Open opportunities:
Postdoc in Agent-based Computer Simulation for Future Mobility Systems – DTU Management
You will be affiliated with the Intelligent Transport Systems section at the Department of Technology, Management and Economics (DTU Management) of the Technical University of Denmark. The position is part of a larger EU project entitled “FEDORA – Federation of network optimisation services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic management”, funded by the EU Commission’s Horizon Europe Framework.
The successful candidate will work on two integrated research agendas:
- Building an enhance a state-of-the-art agent-based simulation model for assessing future mobility technologies in the Greater Copenhagen region.
- Explore the development of machine-learning based scenario discovery for future mobility policy design.
Further information may be obtained from Associate Professor Carlos Lima Azevedo at climaz@dtu.dk.
Apply no later than 11 July 2025 (23:59 Danish time).
Please click here for more information.
PhD scholarship in Machine Learning for Scenario Discovery in Complex Urban Mobility Systems
We would like to invite applications for a 3-year PhD position at DTU Management’s Transport Division and the Joint Research Centre (JRC of the EU Commission), starting no later than 1 November 2025. The successful candidate will join the Sustainable Smart and Safe Mobility Unit at the JRC in Ispra, Italy, for the first 2 years, and the Intelligent Transportation Systems Section at DTU, Denmark, for the last year. The project will be supervised by Associate Professor Carlos Lima Azevedo and Professor Francisco C. Pereira.
The PhD student will work on research focused on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and transportation decision-making by exploring a wide range of possible scenarios, including unexpected and negative outcomes. By integrating machine learning, metamodeling, and causal representation learning, we aim to efficiently navigate high-dimensional decision spaces, leveraging open-source agent-based simulation tools to evaluate accessibility and environmental impacts of urban planning policies.
Apply no later than 31 July 2025 (23:59 Danish time).
Please click here for more information.
No job vacancy displayed or the current offer does not fit your profile?
Do not worry! We are constantly looking for talented new students and researchers. If you are interested in working with us, drop us a line regardless.
Past opportunities:
PhD Scholarship: Understanding Mobility Cultures Across Europe Using Machine Learning and Big Data, May 31, 2025. Associate Professor Carlos Lima Azevedo and Professor Sonja Haustein (Human Behaviour Section).
Postdoc in Immersive Virtual Reality and Human Decision-Making, November 30, 2024. Assistant Professor Rico Krueger.
PhD Scholarship: Gender Perspectives on Safety of Vulnerable Road Users, November 30, 2024. Assistant Professor Felix Siebert, Associate Professor Carlos Lima Azevedo from DTU and Prof. Winnie Mitullah, from the University of Kenya.
PhD Scholarship in Quantum Computing for Transportation Applications – the QUANTRA project, September 6, 2024. Prof. Otto A. Nielsen (DTU Management) and Associate Professors Sven Karlsson (DTU Compute) and Carlos Lima Azevedo (DTU Management).
Postdoc position in Simulation and AI in APEX project – Artificial Intelligence for Policy Excellence in the Climate Crisis, March 10, 2024. Professor Francisco Pereira.
3 PhD positions in Machine Learning Metamodeling Architectures for Scientific Simulation, March 10, 2024. Professor Francisco Pereira, together with 3 colleagues (Associate Professors Filipe Rodrigues and Carlos Azevedo, Assistant Professor Guido Cantelmo).
PhD position in Behavioural Experiments with Tradable Credits for Mobility, April 1, 2024. Associate Professors Carlos Lima Azevedo and Assistant Professor Ravi Seshadri (Transportation Systems Modelling group – DTU) and Doctor Biagio Ciuffo (European Commission Joint Research Centre).
PhD position in Reinforcement Learning for Intelligent Traffic Signal Control, May 16, 2023. Associate Professors Filipe Rodrigues and Carlos Lima Azevedo.
PhD position in the development of next-generation public transportation systems by using large-scale mobility simulation and new machine-learning techniques, November 18, 2022. Associate Professors Carlos Lima Azevedo and Filipe Rodrigues.
PhD position in mathematical models for explaining and predicting human behavior in urban environments in interactions with autonomous future transportation technologies, December 17, 2022. Assistant Professor Rico Krueger.
PhD position in 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, September 15, 2022. Associate Professors Carlos Lima Azevedo and Filipe Rodrigues.
PhD position in “Proactive traffic control through AI and Big Data”, September 1, 2022. 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.
PhD scholarship in socially aware artificial intelligence for future transportation, September 7, 2022. Professor Francisco Pereira and Assistant Professor Rico Krueger. Associate Professor Xiang Su from the Department of Computer Science at the Norwegian University of Science and Technology (NTNU).
Ph.D. position in the field of Emotional and Behavioural Modelling, February 18, 2022. Associate Professor Carlos Azevedo and Full Professor Francisco Pereira
Industrial Ph.D. position within the project “SORTEDMOBILITY: Self-Organized Rail Traffic for the Evolution of Decentralized MOBILITY”, May 25, 2021.
Ph.D. position opportunity in Digital Sensing and Modelling of Travel Behavior and Mental Health, September 1st, 2021.
Open opportunities:
Postdoc position in Simulation and AI in APEX project – Artificial Intelligence for Policy Excellence in the Climate Crisis
[14 Feb 24]We offer a two-year postdoc opportunity in the Artificial Intelligence for Policy Excellence in the Climate Crisis (APEX) project at the Technical University of Denmark, focused on leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Your role, starting on July 1, 2024, will center on setting up, calibrating and analysing the pre-existing simulators that will form the workbench for the APEX project.
Under the supervision of Professor Francisco Pereira, the successful candidate will work to set up the simulation environment, implement interfacing capabilities, when necessary (for those simulators), and collaborate with the remaining team in applying ML metamodeling techniques. Located in the Intelligent Transportation Systems group in DTU (https://mlsm.man.dtu.dk), this role is ideal for candidates with a PhD in simulation, mathematical modelling, machine learning, and related areas.
Apply no later than 10 March 2024 (23:59 Danish time)
Please click here for more information.
3 PhD positions in Machine Learning Metamodeling Architectures for Scientific Simulation
[14 Feb 24]We offer 3 PhD positions in the Artificial Intelligence for Policy Excellence in the Climate Crisis (APEX) project at the Technical University of Denmark, focused on developing a Machine Learning approximations for simulators (also known as ML metamodels). The successful candidate will join the Machine Learning for Smart Mobility Group and will work under the supervision of Professor Francisco Pereira, together with 3 colleagues (Associate Professors Filipe Rodrigues and Carlos Azevedo, Assistant Professor Guido Cantelmo).
The goal of these 3 PhDs is to develop different types of machine learning-based approximations to simulation tools, that can accelerate their runtimes by many orders of magnitude. If this happens with good accuracy in- and out-of-distribution, then we can eventually apply them directly in such policy studies.
The 3 PhDs are collaborative yet independent, because they explore methodological concepts in three groups:
- Active Learning and Causal Discovery
- Graph Neural Networks and Neural Architecture Search
- Polynomial Neural Networks and Physics-informed deep learning
Apply no later than 10 March 2024 (23:59 Danish time)
Please click here for more information.
[14 Feb 24]PhD position in Behavioural Experiments with Tradable Credits for Mobility
We would like to invite applications for a 3-year PhD position in Behavioural Experiments with Tradable Credits for Mobility. 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 Assistant Professor Ravi Seshadri (Transportation Systems Modelling group – DTU) and Doctor Biagio Ciuffo (European Commission Joint Research Centre).
The successful candidate will focus on the following research agenda:
- Methodological, by modelling and understanding individual behaviour in terms of daily decisions, market related decisions including loss aversion, adherence, endowment effects and market gaming.
- Experimental, by gaining fundamental insights from gaming and field experiments for design improvement, realistic behaviour inference and environmental and mobility impact assessment.
- Design, and test efficient and equitable new tradable schemes and evaluate and assess their impact on mobility, energy and environmental performances in realistic conditions.
Apply no later than 1 April 2024 (23:59 Danish time)
Please click here for more information.
No job vacancy displayed or the current offer does not fit your profile?
Do not worry! We are constantly looking for talented new students and researchers. If you are interested in working with us, drop us a line regardless.
Past opportunities:
[20 May 23]
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!
Please click here for more information.
[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!
Please click here for more information.
[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!
Please click here for more information.
[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!
Please click here for more information.
[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!
Please click here for more information.
[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
Please click here for more information.
[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.