Location where work is to be performed:

Main Campus

Session:

2025 Spring/Summer Semester | Trimestre printemps/été

Faculty:

Faculté de génie / Faculty of Engineering

Unit:

Department of Mechanical Engineering_ST

Job Classification:

Teaching Assistant/Demonstrator/Lab Monitor (CUPE)

Posting Type:

Cours précis / Specific course

Course Title:

Advanced Topics: Intelligent Health Informatics

Course Code:

BMG5111

Section:

AX00

Supervisor name (if known):

Date Posted:

March 24, 2025

Applications must be received BEFORE:

April 07, 2025

Description of tasks (hours):

Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.

Recherche / Research:0

Préparation / Preparation:0

Contact avec étudiants / Contact with Students:0

Correction - Notation / Grading:0

Surveillance / Proctoring:3

Formation / Training:0

Autre / Other:0

Number of positions:

1

Expected Enrolment:

74

Work Start Date:

May 01, 2025

Work End Date:

August 15, 2025

Total Work Hours:

65

Language of Work:

Anglais | English

Graduate Hourly Rate:

53.56

Undergraduate Hourly Rate:

33.99

Requirements and Nature of Work:

Information about the course topic:

Intelligent Health Informatics

Healthcare data, information, knowledge processes and analysis. Identify and address challenges and opportunities as we envision the transformation of the healthcare system into a digital, patient-specific/patient-centered system. Design the process of healthcare information system (HCIS) acquisition, development, implementation, and support. Discuss critical aspects of healthcare delivery workflows and understand how an Intelligent HCIS changes the workflows—and how to manage that change. Understand major algorithms for healthcare applications and IT components in representative clinical processes. Discuss various data processing techniques on healthcare data sets and engage in data analysis and visualization to create an Intelligent Clinical Decision Support System. Digitization of the disease processes, diagnostic modalities, and treatments associated with common disease processes.

Position Purpose:

Provide teaching assistant to the course supervisor, direct contract with student, marking and proctoring.

Allocation of hours and other duties will be specified by the supervisor.

What you will bring:

• Experience in biomedical engineering and the course topic.

• Excellent communication skills.

• Must be available in person for the duration of the session A.

• Must be available to proctor the final exam.

Contract dates: From May 1 to August 15, 2025.

Please note that the teaching method will be delivered in person.

It is possible that the method could change due to health measures or other reasons.

Additional Information and/or Comments:

All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.

The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here 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 the academic unit to communicate the accommodation need.

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.