Following the postponement of IEEE Forum on Sustainable and Intelligent Transportation Systems to 3-5 November 2020, we have decided to postpone the ‘Summer’ school on Automated Driving to 28-30 October 2020.
Aim of the summer school
This summer school offers PhD students a multidisciplinary basis of knowledge and skills to understand the development and impacts of automated driving. These basis enables the PhD student to choose future research directions, better explain her/his research to colleagues and peers, as well as understand the research approaches and outcomes of her/his colleagues.
Date: Wednesday 28 October – Friday 30 October 2020
Location: Delft University of Technology, the Netherlands
Organized by: Research School for TRansport, Infrastructure and Logistics (TRAIL)
Target group: International PhD students, both TRAIL and non-TRAIL members
Credits: 1 ECTS
Costs: €750 for non-TRAIL members; free for TRAIL members
Special discount: TRAIL PhD Summer School on Automated Driving + IEEE Forum on Intelligent and Sustainable Transportation Systems = €1000
How to apply?
– Submit your application with a short CV & letter of motivation before 1 September 2020 – CLICK HERE
– The course managers will select and inform a maximum of 25 candidates by 15 September 2020
Course managers: Prof. Bart van Arem & Dr. Goncalo Correia
Lecturers: Prof. Bart van Arem (TU Delft), Dr. Goncalo Correia (TU Delft), Dr. Niels Agatz (EUR), Tom Alkim MSc (European Commission), Dr. Haneen Farah (TU Delft), Prof. Kara Kockelman (UTexas), Robert Lohman MSc (2GetThere), Prof. Vincent Marchau (TU Delft/Radboud University), Margriet van Schijndel-de Nooij MSc (TU Eindhoven)
For whom is the summer school intended?
Participation is open for national and international PhD-students that are either performing research in the domain of automated driving or are interested in exploring this topic for their research.
Who is organizing this summer school?
The summer school is organized by TRAIL: the Dutch research school in the area of Transport, Infrastructure and Logistics (TIL), supported by 6 universities. Its main objective is to provide high quality training and education for PhD students in the TIL domain.
The summer school is organized in collaboration with the Spatial and Transport impacts of Automated Driving (STAD) project, funded by the Smart Urban Regions of the Future program of The Netherlands Organisation for Scientific Research. There is also support from the hEAT Lab (research on Electric and Automated Transport) from the Department of Transport & Planning of the TU Delft: https://www.tudelft.nl/citg/heat-lab/)
Setup of the summer school
This summer school will involve a mix of lectures, interactive sessions and field trips. The lectures will be given by top-scientists from different disciplines within TRAIL. Interactive sessions with intensive feedback from scientists and from fellow PhD students will be dedicated to the application of the theory to specific cases. A certificate of 1 ECTS will be provided upon successful completion
In short, the (provisional) program of the summer school is as follows:
During this summer school you will learn from, and work under the supervision of top scientists in the domain of Automated Driving. This gives you the opportunity to make a major step forward in your research. Moreover, you will have the opportunity to extend your network and set-up new research contacts.
Registration: 1 September 2020
Admittance: 15 September 2020
Meals and accommodation
The participation fee includes coffee & tea, lunches (Wednesday- Friday) and a dinner on Wednesday. Travel expenses and hotel accommodation are not included.
Tourist information on Delft can be found on the Delft website – click here.
Covid 19 consideration
The ‘Summer school ‘ is being planned to take place on site, following Dutch regulations such as personal hygiene and social distancing https://www.government.nl/topics/coronavirus-covid-19, as well as the TU Delft implementation regarding Covid 19 https://www.tudelft.nl/en/2020/tu-delft/coronavirus/. We anticipate that we will have elements that may be online.