Doctoral student
2 days ago
The population in the Stockholm region is estimated to be 3.4 million in 2050, a growth of 50% to today's 2.4 million. The rapid population growth will result in higher traffic congestion and crowding in public transport. Large travel demand is already responsible for noise, pollution, crowding, and stress for travelers and people living in urban areas. Traditional traffic and mobility management already play an important part; however, it often has a reactive character. It needs to be transitioned more to pro-active data-driven multimodal traffic management to unveil its full potential and benefits for society and better management of existing resources.
In this project, you will have the opportunity to explore multimodal mobility patterns in the Stockholm region using various data sources such as GPS, highway microwave sensors, toll portals, e-scooters, mobile phones, and public transport smart card data. You will use data-driven analytics, choice modeling, machine learning (ML), artificial intelligence (AI), and simulation to unveil the understanding of typical multimodal travel patterns and their relationships during various events, traffic incidents, and public transport disruptions. All this will lead to a multimodal predictive framework essential for pro-active scenario-based multimodal traffic management.
Supervision: Wilco Burghout, Matej Cebecauer, and Erik Jenelius is proposed to supervise the doctoral student. Decisions are made on admission.
What we offer:
- The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.
- A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
- A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
- Work and study in Stockholm, close to nature and the water.
- Help to relocate and be settled in Sweden and at KTH.
- The project is carried in close collaboration with Linköping University researchers and funded by Center of Transport Research (CTR) and Trafikverket.
Admission requirements:
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), or
- 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.
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
Special Eligibility:
- second cycle degree (for example a master's degree) in transportation, data science, computer science, operation research, or related disciplines.
- experience with data analytics, machine-learning, artificial intelligence, transport modeling and simulation.
- data science and programming skills (Python or other programming language).
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.
Information regarding admission and employment:
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.
To apply for the position:
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 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. 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.
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.
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