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documentId: 4920829

connectionPointId: 7

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stillingsbetegnelse:
Research Assistant in Smart Mobility Management and Operation

jobbeskrivelse:

The Machine Learning for Smart Mobility Group and the Transport Modelling Division of the Department of Management Engineering at the Technical University of Denmark (DTU) is looking for excellent applicants to join the Division, starting on March 1st, 2019 or later.

The successful applicant will work on research focused on tradable credit schemes for mobility management, an innovative system for the control and coordination of multi-modal transportation systems.

We are looking for excellent applicants with MSc background on Transportation, Economics, Applied Mathematics, Computer Science and Simulation or Operations Research with the interest and ambition to pursue PhD studies.

The focus of this research is in Transportation Modelling lying in the intersection between, Network Simulation, Dynamic Optimization and Behaviour Modelling.

Project overview

Historically, inefficiencies such as congestion and vehicular emissions have been generally addressed with information provision and pricing. Recently, quantity control has been under the spotlight in transportation research, leveraging from successful applications in other economic sectors, such as the communications, energy or environmental sectors. Limited supply is in the end a scarcity problem that can be dealt with a price instrument, a quantity instrument or a combination of both, such as tradable credit schemes (TCS). Within a TCS system, a regulator provides an initial endowment of mobility credits to all potential travellers. In order to use a transportation system, users need to spend a certain number of permits (i.e.: tariff) that could vary with the conditions/performance of the specific mobility alternative used. The permits can be bought and sold in a market that is monitored by the regulator at a price that is determined by demand and supply interactions.

In this project we aim at leveraging the existing theoretical foundation on TCS and focus on its potential deployment and impact assessment on a realistic setting. More specifically, the RA will work closely with its supervisor to develop a realistic modelling framework for testing different operational designs. The project will be rooted around a the implementation in realistic simulation applications. Other data sources, namely from controlled experiments to be designed by the team, can be incorporated into the project to further test the developed frameworks.

This project is a partnership with the Massachusetts Institute of Technology (MIT), particularly on the behavioural and network modelling.

Responsibilities and tasks

• Literature review and learning in TCS and mobility management modelling studies;
• Model formulation and estimation using statistical methods;
• Code implementation and validation for these models within the context of simulation environment;
• Test the impact of different TCS operational designs within the developed framework;

Qualifications

• A MSc degree in Transportation Modelling, Applied Mathematics, Economics, Computer Science and Simulation, Operations Research, Industrial Engineering or related is required;
• Excellent programming capabilities, in at least one scientific language (e.g. Python, Matlab, R, Julia) is required;
• Excellent background in statistics and probabilities is required;
• Transportation Modelling disciplines in the education background are preferable;
• Knowledge of C++ programming skills is preferable;

The following soft skills are also important:

• Curiosity and interest about current and future mobility challenges (e.g. smart and integrated mobility, network modelling, travel behaviour);
• Good communication skills in English, both written and orally;
• Willingness to engage in group-work with a multi-national team;

Assessment

The assessment of the applicants will be made by 15 February 2019.

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.

Salary and terms of employment

The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The Research Assistant contract is offered for a one-year term.

You can read more about career paths at DTU here. http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths

Further information

For more information, please contact Carlos Lima Azevedo, climaz (at) dtu.dk, tel.: +45 4525 1545.

You can read more about DTU Management Engineering in http://www.man.dtu.dk. Application http://www.man.dtu.dk/english

Please submit your online application no later than 31 January 2019 (local time). To apply, please open the link "Apply online", fill out the online application form. The following must be attached in English:

• Application (cover letter)
• CV
• Diploma (MSc)

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The Machine Learning for Smart Mobility group belongs to the Transport Modelling division of the department of Management Engineering at DTU. The division conducts research and teaching in the field of traffic and transport planning, with particular focus on behaviour modelling, machine learning and simulation. http://www.transportmodeling.man.dtu.dk/

DTU Management Engineering conducts high-level research and teaching with a focus on sustainability, transport, innovation and management science. Our goal is to create knowledge on the societal aspects of technology - including the interaction between technology and sustainability, business growth, infrastructure and prosperity. Therefore, we explore and create value in the areas of management science, innovation and design thinking, business analytics, systems and risk analyses, human behaviour, regulation and policy analysis. The department offers teaching from introductionary to advanced courses/projects at BSc, MSc and PhD level. The Department has a staff of app. 350. Read more here. http://www.man.dtu.dk/english

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.


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jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

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Arbejdsgiver Navn: Danmarks Tekniske Universitet

source: DK-STAR