Several positions

MexicoDev; Aarhus; Hybrid; DKK 320,000 - 350,000; Full time

Job summary

Aarhus University’s A3 Lab is hiring a Three-year PhD position in Physical AI; onsite in Aarhus, Denmark. Topics include vision-language-action models, world models, reliable adaptation and efficient AI, and RL.

Prerequisites include a relevant master’s degree and strong Python/PyTorch experience. Deadline is 1 November 2026 with a start in January 2027 or later.

Qualifications

• Master’s degree in a relevant field and strong Python/PyTorch experience.
• Experience with vision-language-action models and RL is advantageous.
• Deadline: 1 November 2026; Start: January 2027 or later.

Responsibilities

• Conduct research and work on topics: vision-language-action models, world models, reliable adaptation and efficient AI, RL.
• Collaborate with supervisors at the A3 Lab for project development and dissemination.

Skills

Python

PyTorch

Vision-language-action models

Reinforcement learning

Education

Master's degree

Job description

• Specific responsibilities · Some concrete projects, systems or problems the hire will work on. "Topics: Vision-language-action models, world models, reliable adaptation and efficient AI, RL.Background: Relevant master’s degree and strong Python/PyTorch experience."
• Transparency · Two of pay, hiring process or team are described. "I lead the A3 Lab at Aarhus University and are hiring a Three-year PhD in Physical AI; onsite in Aarhus, Denmark."
• Stated working conditions · One working condition is stated. "I lead the A3 Lab at Aarhus University and are hiring a Three-year PhD in Physical AI; onsite in Aarhus, Denmark."

Based only on the posting text; anything it does not mention is left unrated.

I lead the A3 Lab at Aarhus University and are hiring a Three-year PhD in Physical AI; onsite in Aarhus, Denmark. Topics: Vision-language-action models, world models, reliable adaptation and efficient AI, RL. Background: Relevant master’s degree and strong Python/PyTorch experience. Deadline: 1 November 2026. Start: January 2027 or later.