Student Research Assistant (Up to 5 Positions) - School of Climate Change and Adaptation
Charlottetown, PE
Niveau intermédiaire
About the role
The School of Climate Change and Adaptation is accepting applications for up to five (5) temporary Student Research Assistant positions.
RESPONSIBILITIES:
- Assist Dr. Aitazaz Farooque, Professor & Associate Dean, in collecting geo-referenced soil, water, and environmental samples in lab and field environments
- Support geospatial data collection and analysis from agricultural fields
- Contribute to agronomic and plant production efforts through advanced technologies and sensor networks
- Assist with data preparation for hydrological models and machine learning and deep learning applications
- Assist in machine learning, artificial intelligence, and remote sensing applications for Atlantic Canadian industry
- Investigate barriers to adopting climate-smart technologies in the Atlantic Canadian context
- Assist in robotics and automation for the development of climate-smart applicators
- Assist with prediction and forecasting (evapotranspiration, yield, soil properties, and drought) using climatic, soil, and crop variables in Atlantic Canada
- Participate in training for sustainable agriculture technologies and production systems to promote climate-smart agriculture
- Engage in industry field days and meetings to present research findings
- Receive training in traditional statistical techniques for data analysis
- Gain experience in advanced machine learning techniques for data analysis
- Contribute to the preparation of reports and manuscripts
QUALIFICATIONS:
- Must be a current UPEI student
- Strong professional and technical skills
- Good academic standing with a strong work ethic
- Ability to work both independently and as part of a team
- Willingness to work in both lab and field environments
- Willingness to travel within the Atlantic provinces for data collection
- Background and knowledge in precision agriculture technologies
- Familiarity with data preprocessing and analysis techniques
- Familiarity with machine learning, remote sensing, and AI methods for agriculture applications
REQUIRED:
- Valid driver’s license