AI-Driven Heat Stress Management in Cattle Barns (PhD)

Technical Sciences - Institut for byggeri og Bygni; Denmark; On-site; DKK 300,000 - 360,000; Full time

Job summary

Aarhus University in Denmark invites applications for a PhD fellowship within Civil and Architectural Engineering. The project focuses on designing an AI agent to detect heat stress early in cattle barns and to provide actionable recommendations to farmers.

The position starts 15 January 2027. Applicants should hold an MSc in engineering with strong ML and data analysis skills and proficient English, and are expected to prepare a 2–3 page project description outlining state-of-the-art, key

Qualifications

• MSc in engineering or closely related field.
• Strong knowledge of ML, data analysis, and Python.
• English communication skills required.

Responsibilities

• Design and develop an AI agent to detect heat stress in cattle barns.
• Develop algorithms and integrate data from sensors and control systems.
• Provide actionable recommendations to farmers based on results.

Skills

Strong written and oral communication

Machine learning

Data analysis

Python coding

Critical thinking

Problem solving

Team collaboration

Education

MSc degree in engineering

Tools

Python

Job description

Aarhus University in Denmark invites applications for a PhD fellowship within Civil and Architectural Engineering. The project focuses on designing an AI agent to detect heat stress early in cattle barns and to provide actionable recommendations to farmers.

The position starts 15 January 2027. Applicants should hold an MSc in engineering with strong ML and data analysis skills and proficient English, and are expected to prepare a 2–3 page project description outlining state-of-the-art, key