The 4 PhD positions are part of CriticalMaaS, a research program funded by the European Research Council.
CriticalMaaS is devoted to the development and testing of theories and models to explain and predict the performance of (potentially fully-automated) flexible on-demand transport services offered by Mobility as a Service providers at strategic, tactical and real-time operation levels by identifying key determinants of level-of-service, including the consideration of travel demand patterns, traveller and operator behavioural preferences, service design and fleet allocation and management with a special focus on system-wide accessibility, efficiency and equity effects.
The PhD projects will
(1) develop dynamic network models for on-demand services
(2) identify the determinants of MaaS users and related market segments
(3) develop operational strategies and the interaction between service suppliers and the service platform
(4) determine the dynamics of the market evolution and adoption of MaaS and related transition phases
Key research questions include: what is the potential market share of MaaS under different conditions? What are the economies of scale of on-demand services? How will they co-exist with conventional public transport? Will they compete or complement each other? What is the optimal resource allocation for hybrid public transport operations? How willing are people to share their rides?
The PhD researchers will work together in the CriticalMaaS project team and will collaborate with other colleagues in the Smart Public Transport Lab: http://smartptlab.tudelft.nl/
Link to more information: https://www.tudelft.nl/en/2018/citg/erc-starting-grant-for-new-models-of-mobility-as-a-service/
We are looking for talented and driven candidates with a passion for science and the future of transport.
- a relevant MSc degree in an applied science field
- background in at least one of the following: optimization, simulation, network science, behavioural modelling, econometrics, computer science or similar, preferably with experience in transport modelling
- experience and desire to further advance your modelling and analytical skills
- good command of English
- motivated to contribute to a stimulating research environment
- interest or affinity with urban transport planning and operations
Experience with one of the following is an advantage: agent-based modelling, simulation-based optimisation, graph theory, artificial intelligence
TU Delft offers a 4-years employment, a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit http://www.tudelft.nl/phd for more information.
To apply, submit the following in one pdf file: (1) 1-page Motivation letter; (2) CV; (3) Two slides pitching your view on one of the four PhD projects described in the ad.
Please highlight in your motivation letter and/or CV examples of projects in which you demonstrate your (transport) network and/or operations modelling and/or behavioral modelling and/or analytical skills. Also mention when you could start. We are somewhat flexible here; but latest starting data would be early 2019.
Please e-mail all your application information in one single PDF entitled Lastname_ CITG18-40 pdf by 23 September 2018 to Recruitment-CiTG@tudelft.nl.
For more information about this position, please contact Assistent Professor dr. Oded Cats, e-mail: email@example.com.
What makes this vacancy unique? Large research project, Innovative mobility solutions, Macro and micro modelling, Interaction with stakeholders