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11. Climate Change
13. Ph.D. Project: Artificial intelligence to support climate change adaptation measures in the livestock sector (funded, $30,000 annually for 4 years)

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UBC PRISM Lab
Ph.D. Project: Artificial intelligence to support climate change adaptation measures in the livestock sector (funded, $30,000 annually for 4 years)

Kelowna, Canada

DEGREE TYPE

PhD

DURATION

4 years

LANGUAGES

English

PACE

Full time

APPLICATION DEADLINE

EARLIEST START DATE

STUDY FORMAT

On-Campus

Key Summary

About : This Ph.D. project focuses on using artificial intelligence to support climate change adaptation measures in the livestock sector. It provides funding of $30,000 annually for four years, giving students the chance to develop innovative solutions while addressing significant environmental challenges. Students will engage in meaningful research aimed at benefiting the livestock industry and the broader implications for climate resilience.

Career Outcomes : Graduates of this program can pursue various careers, including roles in agriculture technology, environmental consulting, and climate policy development. They may work as researchers, data analysts, or advisors to organizations focused on climate adaptation strategies. Opportunities also exist in academia for teaching and further research in related fields.

Artificial intelligence (AI) can be harnessed to develop predictive models of potential climate change impacts and mitigation/adaption measures in a variety of application contexts. In this four year, funded Ph.D. project, predictive analytic models will be developed to estimate the probable range of morbidity, mortality, productivity, resource/environmental, economic, and animal welfare impacts associated with extreme heat events for each livestock species in British Columbia, Canada, under current climate change projections, and to assess the potential benefits/trade-offs associated with scenarios for heat stress risk monitoring and mitigation technology implementation. This information will then be used in combination with the stakeholder values data to rank the technologies and scenarios using a multi-criteria decision-making (MCDA) framework. Project outputs will include a Ph.D. dissertation, presentation of results at poultry industry association professional meetings, conference presentations, and submission of study results for publication in peer-reviewed venues

This project will begin in September 2022.