Forestry and Environmental Management, Faculty of

College of Extended Learning; Fredericton; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading educational institution is seeking a Course Instructor for 'Data Analysis for Natural Resources' for the Fall term. The role involves teaching statistical data analysis concepts and providing hands-on experience in R. Candidates should hold a BSc in a related field and have teaching experience.

Qualifications

• Demonstrated knowledge of statistical analysis and natural resources.
• Relevant experience with teaching or professional presentations.

Responsibilities

• Develop and teach the course 'Data Analysis for Natural Resources'.
• Guide students in statistical analysis using R.

Skills

Statistical data analysis

Teaching

Professional presentations

Education

BSc in a related field

Job description

NOTE: Course offerings are subject to budgetary approval

Posting Reference: ENVM 3261 FR01A

Course Information

Course Prefix: ENVM Course Number: 3261

Course Section: FR01A Course Name: Data Analysis for Natural Resources

Term: Fall Campus: Fredericton

Faculty: Forestry and Environmental Management, Faculty of Department: Forestry and Environmental Management

Position Start Date: 2025-09-03 Position End Date: 2025-12-09

Posting Date: 2025-05-21 Application Deadline: 2025-06-22

Applications to be submitted via: email email [e-mail]

Requested By: Laurie Nason

Days: MWF Time: 10:30-11:20

Number of Positions Available: 1 Total Credit Hours: 3

Mode of Delivery: Face to Face Location: On Campus

Stipend Amount: 7193

Please contact Faculty of Forestry and Environmental Management for more details.

Course Description

Develop a foundation in statistical data analysis with a focus on application in natural resources sciences. Build upon concepts introduced in STAT 2264/2263 and explore how researchers and managers move from formulating questions to collecting data to analyzing results. Investigate approaches to study design with review of a range of statistical tests including t-tests, ANOVA, ANCOVA, correlation, and different forms of regression, with examples based in natural resources science. Gain valuable hands-on experience in statistical analysis in R.

Qualifications

BSc in a related field. Demonstrated knowledge of the subject matter and relevant experience with teaching or professional presentations.

Additional Notes

Priority will be given to Right of First Refusal for this course.

Disposition

Review of applications will continue until position is filled

Contract Academic Position Details

Review the collective agreement

NOTE: Course offerings are subject to budgetary approval

Posting Reference: ENVM 3261 FR01A

Course Information

Course Prefix: ENVM Course Number: 3261 Course Section: FR01A Course Name: Data Analysis for Natural Resources Term: Fall Campus: Fredericton Faculty: Forestry and Environmental Management, Faculty of Department: Forestry and Environmental Management Position Start Date: 2025-09-03 Position End Date: 2025-12-09 Posting Date: 2025-05-21 Application Deadline: 2025-06-22 Applications to be submitted via: email email [e-mail] Requested By: Laurie Nason

Class Details

Days: MWF Time: 10:30-11:20 Number of Positions Available: 1 Total Credit Hours: 3 Mode of Delivery: Face to Face Location: On Campus Stipend Amount: 7193

Curriculum Context

Please contact Faculty of Forestry and Environmental Management for more details.

Course Description

Develop a foundation in statistical data analysis with a focus on application in natural resources sciences. Build upon concepts introduced in STAT 2264/2263 and explore how researchers and managers move from formulating questions to collecting data to analyzing results. Investigate approaches to study design with review of a range of statistical tests including t-tests, ANOVA, ANCOVA, correlation, and different forms of regression, with examples based in natural resources science. Gain valuable hands-on experience in statistical analysis in R.

Qualifications

BSc in a related field. Demonstrated knowledge of the subject matter and relevant experience with teaching or professional presentations.

Additional Notes

Priority will be given to Right of First Refusal for this course.

Disposition

Review of applications will continue until position is filled

Is the instructor a Graduate Student Teaching Apprentice

none

Successful Applicant(s)

Preference will be given to Canadian citizens and permanent residents of Canada