PhD Monitor
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Engineering and Computer Science● OpenPreview

PhD Fellowship in Intelligent Heat Stress Management in Cattle Barns Using AI Agents

Develop an AI-driven agent to detect early-stage heat stress in cattle and provide actionable interventions for farmers.

Best for:Engineers with a background in building systems, machine learning, and a passion for agricultural technology.

Aarhus University · Aarhus, Denmark · R1 · First-stage researcher
More professors at Aarhus University
AI AgentsHeat Stress DetectionPrecision AgricultureBuilding Ventilation SystemsEnvironmental Control SystemsMachine Learning
Deadline
Oct 14, 2026
Expired
Funding
Salaried
Salary in accordance with applicable collective agreement
Start date
2027-01-15
Full-time
Location
Aarhus
Denmark

Overview

Aarhus University invites applications for a PhD fellowship within the Department of Civil and Architectural Engineering. The project focuses on the intersection of artificial intelligence and agricultural technology, specifically aiming to design an AI agent capable of early heat stress detection in cattle barns. The successful candidate will integrate real-time sensor data with historical records to provide farmers with practical, actionable recommendations. This role requires a strong background in engineering, machine learning, and environmental control systems. The position is based in Aarhus, Denmark, and is expected to commence in January 2027.

PhDArtificial IntelligenceCattle FarmingSmart FarmingData AnalysisPythonSensorsAarhus University

What you'll do

  • Design and develop an AI agent for the early detection of heat stress in cattle barns.
  • Integrate real-time sensor data and historical datasets to generate actionable recommendations for farmers.
  • Develop and implement building ventilation and environmental control strategies.
  • Prepare a comprehensive 2-3 page project description including state-of-the-art review and research plan.
  • Collaborate with supervisors to refine research tasks and project milestones.
  • Communicate research findings effectively through written reports and oral presentations.

Requirements

Degree required: MSc degree in Mechanical, Civil, Environmental, or Energy Engineering.

Degree offered: PhD

Language: Strong written and oral communication skills in English.

Instruction: English

Required skills
  • Proficiency in Python programming and data analysis.
  • Knowledge of building ventilation systems, heat transfer, and fluid dynamics.
  • Experience with sensors, actuators, and data acquisition systems.
  • Understanding of control systems for animal environment management.
  • Strong critical thinking and problem-solving capabilities.
Nice to have
Experience in developing LLM-based agents.Experience integrating APIs with environmental control systems.Familiarity with translating natural language into actionable data insights.
Eligibility
  • Must hold a relevant MSc degree by the start date.

Funding & terms

Type
Salaried
Amount
Salary in accordance with applicable collective agreement
Duration
3 years
Programme
Aarhus University
Aarhus University

How to apply

Deadline: 2026-10-14 (Europe/Copenhagen)

Interested candidates should submit their application via the official university portal by clicking the 'Apply' button. Ensure all mandatory documents are attached, as only those received before the deadline will be evaluated.

Documents required
  • Project description
  • CV
  • MSc transcripts
  • Cover letter
↗Apply on site

Contact

Li Rong· Main Supervisor

li.rong@cae.au.dk

LR
Prof.
Li Rong
Graduate School of Technical Sciences
Lab
Department of Civil and Architectural Engineering
Aarhus University
Denmark
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