SL221830-Fall 2022-ENVS*3340 Environmental Data Analysis

Sessional Lecturer Work Assignment
Sessional Lecturer, Unit 2
Academic Unit: 
School of Environmental Sciences
Semester(s) of Assignment(s): 
Fall 2022
Number of Available Work Assignment(s) / Sections: 
1
Level of Work Assignment(s): 
1
Right of First Refusal (RoFR)
A Sessional Lecturer holds a RoFR (i.e., for a particular course) if they have successfully taught the course in the past six (6) semesters. A SL who holds a RoFR to this course is required to exercise their right by way of the online hiring system. Also see: What is Right of First Refusal (RoFR)?
A Sessional Lecturer Currently Holds a Right of First Refusal for this Course: 
No
Course Details
Course Number: 
ENVS*3340
Course Name: 
Environmental Data Analysis
Course Format: 
In-Class
Course Description: 
See Course Calendar
Projected Class Enrolment: 
20
Anticipated Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Office Hours
Preparation
Student Consultation
Lecturing
Email Correspondence/Monitoring
Conducting Labs/Seminars
TA Coordination Meetings
Invigilating Exams
Grading
Qualifications
Required Qualifications
Degree: 
PhD in progress related to field
PhD related to field
Prior Teaching Experience: 
Successful teaching related to field at college or university level
Required competence, capability, skill and ability related to course content: 
Visualization (graphs) and statistical analyses (descriptive statistics, empirical distributions, correlation and regression, hypothesis tests) of varied environmental datasets. Familiarity with data quality issues and data quality assessment in Environmental Sciences. Familiarity with R statistical computing software.
Preferred Qualifications
Degree: 
PhD related to field
PhD and expert in course content
Prior Teaching Experience: 
Successful teaching related to field at college or university level.
Research Experience: 
Quality and or Recent Research activity in related field demonstrating knowledge of current developments in course content.
Specific Preferred competence, capability, skill and ability related to course content: 
Extensive experience with R statistical computing software, including troubleshooting code. Familiarity with Python or related programming language. Familiarity with numerical simulation of environmental phenomena. Familiarity with environmental, especially climatological, hydrological, and ecological data
Days Required and Wages
Days and Times Required: 
as per webadvisor
Period of the Work Agreement (Start Date and End Date): 
September 6, 2022 to December 23, 2022
Wages (per semester, per full-load): 
minimum $7,758.48 (effective 2022/23)
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Sunday, July 24, 2022
Posting Email Contact: 
seshr@uoguelph.ca
Hiring Contact Information: 
Dr. Paul Sibley, Director, Environmental Sciences, Bovey Building, Room 1106; Telephone: 519-824-4120 ext. 52707; Email: psibley@uoguelph.ca.

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.
SL work assignments are unionized with CUPE3913 and their terms and conditions of work are covered by the Unit 2 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca)