PhD Fellowship: AI-augmented Pig Heat Stress Modelling

Technical Sciences - Institut for byggeri og Bygni; Denmark; On-site; DKK 320,000 - 420,000; Full time

Job summary

A PhD fellowship at Aarhus University will develop a physics-informed digital model for predicting and mitigating heat stress in pigs. Building on mechanistic and AI approaches, the project will explore real-time data integration and how LLMs can assist interactive exploration of model predictions.

The research will be conducted within the Department of Civil and Architectural Engineering, under the supervision of senior academics.

Qualifications

• MSc degree in Mechanical Engineering, Civil Engineering, Electrical Engineering, Applied Mathematics, or related field.
• Strong background in HVAC systems in buildings and fluid/thermal modelling.
• Proven experience in data analytics, machine learning, and optimisation.
• Ability to program using Python, R, MATLAB or similar platforms.
• Strong analytical and problem-solving skills.
• Ability to work independently as well as collaboratively in interdisciplinary teams.
• Excellent written and spoken English skills.

Skills

Data analytics

Machine learning

Optimization

Python

R

MATLAB

English proficiency

Team collaboration

Education

MSc in Mechanical Engineering

MSc in Civil Engineering

MSc in Electrical Engineering

Applied Mathematics MSc

Tools

Python

R

MATLAB

CFD simulations

Job description

A PhD fellowship at Aarhus University will develop a physics-informed digital model for predicting and mitigating heat stress in pigs. Building on mechanistic and AI approaches, the project will explore real-time data integration and how LLMs can assist interactive exploration of model predictions.

The research will be conducted within the Department of Civil and Architectural Engineering, under the supervision of senior academics.