PhD Fellowship: Genetic Improvement: Aarhus University invites applications for a PhD fellowship focusing on the genetic improvement of dairy cow longevity. This research utilizes large-scale body weight data collected from an innovative AI-camera system.
PhD Fellowship: Genetic Improvement of Dairy Cow Longevity Using Large-Scale Body Weight Data from an AI-Camera System (Long Live the Dairy Cow)
Designation
PhD Fellowship
Table
| Details | Information |
|---|---|
| Research Area | Quantitative Genetics and Genomics |
| Location | Aarhus University, Denmark |
| Eligibility | Master’s degree in a relevant field |
| Application Deadline | 30 September 2025 at 23:59 CEST |
Research Area
This fellowship is housed within the Center for Quantitative Genetics and Genomics (QGG) at Aarhus University, focusing on cattle breeding research with an emphasis on genetic studies derived from advanced phenotyping technologies.
Location
C.F. Møllers Allé 3, Bldg. 1130, 8000 Aarhus C, Denmark
Eligibility/Qualification
- Relevant Master’s degree (120 ECTS) with experience in Animal Breeding.
- Proficiency in data handling software (e.g., R, SAS, Python, Unix Shell).
- Experience with genetic software (e.g., DMU, F90, AIREML) is advantageous.
- Background in livestock data is a plus.
- Fluency in spoken and written English is mandatory.
Description
The PhD project aims to leverage extensive phenotypic data generated by the CowFIT 3D camera system, along with additional phenotypes from the Danish Cattle Database. The objective is to develop management and genetic tools that enhance the productive lifespan and efficiency of dairy cows, contributing to sustainable agriculture in Denmark. The project will utilize advanced statistical methods and cutting-edge genetic models, focusing on traits such as calving weight, energy balance, and other management traits.
How to Apply
Applicants can submit their applications via the application link. A project description (copied from above) must be uploaded in PDF format as part of the application.
Last Date to Apply
30 September 2025 at 23:59 CEST
For more information, applicants may contact Associate Professor Emre Karaman at emre@qgg.au.dk or PostDoc Rasmus Bak Stephansen at rasmus.stephansen@qgg.au.dk.
