Post-doc: Analysis & Integration of Traveller Behaviour with Data Analytics

The position is part of the H2020 project My-TRAC (My TRAvel Companion), which aims to develop an innovative application for seamless transport and an ecosystem of models and algorithms for public transport user choice simulation ...

21 dagen geleden

Arbeidsvoorwaarden

Standplaats:
Landelijk / geen vaste standplaats
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Salarisindicatie:
€ 4084 per maand
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

The position is part of the H2020 project My-TRAC (My TRAvel Companion), which aims to develop an innovative application for seamless transport and an ecosystem of models and algorithms for public transport user choice simulation, data analytics, and affective computing. Within this project, industrial and academic partners from throughout Europe will work together to realise the project goals. Delft University of Technology will play a key role in understanding and modelling traveller behaviour, in developing a data analytics framework that mines dynamic and personalised preferences from user data, and in carrying out a pilot in the Amsterdam region.

Within this project, we are looking for a post-doctoral researcher who will focus on the integration of traveller behaviour modelling and simulation and the data analytics tools. To this end you will work closely together with two PhD students, who will work on traveller behaviour and the data analytics framework respectively. Your role will be (1) to support the PhDs in the broadest sense; (2) to aid the development of the analytics framework, such that it is useable in/for the development of the My-TRAC application, which will be developed by other partners in the project. Your role will also include close collaboration with other project partners to achieve the project's goals.  

Functie-eisen

Candidates should
• have a PhD degree in a relevant field (e.g. data science, computer science, applied mathematics).
• have affinity with artificial intelligence (AI) and machine learning (ML) techniques.
• have strong analytical skills and a desire to learn new things.
• love programming and building/developing things (and have evidence to show they’re good at it).
• love science and experimental research in general.
• be a good communicator and have a good proficiency in spoken and written English.
• fit well and feel comfortable in a multi-disciplinary project team.
• be able to work under pressure of deadlines (and meet these).
• be enthusiastic and have a sense of humour.

Conditions

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.

For more information about this position, please contact Simeon Calvert, s.c.calvert@tudelft.nl. To apply, please e-mail a detailed CV and a letter of application by 28 July 2017 to Simeon Calvert, Recruitment-CiTG@tudelft.nl.
When applying for this position, please refer to vacancy number CITG17-16.

Additional information

Simeon Calvert
s.c.calvert@tudelft.nl

Technische Universiteit Delft

Bedrijfsomschrijving

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 Department of Transport and Planning (with 140 staff members of whom 35 are permanent) aims to provide top-level, fundamental research and education that contributes to a more efficient, safe, and robust design and reliable operation of transport systems that meet mobility demands and respect scarce environmental and human resources. Our general approach takes a multi-modal and multi-class perspective, using rigorous quantitative approaches based on original, empirical data. Core application areas are Network Traffic Operations and Management, Reliable Multimodal Transport Systems, Cooperative and Automated Driving, and Active Mode Mobility.

DiTTlab: Delft integrated Traffic & Travel laboratory operates as a research lab within the Department of Transport and Planning. DiTTlab is an open laboratory in which students, researchers and practitioners can work with traffic data and simulation models to develop knowledge and tools for the greater good of the international traffic and transport community and at the same time offer possibilities for public and private partners to engage in this research and develop both private and public services on the basis of the developed knowledge.

Solliciteren?

Middels onderstaande knop kun je direct solliciteren op deze vacature.

Reageer op deze vacature