Data modelling and Mathematical modelling – PhD position – Understanding bicyclist’s safety and behaviour from crowdsourced sensor data, at DTU Management, Technical University of Denmark
Deadline to Apply
June 15, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Data modelling|
– Mathematical modelling
– Applied mathematics
– Computer science
|Scholarship||According to standard norms|
Technical University of Denmark
|Contract Period||3 Years|
Specifically, we are looking for excellent applicants with a MSc background in transportation, applied mathematics, statistics, computer science, geosciences or related.
We expect that you have the interest and ambition to pursue PhD studies, and experience in working with data and mathematical modelling.
Your overall focus will be to utilize large-scale sensor data from several sources in order to improve methods and data foundation for analysis and modelling of various issues related to bicycling. You will work with scholars with expert knowledge within various aspects of the field, with focus on developing large-scale applicable methods and gaining behavioural insights from large-scale data sources. You will be rooted in the Network Modelling group, which is a part of the Division of Transport, Department of Management. The Division also consists of research groups within transport demand, machine learning for smart mobility, transport economics and transport psychology. You will be part of an increased effort in bicycle research together with other PhD students and staff in the division. In particular, you will address the following main topics, with the possibility to adapt to your research interests:
- Detection and modelling of near accidents: Exploration and statistical analyses of the location and traffic-related circumstances of near-accidents by using accelerometer data and both classical crash frequency/severity models as well as novel methods.
- Tracking data and route choice: Estimate state-of-the art route choice models containing a detailed set of explanatory variables facilitated by very large trajectory data sources.
- Modelling of operational bicycle behaviour: Develop and evaluate behaviour models for bicycle traffic (e.g. how intersections are traversed) for implementation in microscopic traffic simulation utilizing detailed behaviour data.
How to Apply?
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
- 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)
About DTU Management
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. The department’s research is divided in four divisions: Innovation, Management Science, Sustainability and Transport. Furthermore, the department hosts a UN Collaborating Centre. The UN DTU Partnership conducts research, policy analysis and advising on a global scale.The department offers a wide range of courses and programs at BSc, MSc, and PhD level across DTU’s study programs. DTU Management employs about 320 people. We offer an international environment with around 50 different nationalities represented at the department.
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. This include among other a highly attractive salary scheme and other benefits, see Salary – PhD students. The allowance will be agreed upon with the relevant union
Professor Otto Anker Nielsen
Associate Professor Anders Fjendbo Jensen
Associate Professor Thomas Kjær Rasmussen
Post expires at 8:59am on Wednesday June 16th, 2021 (GMT+9)