Information about the project
We are offering a position as a PhD student in the field of modelling road user behaviour in interaction with automated vehicles. This position is one of 15 PhD-students to be recruited across six universities in Europe to be part of a Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN), funded by the European Commission.
This position is part of the Crash Analysis and Prevention (CAP) unit within the Vehicle Safety division (Department of Mechanics and Maritime Sciences). In the Vehicle Safety division and CAP, researchers conduct world-leading research on topics related to traffic safety. The mission of the unit is to understand why crashes happen and how they can be prevented. This includes understanding crash causation mechanisms related to the road-user behavior as well as (e.g., automated) vehicle and environment factors. We leverage on a deep understanding of these strategies to build effective driver support, active safety, and vehicle automation. We evaluate these strategies using conceptual and mathematical models developed with naturalistic and experimental data. The research group has strong ties to the Swedish automotive industry and participates in national and international projects (EU, US and Japan).
We teach courses in the master’s program in Automotive Engineering at Chalmers University on both the technical and behavioral aspects of traffic safety, active safety systems, and vehicle automation. Student projects at the Master's and Doctoral level are also conducted at CAP.
The overall goal of this 15 student PhD-project, called SHAPE-IT, is to enable rapid and reliable development of safe and user-centered automated vehicles (AVs) for urban environments. Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes to integrate automation in transport have been primarily technology-focused, with insufficient consideration given to how users both inside and outside of the AVs will interact with AVs.
The main objective of SHAPE-IT is to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centered and transparent AVs into tomorrow’s mixed urban traffic environments, using both existing and new research methods, designing advanced interfaces and control strategies.
The project aims to deliver a future generation of human factors researchers and engineers with an excellent multidisciplinary (cognitive and behavioral psychology, computer science, and engineering) education.
Specifically, this PhD candidate will expand previous research within CAP on modelling for road-user interaction. Building on state-of-the-art methods for modelling human behaviour, this PhD candidate will investigate how cyclists communicate their intentions in traffic, and which cues they use to predict the behaviour of other road-users and to communicate their intent. This will include modelling cyclist behaviour, to enable AVs to predict cyclist intent, enabling AVs to meet human expectations and not transgressing human comfort boundaries.
The research will be conducted in close collaboration both with the other 14 PhD students in the SHAPE-IT project, and with senior researchers at Chalmers and the other universities involved in SHAPE-IT. The position includes 2-3 longer (1-3 months long) secondments/visits to both industry and other universities. During SHAPE-IT all 15 PhD candidates will join several project wide training activities, covering multiple aspects of the design and assessment of automated vehicles, including human factors and artificial intelligence, in the context of automated vehicles1.
We strongly encourage female applicants to all of these multi-disciplinary research positions, where working together and sharing knowledge and experience across a diverse group of people is fundamental to reach the project goals to build a future of safe and trusted vehicle automation in cities.
Your major responsibilities as a PhD student is to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing (primarily in English, but at the end of your studies, also at least orally in Swedish). Your research will be supervised by well-reputed senior researchers at the involved department. The PhD studies also includes a number of doctoral courses, reviewing literature, interacting with both industrial companies and other PhD-candidates and senior researchers in the SHAPE-IT project, as well as analysing empirical data, and modeling and using models of human behavior.
As part of SHAPE-IT you are expected to collaborate with other PhD-students in the project, and providing project level training for the other PhD-students on safety assessment methods.
The position generally also includes teaching on Chalmers' undergraduate level or performing other departmental duties corresponding to up to 10 percent of working hours.
The position is a full-time temporary employment limited to a maximum of 4.5 years.
To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field. The position requires sound verbal and written communication skills in English.
The applicants must, at the date of recruitment, be in the first four years (full-time equivalent research experience) of their research careers (counted from being awarded the MSc degree) and have not been awarded a doctoral degree.
A suitable applicant should be able to work independently, be creative, and look at technical issues as an opportunity to learn new skills. You should have an interest in human behavior and modelling, be a proficient programmer, be able to collaborate and work in a multidisciplinary and international environment. We look for an open minded, self-driven candidate with excellent analytical abilities and a passion for understanding how human behaviour and technology work together.
A Bachelor or Master thesis including courses in any of the following areas is meritorious: statistics, active safety, human behavior modelling, crash analysis. It is meritorious with programming skills in multiple languages, experience in developing systems based on single board computers, experience from cycling safety projects.
Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
Our offer to you
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The application should be marked with Ref 20190378 and written in English. The application should be sent electronically and be attached as pdf-files, as below:
CV: (Please name the document: CV, Family name, Ref. number)
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus
• Highlight your relevant experience for this particular position, and your motivation for applying
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).
Application deadline: 15 August 2019
For questions, please contact:
Marco Dozza, email@example.com
Jonas Bärgman, firstname.lastname@example.org
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
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