Master's thesis: Agentic Digital Twins for Energy-Efficient Software-Defined Vehicles
Teknik, data och digitalt · Data, AI och analys · Artificiell intelligens · Datavetenskap · Mjukvaruutveckling
I korthet
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.
Ansvarsområden
- 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.
Krav
- Enrolled in a master's programme in a field related to computer science and engineering at a Swedish university.
Önskade kvalifikationer
- 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.
Förmåner
- 10.000 SEK upon successful completion of the thesis.
#AI#digital twins#energy efficiency#software-defined vehicles#automotive#master thesis#Sweden
Företag
RISE Research Institutes of Sweden
Publicerade jobb
för 3 dagar sedan
Anställningstyp
Praktik
Arbetsform
Hybrid
Erfarenhetsnivå
Junior
Platser
Gothenburg, Sweden
Kvalifikation
Masterexamen
Sökande
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