M.Sc. - Evaluation and modeling of livestock rumination patterns in dairy cattle
Position: M.Sc. - Evaluation and modeling of livestock rumination patterns in dairy cattle
OAC Academic Unit: Department of Animal Biosciences
Start date: September 2022 or January 2023
Advisor Name: Dr. Dan Tulpan (email@example.com)
Duration: 2 years
This project will focus on identification of rumination patterns relevant to health of dairy cattle based on data acquired with on-animal sensors and physiological information. The student will be trained to use sensors to collect data on farm and effectively apply various modeling approaches including but not limited to machine/deep learning to test hypotheses and identify relevant features for predictive purposes. In addition, the MSc student will work in a team of undergrad/grad students, postdocs and professors to accomplish the above tasks. The project also financially supports travel costs and attendance to a workshop and a conference.
Required skills: The MSc candidate should have a strong background in animal biosciences with additional knowledge of computational and modelling techniques. They must have an honours BSc degree in biology, animal science or a related field with a minimum B average (75%). They must have proven experience performing a literature review, field work, basic modelling/programming knowledge and statistical analysis (e.g. R). The candidate should be self-motivated to learn, an independent worker, able to problem solve and have a critical thinking mindset. They should be able to work well within a group and have strong written and oral communication skills. The University of Guelph believes in improving equity, diversity and inclusion in its study programs and workplaces; thus all applicants are welcome who meet the above required skills.
Preferred skills: A successful candidate would have an A average, exposure to using a Linux environment and have basic programming skills in Python and R.
Qualified candidates should send their CV, transcripts, and cover letter (one-page) to Dr. Dan Tulpan (firstname.lastname@example.org) with the subject “MSc thesis application - 499162”.