PhD: AI-Driven Heat Stress in Cattle Barns

Aarhus University; Aarhus; Hybrid; DKK 360,000 - 480,000; Full time

Job summary

Aarhus University invites applications for a PhD Fellowship/Scholarship in the Civil and Architectural Engineering programme. The project focuses on intelligent heat stress management in cattle barns using an AI agent, starting from 15 January 2027 or later.

The role involves developing an AI agent to detect heat stress and offering actionable guidance to farmers, with a strong state-of-the-art and research plan.

Qualifications

• A MSc degree in engineering, e.g., Mechanical Engineering, Civil and Environmental Engineering, or Energy Engineering.
• Good knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python.
• Understand sensors, actuators, data acquisition, and control systems for monitoring and managing animal environments.
• Highly motivated in design and development of reliable LLM-based agents, integrating APIs and indoor environmental control systems, and translating natural-language and combining real-time and historical data to provide actionable recommendations.
• Strong written and oral communication skills in English.
• Critical thinking ability and excellent problem-solving skills

Responsibilities

• Develop AI-agent to detect heat stress in cattle barns and provide actionable recommendations to farmers.
• Contribute to the design and execution of the research plan and state-of-the-art review.
• Collaborate with supervisors and researchers at Aarhus University to advance the project.

Skills

Ventilation systems

Heat transfer

Fluid dynamics

Machine learning

Data analysis

Python

Sensors

Actuators

APIs integration

LLM agents

English

Education

MSc in engineering (Mechanical/Civil/Environmental/Energy)

Tools

Python

Job description

Aarhus University invites applications for a PhD Fellowship/Scholarship in the Civil and Architectural Engineering programme. The project focuses on intelligent heat stress management in cattle barns using an AI agent, starting from 15 January 2027 or later.

The role involves developing an AI agent to detect heat stress and offering actionable guidance to farmers, with a strong state-of-the-art and research plan.