Master's thesis: Agentic Digital Twins for Energy-Efficient Software-Defined Vehicles
Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Data Science · Software Engineering
In short
This master's thesis project focuses on developing and evaluating an agentic digital twin framework for optimizing energy efficiency in Software-Defined Vehicles (SDVs). The research will involve modeling agency, designing multi-agent systems for optimization, and incorporating human-in-the-loop mechanisms. The goal is to create a prototype demonstrating collaborative optimization between AI agents, digital twins, and human experts.
Responsibilities
- Model external, internal, and distributed forms of agency within agentic digital twins for SDVs.
- Design and evaluate a multi-agent system that analyzes vehicle operational data and software to identify optimization strategies for energy efficiency.
- Incorporate human-in-the-loop mechanisms for validation, governance, and decision-making support.
Requirements
- Enrolled in a master's programme in a field related to computer science and engineering at a Swedish university.
Desired Qualifications
- Having already completed AI-related courses and/or gained work experience with AI/ML is an advantage.
- Knowledge of digital twins or system modeling is also an advantage.
Benefits
- 10.000 SEK upon successful completion of the thesis.
#AI#digital twins#energy efficiency#software-defined vehicles#automotive#master thesis#Sweden
Company
RISE Research Institutes of Sweden
Job Posted
3 days ago
Employment Type
Internship
WorkMode
Hybrid
Experience Level
Entry
Locations
Gothenburg, Sweden
Qualification
Master
Applicants
Be an early applicant