Post-doc in perception and prediction for safe automated driving

at  Chalmers

Drive the Future of Safe Automated Driving with Cutting-Edge Perception Models!
Join us in advancing automated driving systems (ADS) toward a Vision Zero future, where roads are safer for everyone. We’re leading this revolution in vehicle safety, and we need you—a passionate postdoctoral researcher—to help develop the next generation of perception models that are accurate, efficient, and reliable.
Your mission? Create open-source perception and prediction models that seamlessly integrate with stochastic optimal control and enhance virtual safety assessments. These models may leverage AI, machine learning, and physics-based approaches to transform how autonomous vehicles understand and navigate the world.

QUALIFICATIONS

• A PhD degree in a field relevant to the position is mandatory.
• Extensive experience with programming (for example, Python, Matlab, and/or C++).
• Good writing and oral skills in English.
• You should be comfortable with and good at interacting with others in international projects (across organizations).
• You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

If you have experience of working with sensor modeling, vehicle dynamics and sensor data (specifically time-series data), and/or experience with pre-crash virtual safety assessment, that is highly meritorious.

• To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). 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.

Knowing Swedish is not a requirement but Chalmers offers Swedish courses.

• Conduct pioneering research on sensor perception modeling for virtual and ADS development.
• Publish high-quality papers and present your findings at international conferences.
• Collaborate across departments and with industry stakeholders to push the boundaries of perception and prediction technology.
• Participate in teaching within educational programs related to the project.
• Engage with both academic and industrial partners to ensure the broader impact of your research.