PhD scholarship in Behavioural Experiments with Tradable Credits for Mobility – The Green Token Project – DTU Management

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PhD scholarship in Behavioural Experiments with Tradable Credits for Mobility – The Green Token Project – DTU Management
Kgs. Lyngby, Denmark

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Job Description

DTU Management’s Transport Division and the Joint Research Centre (JRC of the EU Commission would like to invite applications for a 3-year PhD position starting no later than August 1st, 2024. The successful candidate will join the Intelligent Transport Systems Section at DTU, Denmark for the 1st year and the Sustainable Smart and Safe Mobility Unit at the JRC in Ispra, Italy for year 2 and 3. The candidate will work under the supervision of Assoc. Prof. Carlos Lima Azevedo, Assist. Prof. Ravi Seshadri (DTU) and Dr. Biagio Ciuffo (JRC).
The successful applicant will work on research focused on the understanding of detailed individual behaviour under Tradable Credit Schemes (TCS) and the design of such systems for equitable emission management in multi-modal travel settings.
We are looking for excellent applicants with MSc background on Economics, Behavioural Modelling, Applied Mathematics or Quantitative Environmental Modelling with the interest and ambition to pursue PhD studies in the field of behavioural economics and choice modelling.
This position is funded under the DTU-JRC Collaborative Doctoral Partnership.
Project Background
The Green Token Project focuses on lowering externalities from transport through tradable credit schemes (TCS) for personal mobility management. Emission trading in demand management have successfully been implemented in other economic sectors. Existing efforts of TCS for mobility management reside in promising theoretical studies or less-realistic behavioural surveys. Understanding the behavioural and economic implications of such systems and their impacts on performance remains critical for possibly moving this solution forward. 
Together with our supervision team (with a background in behavioural modelling, demand management, transportation modelling and policy), the successful candidate will focus on the following research agenda:

• Methodological, by modelling and understanding individual behaviour in terms of daily decisions, market related decisions including loss aversion, adherence, endowment effects and market gaming. 
• Experimental, by gaining fundamental insights from gaming and field experiments for design improvement, realistic behaviour inference and environmental and mobility impact assessment.
• Design, and test efficient and equitable new tradable schemes and evaluate and assess their impact on mobility, energy and environmental performances in realistic conditions.

The successful candidate is also expected to collaborate in a larger team working on the topic of TCS both at DTU and the JRC.
Responsibilities and qualifications
Your primary responsibilities are: 

• Conducting systematic review of relevant behavioral economics literature in relation to, tradable credits schemes, choice modeling in individual mobility and pricing.
• Identifying potential behavioral barriers to individual tradable credits schemes in mobility and beyond.
• Develop behavioral experiments to test different designs of tradable credits schemes in various contexts using state-of-the-art methods, i.e., on-line and lab, and field experiments.     
• Exploring and utilizing different data sources to achieve a comprehensive understanding of human decision-making. 
• Conduct behavioral experiments in controlled and un controlled settings.
• Integrate the outcomes with other economic, environmental, and societal indicators.
• Mathematical model formulation and estimation using statistical methods;
• Code implementation and validation for these models in a modelling setting for alternative design and policy analysis.
• Collaborate with researchers from machine learning and transportation in a truly interdisciplinary environment.
• Co-author scientific papers aimed at high-impact journals.
• Participate in international conferences.
• Take advanced classes to improve academic skills.
• Carry out teaching, teaching support and BSc./MSc. co-supervision as part of the overall PhD contract.

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in:

• Economics, behavioural economics, applied mathematics, quantitative environmental modelling, or related topics.

With: 

• Good background in econometrics, statistics or probability theory.
• Programming skills in Python, Julia, R or similar.
• Curiosity and interest about current and future mobility challenges and behavioural nudging
• Ability to translate conceptual behavioral models to its testing experiments and potential behavioral solutions is preferred but not mandatory.
• Excellent communication in English and interpersonal skills for working in a multi-disciplinary team environment.
• Willingness to engage in group-work with a multi-national team;
• Able to work independently;

Approval and Enrolment 
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the PhD degree programmes at DTU’s Department of Technology, Management and Economics. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . 
Assessment
The selection is made in two phases: first at DTU and then at JRC. The assessment of the applicants will be led by Carlos Lima Azevedo, Ravi Seshadri (at DTU) and Biagio Ciuffo (at the JRC).
Eligibility criteria
In accordance with Article 2a) of the GH Rules, candidates should, at the start of the employment contract with the JRC:

• have the nationality of a Member State of the EU or a country associated to the Research Framework Programmes or being resident in an EU Member State since at least five years.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
The JRC provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society. JRC’s Collaborative Doctoral Partnerships  (CDP) is an initiative of the JRC to establish strategic collaborations with higher education institutions that is characterised by research excellence and international reputation. The purpose of CDP is to train a new generation of doctoral students in science and technology. A specific focus lies on the science-policy interface.
Salary and appointment terms
At DTU the appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment at DTU is 1 year. You can read more about career paths at DTU here .
For the period spent at the JRC, doctoral students are offered a grant-holder category 20 contract. The period of employment at the JRC is 2 years. You can read more about JRC’s grants at https://ec.europa.eu/jrc/sites/jrcsh/files/jrc_grantholder_rules.pdf.
Further information
Further information may be obtained from Carlos Lima Azevedo at [email protected]  (DTU).
You can read more about DTU Management at www.man.dtu.dk  and about the JRC at joint-research-centre.ec.europa.eu .
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 
Application procedure 
Your complete online application must be submitted no later than 31 May 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)
• Curriculum vitae 
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it. 
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply.
The Intelligent Transportation System Section belongs to the Transport division of the Department of Technology, Management and Economics (DTU Management) at DTU. The division conducts research and teaching in the field of traffic and transport behaviour and planning, with particular focus on behaviour modelling, machine learning and systems modelling and simulation.
DTU Management conducts excellent research in the intersection between management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity, and sustainability within the society. A key element is the role of technology and its interaction with industry and individuals. Explore more at  www.man.dtu.dk .
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

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Job Info

• Job Identification 3188
• Job Category Phd
• Posting Date 04/12/2024, 05:57 AM
• Apply Before 05/31/2024, 05:59 PM
• Locations Produktionstorvet, Kgs. Lyngby, 2800, DK

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