Sessional Lecturer Phyb57h3 Introduction To Scientific Computing Fall 2023

Toronto, ON, Canada

Job Description


Date Posted: 06/16/2023
Req ID: 32257
Faculty/Division: UofT Scarborough
Department: UTSC:Dept-Physical & Environmental Sci
Campus: University of Toronto Scarborough (UTSC)

Description:

Scientific computing is a rapidly growing field because computers can solve previously intractable problems and simulate natural processes governed by equations that do not have analytic solutions. During the first part of this course, students will learn numerical algorithms for various standard tasks such as root finding, integration, data fitting, interpolation and visualization. In the second part, students will learn how to model physical systems. At the end of the course, students will be expected to write small programs by themselves. Assignments will regularly include programming exercises.

Salary: Starting September 1, 2023 the following rates of pay apply for half courses (F or S), inclusive of vacation pay: $9457.89 for a Sessional Lecturer I; $9,930.79 for a Sessional Lecturer I Long Term; $10,151.76 for a Sessional Lecturer II; $10,326.61 for an Sessional Lecturer II Long Term; 10,362.76 Sessional Lecturer III; and $10,570.02 for a Sessional Lecturer III Long Term. Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. The rate of pay is established by the Collective Agreement between Canadian Union of Public Employees (CUPE), Local 3902 Unit 3 and the University of Toronto.

Qualifications:

Ph.D. in Physics or a physical sciences-based field. Previous experience in teaching at the University level. A working knowledge of Python programming.

Duties:

Preparation and delivery of lectures (2h/week) and computing practicals (2h/week), creation of an exam, midterm test, quizzes and/or assignments, test and exam solutions, exam marking, marks management and availability at regularly scheduled weekly office hours. The instructor will set quizzes and/or assignments using the python computing language to support the learning of course content and will provide solutions to the midterm, quizzes and assignments to a course marker. The instructor will also prepare materials for and supervise a course practical demonstrator. Management of online support for the course in the form of announcements, notes and term work solutions is also expected.

Closing Date: 07/11/2023, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact .

University of Toronto

Beware of fraud agents! do not pay money to get a job

MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD2212069
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned