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

The Luxembourg Institute of Socio-Economic Research (LISER)

is recruiting a

Research Associate in the field of Transport planning and Mobility (Post-doc,

f/m)

• Ref: 24-21

• 2 years fixed-term contract, full-time (40h/week)

• Expected start date : As soon as possible

• Department : Urban Development and Mobility (UDM)

• Work location: Belval (Luxembourg)

• Deadline: until the position is filled

This position is part of the FNR-funded INTER project « Value Of Time estimation considering

Automated Vehicle Impacts (VOTAVI) » and will be under the supervision of Dr. Tai-Yu Ma (LISER) and

Prof. Constantinos Antoniou (Technical University of Munich).

About the VOTAVI project

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.

www.liser.lu

The research project is supported by FNR (Luxembourg National Research Fund) and DFG (Germany

Research foundation). It's an international collaboration between LISER and the Technical University

of Munich (the Chair of Transportation Systems Engineering).

Your Role

The successful candidate will be tasked to:

• Develop theoretical and methodological framework for the value of travel time estimation

considering automated vehicles impacts ;

• Design original best-worst scaling experiments and stated preference choice experiments; design

questionnaires and collaborate with LISER's survey team ;

• Analyze the survey data ;

• Develop models for the adoption of emerging modes using discrete choice modeling approaches ;

• Collaborate with the project partner at TUM and write academic papers and present the results in

national/international conferences.

Your Profile

• 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.

What we offer

• A dynamic and international research environment with attractive working conditions and a

stimulating work environment ;

• Flexibility in the organisation of the working hours and the possibility of teleworking ;

• Competitive remuneration according to the Collective Labour Agreement in force (half of a 13th

month salary, meal vouchers, etc.) ;

• Investment in career support and development (trainings, seminars, participation to international

meetings and conferences) ;

• 32.5 days of annual leave for a full-time contract.

How to apply

Please submit your complete application in English via https://jobs.liser.lu/ by including the following

documents:

• a 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

recruitmentliser.lu ).

www.liser.lu

Please note that the position will remain open until filled

Early application is encouraged as the applications are processed upon reception.

Would you have any work-related question on the position, please contact Dr. Tai-Yu MA (tai-

yu.maliser.lu ).

For administrative matters, please contact Mrs Vanya KIROVA