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  3. PhD Position on Multi-Objective Dynamic Geo-Fencing in Metropolitan Transportation Networks

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PhD Position on Multi-Objective Dynamic Geo-Fencing in Metropolitan Transportation Networks

Challenge: Design intelligent, dynamic urban access management
Change: combine Machine Learning, network science and optimisation
Impact: towards next-generation cities and public space management

3 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Mekelweg, Delft, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
36 - 40 uur
Salarisindicatie:
€ 2395 - € 3061 per maand
Opleidingsniveau:
WO

Functieomschrijving

In this PhD. research you will be developing models and methodologies to dynamically redesign and redistribute the accessibility of specific transportation network resources, such as streets, corridors, neighbourhoods and parking areas. Increasingly dense urbanisation is motivating a redesign of public space, in order to foster livability and sustainability. In order to meet these desirable objectives, a careful approach must be adopted so to maintain, if not improve, quality of life standards in metropolitan areas. Flexible use of public space is a promising solution, however numerous challenges arise in engineering such a system. A key challenge is that of determining, from a given set of policy objectives, the geographical areas which should be 'protected' from traffic, e.g. in response to heightened pollutant emissions, traffic congestion or incidents, vulnerable infrastructure etc. etc. Novel methodologies combining aspects of network science, optimisation and machine learning are required to develop an approach which is responsive, scalable and effective, while exhibiting sufficient flexibility to be adapted as policy goals evolve over time.

This PhD. project is conducted at the Department of Transport and Planning (T&P) of the Delft University of Technology. T&P aims at top-level fundamental research that contributes to a more efficient and robust design and reliable operation of transport systems. T&P is composed of 11 research labs addressing various transport challenges. You will be part of the Artificial Intelligence for Mobility Lab (AIM Lab). AIM lab develops innovative data-driven models and methods for evidence-based mobility planning and management to improve overall transport system performance - closely related to public transport, car traffic, and active modes. You will also closely collaborate with the Amsterdam Metropolitan Solutions Institute (AMS), which will act as a linking pin between your research and the needs and requirements of the Municipality of Amsterdam, as well as the data and insights collected under the "Innovation central for Digital Mobility" programme.

Functie-eisen

  • A Master's degree in a relevant field, i.e. Transportation Engineering, Industrial Engineering, Applied Mathematics.
  • Proven competence in programming [need-to-have]
  • Familiarity with combinatoric optimisation modelling and solution approaches [nice-to-have]
  • A passion for application-driven scientific research [nice-to-have]
  • Excellent command of the English language, both written and oral [need-to-have]

If your mother language is not English and you do not hold a degree from an institution in which English is the language of instruction, you must submit proof of English proficiency from either TOEFL (minimum total score of 100) or IELTS (minimum total score of 7.0). Proof of English language proficiency certificates older than two years are not accepted.

Conditions

TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

Additional information

For more information about this vacancy, please contact Dr. Marco Rinaldi, email: M.Rinaldi@tudelft.nl.