Open opportunities:
We would like to invite applications for a 3-year PhD position in Reinforcement Learning for Intelligent Traffic Signal Control. The successful candidate will join the Machine Learning for Smart Mobility Group and will work under the supervision of Associate Professors Filipe Rodrigues and Carlos Lima Azevedo.
The successful candidate will explore new machine learning methods, particularly reinforcement learning, deep learning, and Bayesian modelling, for traffic signal control, which will be tested in highly realistic simulation scenarios to be implemented by the candidate in an existing open-source state-of-the-art mobility, energy and emissions micro-simulation tool during the initial stage of the PhD.
Apply no later than 16 May 2023!
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Past opportunities:
[28 October 22]
We would like to invite applications for a 3-year PhD position starting early 2023. The successful candidate will join the Machine Learning for Smart Mobility Group and will work under the supervision of Associate Professors Carlos Lima Azevedo and Filipe Rodrigues.
The successful applicant will work on research that is focused on the development of next-generation public transportation systems by using large-scale mobility simulation and new machine-learning techniques for more efficient, integrated, dynamic, and personalized multi-modal transit services.
Apply no later than 18 November 2022!
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[28 October 22]
We would like to invite applications for a 3-year PhD position starting 1 March 2023 or later (by agreement). The successful candidate will join the Machine Learning for Smart Mobility Group and will work under the supervision of Professor Francisco Pereira and Assistant Professor Rico Krueger.
The successful applicant will work on research that is focused on the development and testing of a new generation of mathematical models for explaining and predicting human behavior in urban environments in interactions with autonomous future transportation technologies such as self-driving cars and last-mile delivery robots.
The project is a strategic collaboration between the Technical University of Denmark (DTU) and its alliance partner, the Norwegian University of Science and Technology (NTNU). The PhD study is under the DTU-NTNU double degree framework agreement, which offers the opportunity to receive PhD diplomas from both DTU (home institution) and NTNU (host institution). To satisfy the requirements of the double degree program, you are expected to spend a minimum of one year at each institution.
Apply no later than 17 December 2022!
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[04 July 22]
We would like to invite applications for a 3-year PhD position starting no later than 1 January 2023. The successful candidate will join the Machine Learning for Smart Mobility Group and will work under the supervision of Associate Professors Carlos Lima Azevedo and Filipe Rodrigues.
The successful applicant will work on research which is focused on the development of next-generation large-scale mobility simulation and the use of new machine-learning techniques in the design of combined energy-transportation demand management schemes.
Apply no later than 15 September 2022!
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[04 July 22]
We would like to invite applications for a 3-year PhD position starting no later than 1 November 2022.
The successful candidate will join the Machine Learning for Smart Mobility Group and will work under the supervision of Associate Professor Filipe Rodrigues and Associate Professor Carlos Lima Azevedo. Furthermore, a collaboration with Prof. Tomer Toledo and a stay (at least 6 months) at the Technion – Israel Institute of Technology is expected during the length of the position.
This PhD project is part of a project entitled “Proactive traffic control through AI and Big Data”, funded by the Independent Research Fund Denmark (Danmarks Frie Forskningsfond).
Apply no later than 1 September 2022!
Please click here for more information.
[28 June 22]
We offer one PhD scholarship in socially aware artificial intelligence for future transportation. The PhD project aims to develop and test a new generation of mathematical models for explaining and predicting human behavior in urban environments in interactions with autonomous future transportation technologies such as self-driving cars and last-mile delivery robots.
The successful candidate will join the Machine Learning for Smart Mobility Group and work under the supervision of Professor Francisco Pereira and Assistant Professor Rico Krueger. The virtual reality experiments will be designed, implemented and conducted under the supervision of Associate Professor Xiang Su from the Department of Computer Science at the Norwegian University of Science and Technology (NTNU).
Apply no later than 7 September 2022!
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[27 January 22]
A 3-year Ph.D. position in Machine Learning for Scenario Exploration starting no later than 1 June 2022 is open for applications. The successful candidate will join our group and will work under the supervision of Associate Professor Carlos Azevedo and Full Professor Francisco Pereira in the field of Emotional and Behavioural Modelling.
Apply no later than 18 February 2022
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[07 April 21]
A 3-year Ph.D. position opportunity starting no later than 1 August 2021. This is an Industrial Ph.D. vacancy, funded by the Innovation Fund Denmark under the project “SORTEDMOBILITY: Self-Organized Rail Traffic for the Evolution of Decentralized MOBILITY”, JPI Urban Europe.
Please click here for more information.
[25 May 21]
Fresh 3-year Ph.D. position opportunity in Digital Sensing and Modelling of Travel Behavior and Mental Health, starting no later than September 1st, 2021.
Please click here for more information.