Aarhus University
4 days ago
PhD Fellowship/Scholarship in Intelligent Heat Stress Management in Cattle Barn Using an AI Agent Aarhus University in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Oct 14, 2026
Country
Denmark
University
Aarhus University
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About this position
PhD Fellowship/Scholarship opportunity at Aarhus University, Denmark, in the Graduate School of Technical Sciences, within the Civil and Architectural Engineering programme.
The project is titled Intelligent heat stress management in cattle barn using an AI agent. It focuses on an important livestock and building-environment challenge: detecting heat stress in cattle early enough to intervene before barn conditions deteriorate, and then providing farmers with clear, practical, actionable recommendations. The research aims to design and develop an AI agent that combines real-time and historical data, natural-language reasoning, and indoor environmental control to support better animal welfare and barn management.
The topic sits at the intersection of agriculture, environmental monitoring, civil and architectural engineering, mechanical engineering, and computer science. The description highlights research in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, sensor and actuator systems, data acquisition, and control systems for animal environments. The candidate is expected to be especially motivated to work on reliable LLM-based agents, APIs, and decision-support tools that can translate complex environmental data into practical recommendations for farmers.
Applicants are asked to prepare a 2–3 page project description covering a sound state-of-the-art overview, key tasks, and a research plan. The position requires an MSc degree in engineering, such as Mechanical Engineering, Civil and Environmental Engineering, or Energy Engineering. Strong English communication skills, critical thinking, problem-solving ability, and relevant technical background are emphasized.
The place of employment is Aarhus University, and the place of work is Inge Lehmanns Gade 10, 8000 Aarhus C, Denmark. The position is available from 15 January 2027 or later. The application deadline is 14 October 2026 at 23:59 CEST.
How to apply: submit the application via the online application form linked in the posting. Only applications and documents received before the deadline will be evaluated, and shortlisting may be used. Further information can be obtained from the named supervisors or the graduate school contact email.
Funding information is not specified in the posting, but the role is explicitly described as a PhD Fellowship/Scholarship and salary/terms of employment follow the applicable collective agreement.
Funding details
Available
What's required
Applicants must have an MSc degree in engineering, such as Mechanical Engineering, Civil and Environmental Engineering, or Energy Engineering. They should have good knowledge of building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding, for example Python. Knowledge of sensors, actuators, data acquisition, and control systems for monitoring and managing animal environments is required. The candidate should be highly motivated to design and develop reliable LLM-based agents, integrating APIs and indoor environmental control systems, and translating natural language together with real-time and historical data into actionable recommendations. Strong written and oral communication skills in English are required, along with critical thinking and excellent problem-solving skills.
How to apply
Submit the application through the online Apply button at the provided application link. Prepare the requested 2–3 page project description including a state-of-the-art, key tasks, and a research plan, and upload all required documents before the deadline. Late documents will not be considered.
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