent position after a positive evaluation;
- The salary, depending on education and experience, ranges between € 4728 to € 8673 gross per month (in accordance with the Collective Labour Agreement for Dutch Universities);
- We have a minimum of 29 leave days in case of fulltime employment based on a formal workweek of 38 hours. A fulltime employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis;
- The University of Twente offers additional attractive employment conditions (8% holiday allowance, 8.3% end-of-year bonus, solid pension scheme, sabbatical leave, professional and personal development programs).
Information and application
Please submit your application before October 31, 2025, by clicking the “Apply now” button.
