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.

You have:

- 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.

Delft University of Technology

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

https://www.tudelft.nl

Faculty Civil Engineering and Geosciences

The Faculty of Civil Engineering and Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology and delta technology. The research covers global social issues and is closely connected toeducation as well as the work of a wide range of knowledge institutions. The faculty was ranked second in the latest QS world university ranking.

Department of Transport & Planning

The Department of Transport & Planning (T&P) (about 100 members) has a strong track record in traffic flow theory, traffic simulation, dynamic traffic management and intelligent transport systems of all transport modes, including railway, pedestrians and urban public transport. A trademark of the department is the use of empirical data and advanced modelling tools. TU Delft is consistently ranked among the top 3 for the subject ‘Transportation Science & Technology’ in the Shanghai Global Academic Ranking.

https://www.tudelft.nl/en/ceg/