PhD scholarship in Transport, Machine Learning and Virtual Reality at DTU Management, Technical University of Denmark, Denmark 2022
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. Specifically, we seek applicants with a master's degree in transport, mathematics, statistics, computer science, economics, psychology, human factors, civil engineering, industrial engineering or a related discipline. We are looking for an ambitious, self-organized individual with strong project management and communication skills. Applicants should have experience in some, but not necessarily all, of the following areas: mathematical modelling, statistics, machine learning, artificial intelligence, design and implementation of virtual reality experiments, data collection and analysis. Proficient English language skills as well as programming skills in Python, Julia, R or similar are also required. Knowledge of a general-purpose programming language like C, C++ or Java is an advantage but is not essential.
We offer one PhD scholarship in Transport, Machine Learning and Virtual Reality. The PhD project aims to develop and test a new generation of mathematical models for explaining and predicting human behavior in urban environments in interactions with autonomous future transportation technologies such as self-driving cars and last-mile delivery robots. In the project, you will first formulate new mathematical models for explaining and predicting the choices of pedestrians and cyclists during interactions with autonomous transportation technologies by integrating methods from econometrics and computational cognitive psychology. Then, you will design, implement and conduct virtual reality experiments to apply the proposed models. The project is a strategic collaboration between the Technical University of Denmark (DTU) and its alliance partner, the Norwegian University of Science and Technology (NTNU). The PhD study is under the DTU-NTNU double degree framework agreement, which offers the opportunity to receive PhD diplomas from both DTU (home institution) and NTNU (host institution). To satisfy the requirements of the double degree program, you are expected to spend a minimum of one year at each institution. You will be a member of the Machine Learning for Smart Mobility section of the Transport division at the Department for Technology, Management and Economics (DTU Management) at the Technical University of Denmark (DTU). You will work under the supervision of Professor Francisco Pereira and Assistant Professor Rico Krueger. The virtual reality experiments will be designed, implemented and conducted under the supervision of Associate Professor Xiang Su from the Department of Computer Science at the Norwegian University of Science and Technology (NTNU). Responsibilities Your primary tasks will be to
- Develop mathematical models for explaining and predicting the behaviors of pedestrians and cyclists in interactions with autonomous transportation technologies such as self-driving vehicles and last-mile delivery robots,
- Formulate and test estimators for parameter inference in the proposed models using advanced statistical and computational approaches, including Bayesian methods and other simulation-assisted techniques,
- Design, implement and conduct immersive and augmented virtual reality experiments using state-of-the-art soft- and hardware,
- Analyse the collected data using the newly developed models and other state-of-the-art methods,
- Write academic papers aimed at high-impact journals,
- Participate in international conferences and workshops,
- Disseminate research results and teach as part of the overall PhD education.
How to Apply?Application Method: online_applicationRef. No. -
Your complete online application must be submitted no later than 17 December 2022 (Danish 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 (in English) including official description of grading scale
Note or Other detailsApproval 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 programs of DTU and NTNU. For information about the general requirements for enrollment and the general planning of the scholarship studies, please see the DTU and NTNU PhD Guides. Assessment The review of applications will begin on 18 December 2022. 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 starting date is 1 March 2023 or later (by agreement). You can read more about career paths at DTU here. You can read more about DTU Management at www.man.dtu.dk/english. 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.
Further information about the position may be obtained from Assistant Professor Rico Krueger ([email protected]).