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logo DAL blackDalhousie University’s Faculty of Agriculture and Faculty of Computer Science invite applications for a probationary tenure-track, tenure-track or tenured position in Computer Science and Digital Agriculture ­­­­­­­­­­­­­­at the rank of Assistant or Associate Professor commencing July 1, 2023. Dalhousie is the leading graduate and research university of Atlantic Canada, with more than 18,500 students, including 3500 in graduate programs, from 115 countries.

About the Faculty of Agriculture
The Faculty of Agriculture is located on the Dalhousie University Agricultural Campus, located in Truro, Nova Scotia. The Faculty offers technical, undergraduate, and graduate programs (MSc, PhD) in agriculture, aquaculture, environment, and related life and social science disciplines, and is home to1000+ students and 50+ professors and instructors, including current and past Tier 1 and Tier 2 Canada Research Chairs. With a unique complement of expertise and interests interspersed across four departments, the Faculty of Agriculture recognizes that digitization of agriculture, innovation of precision systems, and big data analytics are needed to transform the agricultural sector and boost economic growth in Atlantic Canada. With its strong reputation in digital and precision agriculture, the Faculty of Agriculture is committed to building and leading research, training, innovation, and industry partnerships in these areas.

About the Faculty of Computer Science
The Faculty of Computer Science is a research focused faculty with over 55 faculty members, including Tier I and Tier II Canadian Research Chairs. Our research strengths intersect across disciplines from oceans and agriculture to healthcare and the arts in core areas, including: Big Data Analytics, Artificial Intelligence & Machine LearningHuman-Computer Interaction, Visualization & GraphicsSystemsAlgorithms & Bioinformatics, and Computer Science Education. The Faculty is also home of the Institute for Big Data Analytics, an international hub for excellence in big data research. Around one quarter of our 2400 students are enrolled in master’s or doctoral programs. The Faculty also partners with other Faculties and departments to offer various multi-disciplinary study streams under the Master of Digital Innovation and is an active participant in the Interdisciplinary PhD program.

Dalhousie’s Faculties of Computer Science and Agriculture offer supportive, inclusive, multicultural, research-oriented environments with a firm commitment to justice, equality, diversity and inclusion. They offer reasonable teaching loads (with excellent TA support), and competitive pay and benefits (including health insurance, dental insurance and an exceptional pension plan). The Faculties support new hires with moving assistance and start-up funding. Researchers will enjoy the collaborative lab environment; mentoring; peer support for teaching, research, and grant writing; and extensive ties to local industry.


We seek established researchers who are comfortable working at the intersections of Computer Science and Agriculture to contribute to the research and teaching programs in both Faculties. We are looking for researchers in one or more of the following areas: precision agriculture, sensing, automation, machine vision, mechanized systems and digital agriculture, climate smart precision agronomy, soil science, precision animal systems, bioinformatics, data science, database systems, data mining, human-computer interaction, artificial intelligence, machine learning, or software engineering. An ideal candidate will have a history of research publications spanning agricultural and computer science venues, a record of funding from both disciplines, and a research program that looks to mix graduate students from both disciplines.

Applicants with an Agriculture background would at the time of appointment hold a relevant doctorate degree in Agriculture. Applicants with a Computer Science background would hold at the time of appointment a PhD in Computer Science or related fields. The successful candidate will provide evidence of high-quality scholarly output that demonstrates a record of independent research. The ideal candidate will have a history of collaborative research across disciplines related to agriculture and agri-food. A record of teaching excellence is a strong asset.

The successful candidate will teach both undergraduate and graduate courses, participate in course and program development at both the undergraduate and graduate-level, supervise and mentor students, and support Faculty initiatives. The applicant will be expected to establish a strong externally funded research program, and foster existing and new collaborations with government, industry, and with other members of Dalhousie’s research community. Entrepreneurship, industrial experience, and ability to collaborate on both research and industry-focused projects will be considered assets. The incumbent will develop a nationally and internationally recognized research program and carry out research in the Computer Science and Digital Agriculture disciplines with the intent to publish in scholarly journals. Attracting and maintaining research funding from national, regional, and provincial funding agencies is expected. Building strong connections with Canadian agri-food industries through research and outreach activities will be critical.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous persons (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, and persons identifying as members of 2SLGBTQ+ communities, and all candidates who would contribute to the diversity of our community. For more information, please visit

To apply please visit:

Documents Required
A complete application package for this position will include:

  • a cover letter (2 pages maximum)
  • a detailed CV
  • a prospective research plan (2 pages maximum)
  • a statement on teaching philosophy, interests and experience (2 pages maximum)
  • the names, addresses and emails of three references (applicants selected for further consideration will be notified before referees are contacted)
  • reprints of three recent publications.