Postdoc: AI for Energy-Efficient EV Fleet Coordination

Chalmers University of Technology; Göteborgs kommun; On-site; SEK 489,502 - 652,670; Full time

Benefits offered by this job

Access to parental leave

Subsidised day care

Free schools and healthcare

Job summary

Chalmers University of Technology is seeking a post-doc to develop advanced machine learning methods for energy-efficient coordination of electric vehicle fleets during emergencies. The role entails significant research responsibilities and collaboration in a dynamic environment.

The position requires a doctoral degree in a related field and offers access to Sweden's generous benefits, including healthcare and parental leave. This is a full-time role for two years, starting January 1, 2027.

Qualifications

• Strong research experience in AI and machine learning with publications in top tier venues.
• Strong programming skills, preferably in Python and PyTorch.
• Good written and verbal communication skills in English.

Responsibilities

• Develop advanced machine learning models for EV fleet coordination.
• Publish high-quality scientific papers.
• Supervise master’s and PhD students.

Skills

AI and machine learning

Python programming

Communication skills (English)

Education

Doctoral degree in computer science or related field

Tools

PyTorch

Job description

Chalmers University of Technology is seeking a post-doc to develop advanced machine learning methods for energy-efficient coordination of electric vehicle fleets during emergencies. The role entails significant research responsibilities and collaboration in a dynamic environment.

The position requires a doctoral degree in a related field and offers access to Sweden's generous benefits, including healthcare and parental leave. This is a full-time role for two years, starting January 1, 2027.