项目介绍

2025年4月18日

To fully benefit from automated vehicles (AVs), they must be both safe and appreciated by drivers. This post-doc is to use modeling (e.g., AI/machine learning) and behavior data to predict perceived safety and quantify drivers’ comfort zone boundaries. This multidisciplinary research at the intersection of behavior, engineering, and AI aims to provide the automotive industry with tools to make AVs more appreciated and safer.

About us
In the Crash Analysis and Prevention team at the Vehicle Safety Division, Department of Mechanics and Maritime Sciences, we combine behavioral science, technology, and AI to enhance vehicle technology for people. We aim to improve traffic safety by studying and modeling human behavior, developing solutions, and assessing their impact. Our projects include computational behavior modeling, vehicle automation, crash causation, and micromobility. We collaborate with Swedish industry (e.g., Volvo) and international stakeholders (EU projects; academia, industry). We offer an inclusive, excellent work environment for learning and collaboration towards safer traffic.

Project overview
In this project, which is funded by Chalmers Area of Advance Transport and with Swedish automotive industry stakholders, we will perform computational modeling of perceived safety and comfort zone boundaries based on in-project data collection from drivers. The modeling will be both rule- and machine-learning/AI based. The aim of such modeling is to improve drivers’ experience of autonomous driving systems and driver support systems, while improving the systems’ safety performance.

Your profile
We seek candidates with the following qualifications:

You should have a PhD in engineering (e.g., mechanical, biomedical, or electrical) or human factors with an engineering focus. You must possess strong programming skills in Python. Experience in human behavior research, computational behavior modeling, and AI/machine learning methods for time-series analysis is advantageous. Particularly valuable is experience in collecting human behavior data through empirical experiments.

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline. 

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

* 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. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service.

What you will do
You will primarily conduct research within a specific project, including data collection from human participants and computational modeling of perceived safety and comfort zone boundaries. You will lead a project work package and frequently interact with other project partners. Additionally, you will likely teach approximately 10% in Chalmers Mobility Engineering MSc program. You are expected to publish several peer-reviewed articles in high-impact journals.

What we offer
Chalmers provides 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.

If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.

Contract terms
This postdoc position is a full-time temporary employment for two/three years.

Application Procedure
Please submit your application in English as PDF files according to the instructions below. Each file should not exceed 40 MB. Note: The system does not support Zip files.

1. CV
Name the document as: CV, [Your Surname]. Include the following:

• A comprehensive CV, including a complete list of publications.
• Details of previous teaching and pedagogical experience.
• Contact information for two references.

2. Personal Letter
Name the document as: Personal Letter, [Your Surname]. Limit the letter to 1–3 pages and include:

• A brief introduction about yourself.
• A summary of your previous research fields and key research outcomes.
• An outline of your future goals and research focus.

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:  May 20, 2025

For questions please contact:

Prof., Jonas Bärgman, Vehicle Safety Division
Email: jonas.bargman@chalmers.se
Tel: +46-31-772 5846

Prof. Mats Svensson, Vehicle Safety Division
Email: mats.svensson@chalmers.se,
Tel: +4631-772 3644

Researcher, Jordanka Kovaceva, Vehicle Safety Division,
Email: jordanka.kovaceva@chalmers.se,
Tel:+46-31-772 1266