The overall aim of the MiRRORS project is to develop a new innovative multi-scale framework for traffic demand and supply estimation and prediction for large road traffic networks using both offline and real-time access to huge amounts of data. The innovation lies in three things. First, we develop hybrid approaches where we combine pattern recognition and classification approaches with state-of-the-art traffic flow models. Second, we develop integrated multi-scale solutions, in which traffic information we estimate on one scale level is used to support and strengthen estimation and prediction on other levels. Third, we develop a distributed approach that is robust and scalable for large-scale road networks
Your tasks are: (1) doing cutting edge research into urban traffic estimation and prediction; (2) supporting the development of the data ecosystem.
You hold a PhD degree in computer science, data science or another relevant topic. Experience in transportation is a (big) bonus, interest in understanding urban traffic dynamics is a must. You have a passion for programming and working with data. You're comfortable with data assimilation techniques and know your way around big data storage solutions. You are intellectually creative, you are a team player (e.g. able to collaboratively do research and write papers and support other researchers) but you’re also able to work independently and take responsibility. Naturally, you have an interesting CV, are curious, eager to learn new things (e.g. traffic simulation), prepared to travel, and you have a sense of humor.
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
For more information about this position, please contact Prof Alexander Verbraeck, e-mail: firstname.lastname@example.org or Prof Hans van Lint, email: email@example.com. To apply, please e-mail a detailed CV, summary of your academic record and research experience, abstract of your PhD thesis (1 page), list of any publications, and list of two references along with a letter of application in a single PDF file entitled “CiTG18.19_Lastname.pdf” by 14 May 2018 to Recruitment-CiTG@tudelft.nl. Make sure to include in your motivational letter (and/or CV) examples of projects in which you succesfully demonstrate your skills relevant to this project.