Student Research Assistant (Up to 3 positions) - School of Climate Change and Adaptation

Competition Number:
62S24
Position Type:
Student Position
Closing Date:
Date of Posting:
Department:
School of Climate Change and Adaptation
Position:
Student Research Assistant
Contract:
Hours of Work:
Up to 35 hours per week
Salary:

$15.40 per hour, plus 4% vacation pay

Term:

ASAP  â€“ August 31, 2024

The School of Climate Change and Adaptation is seeking applications for up to three (3) temporary student research assistant positions.  

 

RESPONSIBILITIES:

 

  • These positions are required to work in lab and field environments under the direction of Dr. Aitazaz Farooque, Professor & Associate Dean to collect geo-referenced soil, water, and environmental samples
  • Assist with water and soil quality sampling, use of geo-positional devices, and analysis of data using geographical information system (GIS) tools
  • Help in soil preparation, lab analysis, and field/crop mapping using the differential global positioning system (DGPS) and GIS
  • Assist with data preparation for hydrological modelling
  • Assist with development of soil classification and environmental data collection (Leachate, runoff, emissions)
  • Assist with prediction and forecasting using climatic variables
  • The students will be trained in soil and water technologies for agriculture production systems. The students will be encouraged to participate in industry field days and meetings to present research results
  • The students will be trained in traditional statistical techniques for analyzing relevant data
  • The students will be trained in advanced machine learning techniques for analyzing relevant data

 

QUALIFICATIONS:

 

  • Must be a ¾«Í¯ÓûÅ® student
  • Must have good professional and technical skills
  • Must have a good academic record and a strong work ethic
  • Ability to work in a team and independently
  • Willingness to work in lab and field environments
  • Willingness to travel within Atlantic Provinces to collect research data
  • Must have a background in statistics
  • Familiarity with data preprocessing and data analysis techniques
  • Familiarity with machine learning
  • Valid driver’s license desirable

 

Priority will be given to ¾«Í¯ÓûÅ® students in accordance with Recruitment, Selection, Hiring and Employment Policies and the Procedures manual.

 

Application Instructions:

Please submit electronically a cover letter, quoting the competition number, a resume and reference list to be received no later than the closing date via the link below.

If you are unable to apply online, you can drop off your resume to the Human Resources Department, Kelley Building, ¾«Í¯ÓûÅ®, 550 University Avenue, Charlottetown, PEI C1A 4P3, Fax Number 902-894-2895.

¾«Í¯ÓûÅ® is committed to equity, diversity, inclusion, and reconciliation and believes in providing a positive learning and working environment where every person feels empowered to contribute. ¾«Í¯ÓûÅ® is committed to the principle of equity in employment and encourages applications from underrepresented groups including women, Indigenous peoples, visible minorities, persons with disabilities, persons of any sexual orientation or gender identity, and others with the skills and knowledge to productively engage with diverse communities. If you require accommodation in any part of the process, please direct your inquiries, in confidence, to our HR Officer, hrofficer@upei.ca. Applications will not be accepted via email.

Only those applicants who are invited to an interview will be acknowledged.

Note that this site is not compatible with some mobile browsers (e.g. iPad, iPhone). Upon successful submission of your application, you will receive an auto-reply to your email address advising your application has been received. If you do not receive an email, please check your spam folder and/or try submitting your application via a different web browser (Google Chrome, Firefox, etc).

¾«Í¯ÓûÅ® encourages all qualified applicants to apply for job openings; however, in keeping with the terms and provisions of the university’s various employment and collective agreements, first priority will be given to internal candidates.