Arbejde PhD scholarship in Planning and Operating Public Transport Services with Autonomous Vehicles unspecified Danmarks Tekniske Universitet - jobtilbud
reference: 4877547
documentId: 4877547
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lastModificationDate: 1536739085390
stillingsbetegnelse:
PhD scholarship in Planning and Operating Public Transport Services with Autonomous Vehicles
jobbeskrivelse:
The Transport Modelling Group (TMG) of the Technical University of Denmark (DTU), Department of Management Engineering, is looking for excellent applicants to pursue PhD studies, starting in January 2019. Our group do methodological research in Quantitative Transport Models for the benefit of the society. The group cover a broad spectrum of modelling competences from mathematical modelling, optimisation, machine learning and demand modelling.
The project is part of a large research project, TUPPAC, with participation of a range of national and international partners (e.g. Nobina, IBM, RUC, etc.). In the project, four autonomous busses will be acquired and operated as part of a test-bed on two locations. Several datasets concerning user preferences and operation characteristics of autonomous buses will be collected and offered to the student. In addition, a front-end app will be developed which will communicate with a back-end server. The methods and algorithms developed throughout the PhD could be integrated with the app and server.
Responsibilities and tasks
The project aims at analysing and developing mobility solutions for last-mile transport by using autonomous bus services. This will include, but is not limited to, the following tasks;
- Supply optimisation
- Develop on-demand adaptive routing and scheduling models for autonomous busses.
- Establish smart integration with conventional public transport in order to minimise transfer time.
- Demand exploaration
- Consider the demand for smart mobility solutions in a wider perspective.
- Identification of viable markets and services based on existing survey data.
- Combined model integration
- Integration of different MaaS in simulation models for market predictions.
- Handle uncertainty in demand and supply, for instance by posting expected travel time and a guaranteed maximum travel time.
Qualifications
- A Master’s degree in operations research, transportation engineering, computer science, applied mathematics, or related fields from a recognised university;
- Programming skill (e.g., C++, Java, C#, Python, Matlab, etc.)
- Background in operations research, mathematical modelling, and transportation;
- Good communication skills in English, both written and oral;
- Willingness to engage in group-work a multi-national team and interact with project partners
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.
Assessment
The assessment of the applicants will be made by 31 November 2018.
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 appointment terms
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 is 3 years.
The workplace will be DTU Lyngby Campus.
You can read more about career paths at DTU here.
Further information
For more information, please contact Jeppe Rich, rich (at) dtu.dk, tel.: +45 4525 1536 or Yu Jiang, yujiang (at) dtu.dk, tel. +45 4525 1539.
You can read more about DTU in http://www.dtu.dk. ;
Application
Please submit your online application no later than 1 November 2018 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", 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
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
Candidates may apply prior to obtaining their master's degree but cannot begin before having received it.
Applications and enclosures 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.
DTU Management Engineering contributes actively to the development of management tools and optimization of processes by using and re-thinking theoretical engineering perspectives, models and methods. Through our research and teaching, we ensure an innovative, competitive and sustainable organization and use of technologies within areas such as energy and climate, transportation, production, and health, both domestic and abroad. DTU Management Engineering has 340 employees; including an academic staff of 190 and 68 PhD students. More than 20% of our employees are from abroad and a total of 38 different nationalities are represented at the Department.
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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positionTypeCode: directhire
contractTypeCodes_0: fulltime
Arbejdsgiver Navn: Danmarks Tekniske Universitet
source: DK-STAR
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