Third-cycle subject: Transport Science
The focus of the project is to integrate societal impact assessment of transport solutions with travel behavior models. Travel behaviour models and societal impact assessment methods are built separately and often need particular expertise to synthesize and streamline the findings. This project will address this issue in an effort to explore and develop integrated assessment models with AI. It will address how new technology based solutions (e.g. CAVs, EVs) and nuanced policy interventions (e.g. restricting fossil fuel vehicle use, reducing car parking, introducing carpooling) impact sustainability outcomes, specifically behavioural adaptation, emission targets and equity goals. The methodological approach will be a combination of theory driven and data driven models to build theory driven AI systems. Application of estimates like consumer surplus, value of travel time, demand elasticities will be discussed in the process of critical literature review and model development. The use of big data from traffic censors and social media data mining will be explored.
Empirical evidence will be documented in scientific publications and disseminated with stakeholders beyond academia. The candidate will collaborate with other doctoral students in the research group to build on existing accessibility indices, agent based simulation model and digital twins
Supervisor: Fariya Sharmeen, is proposed to supervise the doctoral student. Decisions are made on admission.
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:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following assessment criteria will be used:
Highly desirable:
After the eligibility requirements, great emphasis will be placed on personal qualities and personal competency.
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.
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Contact information for doctoral section.
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/Central European Summer Time).
Applications must include the following elements:
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
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According to The Protective Security Act (2018-585), the candidate must undergo and pass security vetting if the position is placed in a security class. Information regarding whether the position is subject to such a classification will be provided during the recruitment process.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | March 1st 2025, or upon agreement |
Salary | Monthly salary according to KTH's doctoral student salary agreement |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | A-2024-2105 |
Contact |
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Published | 05.Dec.2024 |
Last application date | 15.Jan.2025 11:59 PM CET |