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Doctoral student (licentiate) in Multimodal Autonomous Mobility Systems at KTH, Sweden Apr 2022

Sweden

Doctoral student (licentiate) in Multimodal Autonomous Mobility Systems will play an increasingly critical role in cities, including shared MoD systems, electrified transport, and autonomous vehicles with master’s degree is available at KTH Royal Institute of Technology, Sweden Apr-2022

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General Info

Position: Doctoral Student
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 4 years
Salary: According to standard norms

Workplace:
School of Architecture and Built Environment

KTH Royal Institute of Technology, Sweden

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Qualification Details

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master's degree),
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge
  • strong skills in data analytics, deep learning, transport simulation and programming in Java and Python.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Responsibilities/Job Description

Third-cycle subjectTransportation Science

Online decision-making in multimodal mobility systems will play an increasingly critical role in cities, including shared MoD systems, electrified transport, and autonomous vehicles. While complex mobility systems incorporate first principles based on physical models, they cannot fully take advantage of the valuable information from online data. Pure data-driven approaches are data hungry and highly depend on data quality, and thus may lead to biased and uninformed decisions by neglecting the domain knowledge.

This project develops methodologies for tractable modeling and optimal control of multimodal autonomous mobility systems. The methodology combines data-driven modeling of uncertain systems, stochastic model predictive control, and distributed optimization. Special application emphasis will be paid to integrated public transportation and on-demand services systems from aspects of planning, operations, and management. In addition to your doctoral studies, you will be expected to teach or perform other department duties up to 20% of full-time.

How to Apply?

Application Method: Online Application
Ref. No.: A-2022-0291

Application Procedure

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

About the Employer:

Note

What we offer

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.

After the qualification requirements, great emphasis will be placed on personal competency.

Target degree: Licentiate degree

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