Thompson Rivers University
Teaching/Lecturer Position

Sessional Faculty - ADSC 4710

Deadline
Dec 02, 2024
Expired
Location
N/A
Canada
Employment
Other
Negotigation
Reference
N/A
Posted Nov 20, 2024
Offered salary$2,575

About the role

Application Restrictions

Open to both Internal and external

Job Type

Faculty (Sessional)

Posting In effect from

19/11/2024

Closing Application Date

2/12/2024

Applications will be reviewed commencing the closing application date and may continue until the position is filled.

Instructional Type

Academic/Career(max 24 credits)

Anticipated Start Date

1/1/2025

Position End Date (If Applicable)

30/4/2025

DUTIES

Duties included planning, lecturing, and course assessments.

ADSC 4710 - Machine Learning in Applied Data Science (3 credits)

QUALIFICATIONS

Masters degree in Data Science, Statistics, or related field (PhD preferred)

Post-secondary teaching experience

Excellent communication skills

Pay Band

$2,575.50 - $2,575.50 ( Sessional Faculty - Academic (per credit) )

Location

Kamloops, BC CA (Primary)

# of Hires Needed

1

Organizational Unit

Thompson Rivers University -> Faculty of Science -> Mathematics and Statistics

Diversity and Inclusion Commitment:

Thompson Rivers University is strongly committed to hiring based on merit with a focus on fostering diversity of thought within our community. We welcome those who would contribute to the further diversification of our staff, our faculty and its scholarship including, but not limited to, women, Indigenous, Black and People of Colour, persons with disabilities and persons of any sexual orientation or gender identity. Please note that all qualified candidates are encouraged to apply, however applications from Canadians and permanent residents will be given priority.

NOTE: To learn more about Thompson Rivers University or living in Kamloops or Williams Lake please visit our Careers website. External Candidates invited to interview will be required to bring a copy of their transcripts to the interview.

How to apply

Read the full posting, then apply through the employer's own site. Applications are handled by the institution, not by AcademicGates.