Industrial PhD Student
Core
Conduct doctoral research on safety assurance methods for AI-based autonomous driving systems in heavy-duty vehicles.
Role type
Industrial PhD Student (Safety Assurance & Control Theory)
Builds
Verified planning and control methods for heavy-duty vehicle autonomous driving systems
Domain
Heavy-duty vehicle engineering, autonomous driving, control theory, optimization, machine learning
Deliverable
production ML models | research
Required skills
Mathematical foundations, programming (Python, C++, MATLAB/Simulink), machine learning, motion planning, control theory, optimization, safety assurance methods, vehicle modeling
Preferred skills
ROS, scientific writing, peer-reviewed publications, research project experience
Technologies
Python, C++, MATLAB/Simulink, ROS
Responsibilities
Conduct doctoral research on safety assurance methods; Develop and research methods to ensure AI-generated driving behavior remains safe; Design, implement, and evaluate algorithms using simulation and scenario-based testing; Collaborate with researchers and engineers from TRATON and KTH; Publish scientific results at leading conferences and journals; Participate in doctoral courses and seminars
Seniority
PhD Candidate, Researcher