Documents Needed to Apply

Documents Needed to Apply

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Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LL
Academic Term: Winter
Class Timetable: TH 9:00AM – 10:15AM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 1/6/2025
End Date: 4/17/2025
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 11/29/2024
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Department of Mathematics and Computing Science 

PART-TIME POSITIONS 

WINTER SEMESTER 2025 

COMPUTING SCIENCE COURSES, RECITATIONS, & LABS 

The Department of Mathematics & Computing Science is seeking to staff the following courses,  recitations, and labs for the Winter Semester, 2025 (January 8 – April 23). See below for specific courses,  recitations, and labs. 

Please note the following: 

• Successful applicants for courses will be required to hold office hours and will invigilate and mark  midterm and final examinations.  
• For courses that are scheduled to be delivered remotely, applicants are expected to have access  to sufficient technological resources – including internet connectivity and a webcam or similar  equipment – to make this feasible. 
• Stipends are subject to the current negotiations between CUPE and Saint Mary’s University. At  present, the stipend* for courses is $6111.00 – $6812.50 (depending on experience at Saint  Mary’s), and the stipend* for recitations and labs is $3055.50 – $3406.25 (depending on  experience at Saint Mary’s). 
• Please note that course days/times and the final day of the term are subject to change.  

Send your application to: ptpositionsCS@cs.smu.ca 

Please include the following documentation with your application:  

• a current Curriculum Vitae 
• university transcripts and proof of degrees (e.g., photocopies/scans of certificates,  diplomas, etc.) 
• two (2) letters of reference 

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than November 20, 2024 

The Department requires the following qualifications and experience for the following labs: 

• Minimum Master’s Degree in Computing Science, or a related area. 
• Successful experience teaching Introductory Computing Science at the University level in Python. Computer Programming & Problem Solving 

CSCI 1227.2LB F 8:30 AM – 11:30 AM ON CAMPUS

CSCI 1227.2LC F 11:30 AM – 2:30 PM ON CAMPUS

CSCI 1227.2LD F 2:30 PM – 5:30 PM ON CAMPUS

The Department requires the following qualifications and experience for the following course and recitations: 

• Minimum Master’s Degree in Computing Science, or a related area. 
• Successful experience teaching Data Structures & Algorithms at the University level. 

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the  recitations as well.  

Data Structures & Algorithms I 

CSCI 2341.2 MW 10:00am – 11:15am ON CAMPUS 

CSCI 2341.2RA M 11:30am – 12:45pm ON CAMPUS

CSCI 2341.2RB W 11:30am – 12:45pm ON CAMPUS

The Department requires the following qualification and experience for the following course and recitations: 

• Minimum Master’s Degree in Computing Science, or a related area. 
• Successful experience teaching Mobile App Development at the University level. 

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the  recitations as well.  

Mobile App Development 

CSCI 2356.2 MW 4:00pm – 5:15pm ON CAMPUS 

CSCI 2356.2RA M 5:30pm – 7:00pm ON CAMPUS

CSCI 2356.2RB W 5:30pm – 7:00pm ON CAMPUS

The Department requires the following qualifications and experience for the following course: 

• Minimum Master’s Degree in Computing Science, or a related area. 
• Successful experience teaching Operating Systems at the University level. 

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the  recitations as well.  

Operating Systems 

CSCI 3431.2 MW 11:30 AM – 12:45 PM ON CAMPUS 

CSCI 3461.2RA M 1:00 PM – 2:15 PM ON CAMPUS

CSCI 3461.2RB W 1:00 PM – 2:15 PM ON CAMPUS

The Department requires the following qualifications and experience for the following course: 

• Minimum Master’s Degree in Computing Science, or a related area. 
• Successful experience teaching Database Systems at the University level. 

The course and recitations are offered as a unit: preference will be given to instructors willing to teach the  recitations as well.  

Database Systems 

CSCI 3461.2 MW 5:30 PM – 6:45 PM ON CAMPUS 

CSCI 3461.2RA M 7:00 PM – 8:15 PM ON CAMPUS

CSCI 3461.2RB W 7:00 PM – 8:15 PM ON CAMPUS 

Applications should be received no later than November 20, 2024

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5512

Current Practices in Computing and Data Science II

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2025

Schedule: Lectures Tuesday 5:30-6:45pm 

Academic Calendar Description:

This course will allow students to acquire skillsets and build a portfolio in a designated computing and/or data science paradigm based on current trends in the industry. The students will learn theoretical and practical aspects of the paradigm by implementing real-world solutions for one or two projects.

This academic year the course will introduce three pivotal domains of the modern IT landscape: DevOps, Cloud Computing, and Quality Assurance (QA). The course is designed for individuals eager to explore the principles, practices, tools, and techniques used to enhance organizational agility, cloud infrastructure management, and software quality assurance.

Qualifications:

• Minimum Master’s Degree 
• 5-10 years of experience in managing computing hardware and software
• Ability to form and manage a team of instructors and tutors with:
  • Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Hands-on experience with DevOps tools (e.g., Jenkins, Docker, Kubernetes).
  • Expertise in Quality Assurance frameworks and methodologies.
• Help students with relevant certifications in DevOps, Cloud Computing, and Quality Assurance.

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2024

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

CUPE 3912 Job Posting for Part-Time Instructor

Course: MCDA 5550

Web, Mobile, and Cloud Application Development

Department: M.Sc. in Computing and Data Analytics, Faculty of Science

Semester: Jan-Apr 2025

Schedule: Lectures Wednesday 5:30pm – 8:15pm 

Academic Calendar Description:

Students develop applications that are accessible through the internet on a variety of platforms including cloud environments and mobile devices. An emphasis is placed on designing and deploying mobile applications; push technology; data structures and memory management; interface design; Scalable Vector Graphics (SVG); cloud computing; and privacy/security.

Qualifications:

• Minimum Master’s Degree 
• 5-10 years of experience in managing software development across platforms including Web, Mobile, and Cloud Computing.
• Experience working within an industry context. 

Duties:

Duties include course/lecture preparation/delivery; in-class teaching; preparation and evaluation of all student assessments.  The successful candidate will be required to hold office hours and collaborate with M.Sc. CDA faculty and industry professors. 

Remuneration: 

Remuneration is in accordance with the Collective Agreement between Saint Mary’s University and CUPE 3912

How to Apply: 

Applications are invited in the first instance from part-time faculty colleagues on the Saint Mary’s precedence list. Applicants who currently hold a part-time teaching appointment at Saint Mary’s University should submit a cover letter and a C.V. Applicants who do not currently hold a part-time teaching appointment at Saint Mary’s University should submit a complete application (including a cover letter, CV, proof of academic credentials, name and contact information of three referees, and any evidence of teaching effectiveness).

Submissions are made as a single PDF file sent directly via email to: msc.cda@smu.ca 

Application deadline: November 01, 2024

Saint Mary’s University hires on the basis of merit and is committed to the principles of employment equity. Saint Mary’s University encourages applications from qualified women, visible minorities, Aboriginal people, and people with disabilities. Preference will be given to Canadian citizens and permanent residents of Canada.

——————————————–
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208L LL
Academic Term: Fall
Class Timetable: TH 9:00AM – 10:15AM On-campus
Course Unit Value: 0.125
—————————————————
Start Date: 9/4/2024
End Date: 12/17/2024
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics.

In addition, experience teaching similar introductory statistics labs to
non-science majors and experience with the use of MINITAB for data
analysis is required.

Please note that in the event that it is required that this on campus
course be moved online candidates must have experience and be prepared to
teach using the Blackboard/Collaborate virtual classroom. Candidates must
be willing to participate in additional training in the optimum range of
teaching operations in the Moodle LMS and in the Collaborate virtual
classroom, if necessary, to reach the required level of competency before
the course begins. Candidates must also be sensitive to the needs of
distant, mature and part-time learners. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Statistics Laboratory Instructor. The
lab instructor is required to follow the course syllabus and guidelines
for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Danielle Cox, Dept. of Mathematics and Statistics
Email: msvumath@msvu.ca

Application deadline: 8/12/2024
———————————————-

PART-TIME POSITION

FALL SEMESTER 2024

CSCI 3830.1

(Special Topics: Introduction to Enterprise Resource Planning)

The Department of Mathematics & Computing Science is seeking to staff the following course for the Fall Semester, 2024 (September 4 – December 19):

CSCI 3830.1 MW 5:30 PM – 6:45 PM ON CAMPUS

The successful applicant will be required to hold office hours and will invigilate and mark midterm and final examinations.

For courses that are scheduled to be delivered remotely, applicants are expected to have access to sufficient technological resources – including internet connectivity and a webcam or similar equipment – to make this feasible.

Please note that course days/times and the final day of the term are subject to change.

The stipend* for the CSCI 3830.1 course is $6111.00 – $6812.50 (depending on experience at Saint Mary’s).

The Department requires the following qualifications and experience:

Minimum Master’s Degree in Computing Science.

Successful industrial experience in Enterprise Resource Planning.

Send your application to: ptpositionsCS@cs.smu.ca

Please include the following documentation with your application:

• a current Curriculum Vitae

• university transcripts and proof of degrees (e.g., photocopies/scans of certificates,

diplomas, etc.)

• two (2) letters of reference

*The stipend is subject to the current collective agreement between CUPE and Saint Mary’s University

Applications should be received no later than August 7, 2024

Documents Needed to Apply