Postdoc Automated Multimodal Pod-based Mobility Systems for Passengers and Freight

10 May 2023
Job Information

Organisation/Company

Delft University of Technology (TU Delft)

Research Field

Technology

Researcher Profile

Recognised Researcher (R2)

Country

Netherlands

Application Deadline

11 Jun 2023 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The advent of market-ready digital solutions and automation provides a promising foundation for revolutionary mobility concepts. A Post-doc position is open at the Freight Transport & Logistics lab within a new European Project, PoDs4Rail, concerning rail-based flexible guided transportation systems. The technology revolves around small automated rail cars (Pods) used for both passengers and freight, which can move independently as well as coupled into trains. The size of the pods and their mixed use allow for the necessary flexibility to provide high service levels at acceptable costs. In this project you will focus on creation of a modular software framework representing the behaviour of the physical system, with connections to technical-operational models developed in the project. You will also develop models and algorithms for decentral control of the Pods movements in the network.

As part of the activities, you will be involved in project management and supervision of PhD and master students working on the same topic. You will manage preparation of deliverables, research papers, and a solid ground for the continuation of further research activities. The duration of the postdoc position is 30 months, preferably starting from 1st of September 2023.

Requirements
Specific Requirements

You are a highly motivated and enthusiastic researcher (F/M) with the ambition to conduct high-quality interdisciplinary research. You enjoy thinking out-of-the-box, mentoring young researchers and are highly innovative, communicative and enjoy team work. You are reliable, independent, and organized in delivering with respect to deadlines. You have excellent communication and collaboration skills. In addition,

• You have a PhD degree in Computer science, Control, Transportation Engineering or a related field (with a strong background in optimization and mathematical modelling).
• You have strong software development skills in relevant programming languages such as Python, and you have knowledge in data management and software integration methods.
• You have knowledge related to (and keen on deepening your knowledge in) VRP, scheduling, fleet management, and similar problems.
• You are familiar with the areas of intermodal freight transport, and railway operations and planning and related fields.
• Familiarity with machine learning is a plus.
• An excellent command of English is expected.

Additional Information
Benefits

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

Selection process

Are you interested in this vacancy? Please apply before 11 June 2023 via the application button and upload the following:

• Cover/motivation letter explaining your interest and your qualifications for this position, a proposal on how you would approach the described problem and how your skills match the requirements;
• Curriculum Vitae;
• Your PhD degree;
• Proof of English language proficiency (TOEFL, IELTS or Cambridge);
• Related journal and/or conference scientific papers;
• Contact details of two academic referees.

Please note:

• You can apply online. We will not process applications sent by email and/or post.
• A pre-Employment screening can be part of the selection procedure.
• Please do not contact us for unsolicited services.

Additional comments

For more information about this vacancy, please contact Dr. Mahnam Saeednia, Department of Transport and Planning, e-mail: [email protected] .

Website for additional job details

https://www.academictransfer.com/327570/

Work Location(s)

Number of offers available

1

Company/Institute

Delft University of Technology

Country

Netherlands

City

Delft

Postal Code

2628 CD

Street

Mekelweg 2

Where to apply

Website

https://www.academictransfer.com/327570/postdoc-automated-multimodal-pod-based-…

Contact

City

Delft

Website

http://www.tudelft.nl/

Street

Mekelweg 2

Postal Code

2628 CD

STATUS: EXPIRED