Agentic Digital Twins for Energy-Efficient SDVs — Thesis

RISE Research Institutes of Sweden; Göteborgs kommun; On-site; SEK 100,000 - 123,000; Full time

Job summary

RISE Research Institutes of Sweden invites a Master’s thesis candidate to explore agentic digital twins for energy-efficient SDVs. The project focuses on modeling agency forms, integrating AI agents with digital twins, and enabling human-in-the-loop validation to guide decision-making.

The work targets energy efficiency improvements, battery utilization, and charging strategies within SDV operation, with supervision by RISE researchers in Gothenburg.

Qualifications

• Currently enrolled in a Swedish university master's program.
• Prior AI/ML coursework or experience is an advantage.
• Knowledge of digital twins or system modeling is advantageous.

Responsibilities

• Model external, internal, and distributed agency forms within agentic digital twins for SDVs.
• Design and evaluate a multi-agent system that analyzes vehicle data and software to identify energy-efficiency strategies.
• Incorporate human-in-the-loop validation, governance, and decision-making support.

Skills

AI/ML knowledge

Digital twins

Multi-agent systems

AI coursework

Education

Master's program in CS/Engineering (Sweden)

Job description

RISE Research Institutes of Sweden invites a Master’s thesis candidate to explore agentic digital twins for energy-efficient SDVs. The project focuses on modeling agency forms, integrating AI agents with digital twins, and enabling human-in-the-loop validation to guide decision-making.

The work targets energy efficiency improvements, battery utilization, and charging strategies within SDV operation, with supervision by RISE researchers in Gothenburg.