Approximately one in four of all e-scooterists seeking medical care after a crash is intoxicated. Further, In Sweden, 20% of the cyclists who die in traffic have alcohol above the permitted level. We have the technology to prevent these crashes with intelligent applications. However, for this technology to deliver the expected benefits we need to understand the behaviour of intoxicated riders and teach machines how to recognize it. Would you like to help us out saving cyclist and e-scooterist lives? Information about the division and the department In the Vehicle Safety Division at the Department of Mechanics and Maritime Sciences we apply human factors and engineering to better understand the safety problem, find solutions, and assess the impact of both problems and solutions on safety. Specifically, within the research area of road user modelling, we develop computational model that may support intelligent applications and automated driving. Within the micromobility group, the research activities range from computational modeling of rider and driver behavior to how to integrate such models into intelligent and communication systems. This post-doc position will focus on modelling of cyclists and e-scooterist behaviour to support active safety applications. Our mission is to understand why crashes happen and how they can be prevented, with a special focus on technological solutions. Our research is at the border between human factors and engineering and leverages a large network of transport stakeholders, including road authorities (e.g., Trafikverket), industry (e.g., Bosch), insurance agencies (e.g., Folksam), and municipalities (e.g., Göteborg Stad). Major responsibilities You will be devoted to micromobility research and specifically to running experiments, performing data analysis, and writing up results about intoxicated riding. We foresee large experiments with a motion analysis system, where intoxicated (and not intoxicated) participants will ride bicycles and e-scooters and perform different avoidance maneuvers. These experiments will be the basis to gather data for modeling road user behaviour and devise predictive models that may help machines understand human behaviour and prevent intoxicated riders to cause harm to themselves or other road users. Supervision and co-supervision of master and PhD students will also be part of your responsibilities. A small amount of teaching is also envisioned. Presenting research results in oral and written form is fundamental for this position to make sure results from the experiments are properly disseminated. Finally, you will also support writing new research grants on micromobility and intoxicated riding for different national and international sponsors. Qualifications To qualify for this position you: • must hold a doctoral degree in engineering by the time the position starts, and awarded no more than three years prior to the application deadline, Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service*. • must have excellent knowledge of the English language (both oral and written). • must have extensive experience in programming (e.g., Python) and modeling human behaviour. • must have experience in planning and running controlled experiments, including participants recruitment, preparation of applications for ethical approval, and data collection in a laboratory set-up. Project work and work experience in the following domains is meritorious: a) computational rider modeling, b) work with time-series behavior data, c) micromobility safety. As the work will be conducted in a highly multi-cultural and multi-disciplinary environment, cultural awareness and good collaboration and communication skills are fundamental. It is equally important that you are quality-conscious and a problem solver. As a post-doctoral fellow you also have to be responsible, creative, and curious. * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree. Contract terms This postdoc position is a full-time temporary employment for two years. We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.  Read more about working at Chalmers and our benefits for employees. Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with 20240322 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV: (Please name the document as: CV, Surname, Ref. number) including: • CV, include complete list of publications • Previous teaching and pedagogical experiences • 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 Other documents: • Attested copies of completed education, grades and other certificates. Use the button at the foot of the page to reach the application form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Application deadline: 31 Aug, 2024  For questions, please contact: Prof., Marco Dozza, Vehicle Safety Email: [email protected] Phone: +46-31-772 36 21 Prof. Mats Svensson, Vehicle Safety Divison Email: [email protected] Phone: +46-31-772 36 44