Opportunities

Inside a large dairy barn, a research team works with Holstein cows. One researcher holds a cow's tail upward while simultaneously using a syringe to collect a blood sample. Beside them, a second researcher holds the tail of another cow to prepare for the same procedure, while a third researcher stands nearby with a clipboard to record the data. Large industrial fans and other cows in stalls are visible in the background.

Opportunities Overview

Dr. Ribeiro’s research group offers motivated students and researchers the opportunity to gain hands-on experience in advanced animal management and research methods within a collaborative, team-based environment. They also benefit from interacting with a broad network of academic and industry partners connected to Dr. Ribeiro’s collaborations.

If you’re interested in joining our team or have any feedback for us, please reach out via our Contact Us page.

✔ Open position:

Postdoctoral Fellow in Dairy Science (Statistical Modeling focus)

The Ribeiro Lab is seeking a highly motivated Postdoctoral Fellow to contribute to an NSERC Alliance project titled “The Health Path to Advance Dairy Sustainability.”

The overarching goal of this project is to develop innovative methods for the streamlined assessment of transition management in dairy farms, and to support data-driven decision-making to improve cow health, welfare, and overall sustainability of dairy production systems.

To achieve these objectives, the project integrates large-scale field studies conducted on commercial dairy farms with advanced statistical and machine learning approaches. These analyses will leverage both traditionally collected data (e.g., milk recording systems) and emerging data streams (e.g., sensor technologies).

The Alliance project is organized into three major studies, each comprising multiple activities with specific objectives and hypotheses. The research team includes a diverse group of highly qualified personnel (HQP), including graduate students, postdoctoral fellows, and undergraduate research assistants.

The Ribeiro Lab provides a collaborative, team-oriented environment with opportunities for hands-on experience in applied animal science and advanced data analytics. Team members also benefit from strong connections with academic and industry partners.

Job description:

The successful candidate will:

  • Lead statistical and machine learning analyses across multiple studies
  • Oversee data management, integration, and quality control
  • Develop computational tools to translate research findings into practical management recommendations
  • Publish peer-reviewed scientific articles and contribute to knowledge translation outputs (e.g., extension materials, lay summaries)
  • Support and mentor graduate students and other trainees in the lab

Required Qualifications:

  • D. in Statistics, Computer Science, Animal Science, Dairy Science, or a related field
  • Strong background in statistical analysis and data modeling
  • Experience applying quantitative methods to real-world problems
  • Demonstrated ability to work independently and manage multiple priorities
  • Excellent organizational and project management skills
  • Proven ability to publish research in peer-reviewed journals
  • Strong written and verbal communication skills, with the ability to work collaboratively

Preferred Qualifications:

  • Experience with dairy cattle or livestock production systems
  • Experience with machine learning approaches and large datasets
  • Experience with economic analysis and/or epidemiology
  • A strong publication record that is relevant to the position

To apply:

Please apply via email to [email protected] 

Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references.

Applications will be reviewed as received, continuing until a suitable applicant is identified.

To learn more about this project, please visit:

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