加拿大達爾豪斯大學2024年招聘博士后職位（氣候智能型農業的AI開發）

戴爾豪斯大學（Dalhousie University），簡稱“Dal”，是位于加拿大新斯科舍省的一所綜合性研究型大學。該大學本部設在省會城市哈利法克斯，分為斯塔德利（Studley）、卡爾頓（Carleton）、塞克斯頓（Sexton）三個小型校區。農業校區設于省內的特魯羅（Truro）；位于省內雅茅斯的校區用于護理學學士學位的部分實訓；在位于新不倫瑞克省的圣約翰（Saint John）設有醫學教育課程，由該校醫學院、新不倫瑞克省政府、新不倫瑞克大學和戴爾豪斯大學醫學院合作完成。戴爾豪斯大學在其13個一級學院/部中提供兩百多個學位和四千多門課程。該大學是加拿大U15研究型大學聯盟的成員之一。

Postdoctoral Fellow – AI Development for Climate-Smart Agriculture

Mooanalytica Research Group, Dalhousie University

Job Description

Dalhousie University’s Mooanalytica Research Group of the Faculty of Agriculture and the Faculty of Computer Science is offering an exciting opportunity for a Postdoctoral Fellow to join a project focused on helping Canada's agricultural sector achieve net-zero greenhouse gas (GHG) emissions and develop AI based solutions for improving animal welfare. The main project involves developing and adapting Artificial Intelligence (AI) tools to optimize sustainable farming practices. These tools will be customized to suit the diverse environmental and agricultural conditions of Atlantic Canada, providing real-time decision support for farmers. The role will also involve collecting data through surveys, questionnaires, and fieldwork with farmers to gather insights on emissions, resource use, and biodiversity. This is an interdisciplinary project that combines agricultural sciences, environmental sustainability, and AI technologies to promote climate-smart farming in the region. The postdoc will also be involved in other projects related to AI-enabled computer vision techniques and data analytics for improving animal welfare.

Key Responsibilities

Develop and adapt AI tools for real-time decision-making in agricultural management, focusing on sustainability and GHG emissions reduction.

Customize the tools to fit the environmental and agricultural conditions of Nova Scotia and Atlantic Canada.

Lead the collection of data from farmers through surveys, questionnaires, and fieldwork to assess emissions, biodiversity, water use, and other sustainability metrics.

Conduct feasibility studies and analyze data to evaluate the performance of AI tools in diverse farming contexts.

Design and develop user-friendly dashboards that provide actionable insights for farmers and stakeholders.

Collaborate with farmers and agricultural stakeholders to gather feedback and provide training on the use of AI tools.

Prepare executive reports, scientific papers, and presentations to communicate findings to policymakers, industry stakeholders, and the academic community.

Regularly monitor and improve the AI tools based on real-world data and user feedback.

Required Expertise and Qualifications

PhD in a relevant field (e.g., Agricultural Science, Environmental Science, Computer Science, AI, Data Science, or a related discipline).

Expertise in machine learning and artificial intelligence, with experience in algorithm development and real-time decision support systems.

Proficiency in Python and experience in dashboard development (e.g., Dash or similar platforms).

Strong skills in data analytics and experience in survey and questionnaire design for data collection from diverse stakeholders.

Experience in collaborating with farmers and conducting fieldwork in agricultural settings.

Ability to communicate complex AI solutions to non-expert audiences and develop reports for stakeholders.

Familiarity with GHG emissions, sustainability practices, and farm management systems is highly desirable.

Ability to work both independently and as part of a multidisciplinary team.

Terms of Employment

Duration: 18 months, with potential for extension based on project needs and funding availability.

Compensation: Competitive salary in line with postdoctoral positions at Dalhousie University.

Location: Based at Dalhousie University’s Faculty of Agriculture in Truro or at Halifax, Nova Scotia, with fieldwork across Atlantic Canada.

Contact Information:

Suresh Neethirajan

sureshraja@dal.ca

Faculty of Agriculture & Faculty of Computer Science

6050 University Avenue

Halifax,Nova Scotia

Canada

Contact Email: mooanalytica@gmail.com

為防止簡歷投遞丟失請抄送一份至：boshijob@126.com（郵件標題格式：應聘職位名稱+姓名+學歷+專業+中國博士人才網）