PhD: AI-Driven Sound Analytics for Dairy Cow Welfare in Edgmond

PhD: AI-Driven Sound Analytics for Dairy Cow Welfare in Edgmond

Edgmond Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Harper Adams University

At a Glance

  • Tasks: Conduct research on sound analytics to improve dairy cow welfare using AI.
  • Company: Harper Adams University, a leader in agricultural education and research.
  • Benefits: Gain valuable research experience and training in AI/ML.
  • Other info: Opportunity to work on innovative projects with expert guidance.
  • Why this job: Make a real difference in animal welfare while advancing your academic career.
  • Qualifications: Master's degree in Animal Sciences or related fields; strong quantitative skills required.

The predicted salary is between 30000 - 40000 Β£ per year.

Harper Adams University is offering a PhD position focusing on acoustic monitoring and AI for assessing dairy cattle welfare. Candidates will gather and analyze sound data to enhance animal welfare assessment techniques and develop computational models.

Applicants must have a Master's degree in Animal Sciences or related fields, alongside strong quantitative skills. Experience in programming and statistics is advantageous; however, training in AI/ML will be provided.

PhD: AI-Driven Sound Analytics for Dairy Cow Welfare in Edgmond employer: Harper Adams University

Harper Adams University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of animal welfare. With a strong commitment to employee development, the university provides ample opportunities for growth through training in cutting-edge technologies like AI and machine learning, all while being situated in a picturesque rural setting that enhances work-life balance.

Harper Adams University

Contact Details:

Harper Adams University Recruitment Team

We think you need these skills to ace PhD: AI-Driven Sound Analytics for Dairy Cow Welfare in Edgmond

Acoustic Monitoring
AI/ML Knowledge
Data Analysis
Quantitative Skills
Programming
Statistics
Computational Modelling