These two PhD positions are part of a research project called ToGRIP. ToGRIP aims to develop new joint traffic management and freight trip planning methods by developing an innovative, integrated traffic and logistics model for port-related traffic and traffic between regional hubs and distribution centres, including important corridors like the ITS corridor Rotterdam-Frankfurt-Vienna.
You will focus on developing an integrated, data-driven traffic and logistics model. Data-driven implies that you will use an extensive amount of traffic data (speeds and volumes), including GPS data from trucks and other data sources for your model. PhD position 1 will focus on empirical analysis and model development at the micro-level. PhD position 2 will focus on empirical analysis and model development at the macro-level. Both PhD students will work closely together in order to make sure that at the end of the project their models can be integrated. You will collaborate with researchers from the Delft University of Technology, DiTTLab and TNO and with non-academic partners, such as the Port of Rotterdam, Rijkswaterstaat, Portbase, SmarPort, Deltalinqs and TLN.

We are looking for highly talented and driven candidates. You have:
• a relevant MSc degree in transportation, mathematics, econometrics, or a related applied science field.
• an analytical approach to problem solving and eagerness to learn new things.
• a proven background and interest in further developing your data analysis, modelling, and/or programming skills.
• excellent spoken and written proficiency in English.
• ability to contribute to a stimulating research environment.
• excellent communication skills and ability to cooperate with both scientists and transport professionals.
Proficiency in Dutch is desirable.

Fixed-term contract: 4 years.

The TU Delft offers an attractive, customisable compensation and benefits package, including 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 day care, before- and after-school care 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. The 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 www.tudelft.nl/phd for more information.

For more information about this position, please contact Maaike Snelder, phone: +31 (0)6-31792874, e-mail: m.snelder@tudelft.nl. To apply, please e-mail a detailed CV, a letter of application, an overview of your grades and an abstract of your MSc thesis (1 page) by 28 September 2017 to Recruitment-CiTG@tudelft.nl.
When applying for this position, please refer to vacancy number CITG17-26.

Delft University of Technology

Delft University of Technology (the 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. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Civil Engineering & Geosciences

The Faculty of Civil Engineering and Geosciences of Delft University of Technology (TU Delft) provides leading international research and education, with innovation and sustainability as central themes. Research and education are closely interwoven and address societal challenges. The Faculty consists of the departments of Transport and Planning, Structural Engineering, Geoscience and Engineering, Water Management, Hydraulic Engineering, and Geoscience and Remote Sensing.
The Transport and Planning Department (T&P) has been awarded the maximum score for all research assessments for the last 15 years. The faculty was ranked second in the latest QS world university ranking. T&P (with about 80 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, incorporating human factors and advanced modelling tools.