PhD Student Position – Personalized and Automated Transportation
Joint PhD - Aalto University (Finland) and Tel Aviv University (Israel)
Aalto University
Aalto University is a community of bold thinkers, where science and art meet technology and business. Aalto University is committed to identifying and solving grand societal challenges and building an innovative future. Aalto University’s community is made up of 13,000 students, 400 professors, and close to 4,500 other faculty and staff working on a dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of Aalto University’s identity, and we actively work to ensure our community’s diversity and inclusiveness. Aalto University is ranked first among Finnish universities and 109th in the overall worldwide ranking, while in the social and environmental impact of universities, Aalto University is ranked 53rd globally (QS).
Tel Aviv University
Tel Aviv University (TAU) is the largest, most comprehensive, and most dynamic research and teaching institution in Israel, offering the country’s most diversified range of study and research fields, with nine faculties and over 30,000 students, 1,200 researchers and 125 schools and departments across the sciences, humanities, and arts. Located at the heart of Israel’s economic, technological, and cultural centre, TAU is proud of its liberal and pluralistic spirit. TAU ranks first in Israel (Times & Taiwan rankings); as a global top 100 innovation university (Reuters); and seventh in the world – and first outside the USA – for producing successful, VC-backed entrepreneurs (PitchBook). The University’s cutting-edge advancements are reinforced through ties with prominent research institutions ranging from NASA and Harvard to Tsinghua University and CERN.
Project Overview
Emerging transport technologies such as automated vehicles (AVs) may hold out great benefits to the urban environment and various travelers, yet AV’s impact on specific groups with unique characteristics has hardly been explored in the literature, not to mention the lack of empirical evidence. The main objective of the proposed study is to fill this gap by exploring the mobility behavior, preferences, and needs of unique groups and to develop optimal automated mobility solutions for them using state-of-the-art simulation tools that closely mimic reality. To achieve such goals, we will analyze unique datasets of individual mobility preferences, design and optimize smart mobility solutions such as automated mobility on demand at the operational level, particularly fleet size with multi-class vehicles, along with an operation system including dispatching, scheduling, and pricing strategies designed specifically for the needs of the studied groups; and compare the AV solutions under different scenarios in a large-scale city and evaluate the expected impact on groups' mobility and consequently on their quality of life.
Responsibilities
The specific responsibilities will involve:
Requirements
Preferential advantages:
Duration and financing
To Apply
Interested applicants should submit their full CV/resume, a 1-page cover letter, and a list of three referees, compiled in a single PDF document, by 15 December 2023. For further information, please contact Prof. Claudio Roncoli at Aalto University (claudio.roncoli@aalto.fi) and Dr. Bat-hen Nahmias-Biran at Tel Aviv University (bathennb@gmail.com)
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