Research Associate in the field of Transport planning and Mobility (Post-doc, f/m)

چکیده:

Title: Research Associate in the field of Transport planning and Mobility (Post-doc, f/m)

Uiversity: The Luxembourg Institute of Socio-Economic Research (LISER)

Project description: Value of travel time, or interchangeably, value of time (VOT) has been a crucial instrument for travel demand modeling, travel behavior analytics, transport policy, and investment evaluation. With the introduction of autonomous modes, such as autonomous vehicles (AVs), but also autonomous Urban Air Mobility (UAM), the perception of VOT is fundamentally changed as AVs enable individuals the capability of performing multiple tasks while traveling. VOTAVI aims at defining a novel methodological framework for the estimation of VOT in the era of AVs, utilizing innovative data collection methods that would allow to explore more thoroughly the impact of latent personal characteristics on their choices. VOTAVI will systematically examine, based on a critical assessment of the current state of the art of value of timing research and offer innovative improvements that reflect emerging lifestyles, technological breakthroughs, and new mobility concepts in different activity contexts. VOTAVI goal is twofold: a) provide an exploration of these factors by the creation of a series of surveys that would investigate the value of travel time in a novel use of both revealed preference (RP) and stated preference (SP); and b) explore the potential of novel data collection techniques (Smartphone Apps) to provide a more thorough investigation for the exploration of VOT changes

Supervisory team:Dr. Tai-Yu Ma (LISER) and Prof. Constantinos Antoniou (Technical University of Munich)

Deadline: until the position is filled

:Requirements

Ph.D. degree in transport planning/economics/engineering, or other relevant field

Excellent knowledge in discrete choice behavior modeling/travel behavior modeling/stated preference survey design

Good skills and experience in data analysis using statistical software

Excellent communication and collaboration skills

Fluency in English (speaking and writing), any other language is considered as an asset

:How to apply

 full CV

a motivation letter, in which you present your relevant skill with respect to the project (2 pages max)

PhD thesis, 1 or 2 representative research papers, or already published articles

Two letters of reference (to be uploaded with the application documents or sent separately to recruitment@liser.lu)

 

More information about the position: Link

 

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