APTPUO_Fall-2026_MCG5138 D00

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculté de génie / Faculty of Engineering

Academic Unit:

Département de génie mécanique \\ Department of Mechanical Engineering

Course Title:

SUBTITLE: High-Perf. Computing w Apltns

Course Code:

MCG5138

Section:

D00

Course Description:

SUBTITLE: High-Perf. Computing w Apltns
Course description: High performance computational algorithms for efficient code with modern multicore architectures. Introduction to parallel numerical algorithms for linear-algebra problems, novel low and mixed-precision floating-point methods, data assimilation and optimization techniques, gridding approaches, and machine learning algorithms. Emphasis is on the mathematical/numerical theory, programming concepts, and algorithm implementation. Engineering applications aimed at mainly (but not exclusively) mechanics (solid mechanics, fluid mechanics, energy methods etc.). Other applications could also be considered based on the background and interest of the attendees.

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/27

Applications must be received BEFORE (YYYY/MM/DD):

2026/06/28

Expected Enrolment:

52

Approval date:

2026/05/27

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

C

Posting type:

Régulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Mardi | Tuesday 19:00-22:00 - -

Requirements:

Online course with in person midterms and final exam.

This method may change due to health measures or other reasons.

Additional Information and/or Comments:

Combine with GNG5300 C00

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact [email protected] to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.