PhD Opportunity in Denmark: Genetic Improvement of Dairy Cow Longevity Using AI-Camera Body Weight Data
Aarhus University (Graduate School of Technical Sciences) — Applications Open Until 4 January 2026
Aarhus University, Denmark — one of Europe’s leading institutions in livestock genetics — has re-advertised a fully funded PhD fellowship in the Quantitative Genetics & Genomics Programme, focusing on artificial intelligence, advanced phenotyping, and dairy cow longevity.
Thank you for reading this post, don't forget to subscribe!Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera System (Long Live the Dairy Cow)
Project Overview
This project uses the CowFIT 3D AI-camera system, which records body weight data from over 30,000 dairy cows, combined with the Danish Cattle Database to develop advanced breeding and management tools for sustainable dairy farming.
- Improve longevity and productive lifespan of dairy cows
- Model calving weight, maturity, and energy balance
- Advance genomic accuracy for traits such as longevity, Saved Feed, and functional traits
- Use AI, statistical modelling, and genetic software tools
Eligibility Criteria
- Master’s degree (120 ECTS) in Animal Breeding/Genetics or related field
- Experience with R, SAS, Python, Unix Shell
- Knowledge of genetic software (DMU, F90, AIREML)
- Strong English writing and communication skills
- Experience with livestock datasets (advantage)
Place of Employment
Aarhus University, C.F. Møllers Allé 3, Building 1130, 8000 Aarhus C, Denmark.
Supervisors & Contact
Main Supervisor: Assoc. Prof. Emre Karaman —
emre@qgg.au.dk
Co-Supervisor: Postdoc Rasmus Bak Stephansen —
rasmus.stephansen@qgg.au.dk
Application Queries:
admission.gradschool.tech@au.dk
Important Dates
- Application Deadline: 4 January 2026 (23:59 CET)
- Preferred Start Date: 1 March 2026
Note: Applicants must upload the project description. You may copy the same description provided in the official advertisement and upload it as a PDF.