29 Physics Education jobs in South Africa

Listing reference: manco_000714

Listing status: Online

Apply by: 23 May 2025

Position summary

Job category: Others: Education and Training

Location: Durban

Contract: Fixed Term Contract

EE position: No

Introduction

MANCOSA, a DHET registered and CHE accredited private higher education distance education provider, offering undergraduate and postgraduate business qualifications, has the following vacancy available:

CORE PURPOSE

To provide coordination and support to the Curriculum Department by assisting with the various processes associated with new module development within the department to ensure that MANCOSA meets its strategic objectives and goals.

Core Functions

• Coordinate the new module development process for the content writing and moderation of new Module Guides
• Conduct sourcing and contracting of appropriate Programme Advisory Members, Module Guide Writers and Module Guide Moderators
• Provide professional feedback to Module Guide Writers and Moderators, thereby ensuring alignment to MANCOSA’s and regulatory body standards
• Track documents as per New Module Development processes
• Accurately compile Curriculum Structures, Programme Information Sheets, Prescribed and Recommended Readings Lists for new module development while maintaining quality and consistency as per the Department’s requirements and standards
• Compilation of New Module Development Reports
• Efficiently schedule and coordinate meetings and interviews
• Professionally communicate with internal and external stakeholders
• Contribute to the achievement of student success via engaging and solving curriculum related student queries and ensuring module guides are of a high-quality standard per intake
• Coordinate formatting and layout editing on New Module Guides as per the formatting requirements
• Complete digitising of Module Guides as per requirements to maintain quality and consistency on the Curriculum Development and Management System
• Participate in regulatory body activities
• Assist during Departmental and institutional functions/events
• Independently study to ensure ongoing professional development to upgrade knowledge in field of expertise

QUALIFICATIONS

· Essential Qualification: Degree

· Preferred Qualification: Honours

EXPERIENCE

· Essential experience: At least 1-2 year’s higher education work experience , and u nderstanding of curriculum and regulatory compliance

· Preferred experience: At least 1-2 year’s higher education work experience, and understanding of curriculum and regulatory compliance

RELATED KNOWLEDGE, COMPETENCIES AND SKILLS

· Excellent listening, communication, and written skills

· Working with people

· Following instructions and procedures

· Writing and reporting

· Relating and networking

· Ability to multitask

· Planning, organising and the ability to work under pressure

· Integrity and honestly

· Detail oriented

· Creative and innovative

· Proficient in MS Office

· Have a good understanding of the Higher Education Landscape

· Ability to work under pressure

GENERAL

QUALIFICATIONS

· Essential Qualification: Degree

· Preferred Qualification: Honours

EXPERIENCE

· Essential experience: At least 1-2 year’s higher education work experience , and u nderstanding of curriculum and regulatory compliance

· Preferred experience: At least 1-2 year’s higher education work experience, and understanding of curriculum and regulatory compliance

RELATED KNOWLEDGE, COMPETENCIES AND SKILLS

· Excellent listening, communication, and written skills

· Working with people

· Following instructions and procedures

· Writing and reporting

· Relating and networking

· Deadline driven

· Ability to multitask

· Planning, organising and the ability to work under pressure

· Integrity and honestly

· Detail oriented

· Creative and innovative

· Proficient in MS Office

· Have a good understanding of the Higher Education Landscape

· Ability to work under pressure

GENERAL

Must be able to work overtime when necessary

#J-18808-Ljbffr

Curriculum Coordinator: New Programme Development Listing reference: manco_000696 Listing status: Online Apply by: 7 April 2025 Position summary Job category: Others: Education and Training Location: Durban Contract: Fixed Term Contract EE position: No Introduction To provide coordination and support to the Curriculum Department by assisting with the various processes associated with new programme development, short learning programme development, professional body accreditation and responses to regulatory bodies within the department to ensure that MANCOSA meets its strategic objectives and goals. CORE FUNCTIONS INCLUDE Track documents as per New Programme Development processes Efficiently schedule and coordinate meetings and interviews as and when required Ensure new programme development is completed as per regulatory and institutional standards Sourcing of programme developers, programme reviewers, and short learning programme developers timeously to ensure deadlines are met Liaise with programme developers regarding revisions and/or amendments to new programme submission documents Submit new programmes as per the stipulated deadline Ensure alignment of new programme development with the institution’s mission, vision, and strategic objectives Compile and coordinate narratives and supporting evidence for new programme development Coordinate the development of responses to conditions and/or representations (where applicable) when feedback is received from the respective regulator Coordinate the development and review of Short Learning Programmes ensuring alignment with the institution’s mission, vision, and strategic objectives Ensure professional body accreditation, endorsement, MOU, or maintenance is complete as per the guidelines provided Submit professional body applications as per the stipulated deadline Ensure alignment of professional body with the identified existing programme Compile and manage narratives and supporting evidence for professional body applications Participation in regulatory body activities Qualifications Essential Qualification: Honours Preferred Qualification: Master’s EXPERIENCE Essential experience: At least 1-2 year’s higher education work experience, and understanding of curriculum and regulatory compliance Preferred experience: At least 1-2 year’s higher education work experience, and understanding of curriculum and regulatory compliance RELATED KNOWLEDGE, COMPETENCIES AND SKILLS Excellent listening, communication, and written skills Strong writing and reporting abilities Effective collaboration and interpersonal skills Strong networking and relationship-building skills Adherence to instructions and procedures Deadline-oriented Capable of multitasking Excellent planning, organizational skills, and ability to perform under pressure High level of integrity and honesty Creative and innovative thinker Proficiency in MS Office Solid understanding of the Higher Education landscape Ability to thrive under pressure General Required to work overtime when necessary #J-18808-Ljbffr

Listing reference: manco_000714 Listing status: Online Apply by: 23 May 2025 Position summary Job category: Others: Education and Training Location: Durban Contract: Fixed Term Contract EE position: No Introduction MANCOSA, a DHET registered and CHE accredited private higher education distance education provider, offering undergraduate and postgraduate business qualifications, has the following vacancy available: CORE PURPOSE To provide coordination and support to the Curriculum Department by assisting with the various processes associated with new module development within the department to ensure that MANCOSA meets its strategic objectives and goals. Core Functions Coordinate the new module development process for the content writing and moderation of new Module Guides Conduct sourcing and contracting of appropriate Programme Advisory Members, Module Guide Writers and Module Guide Moderators Provide professional feedback to Module Guide Writers and Moderators, thereby ensuring alignment to MANCOSA’s and regulatory body standards Track documents as per New Module Development processes Accurately compile Curriculum Structures, Programme Information Sheets, Prescribed and Recommended Readings Lists for new module development while maintaining quality and consistency as per the Department’s requirements and standards Compilation of New Module Development Reports Efficiently schedule and coordinate meetings and interviews Professionally communicate with internal and external stakeholders Contribute to the achievement of student success via engaging and solving curriculum related student queries and ensuring module guides are of a high-quality standard per intake Coordinate formatting and layout editing on New Module Guides as per the formatting requirements Complete digitising of Module Guides as per requirements to maintain quality and consistency on the Curriculum Development and Management System Participate in regulatory body activities Assist during Departmental and institutional functions/events Independently study to ensure ongoing professional development to upgrade knowledge in field of expertise QUALIFICATIONS · Essential Qualification: Degree · Preferred Qualification: Honours EXPERIENCE · Essential experience: At least 1-2 year’s higher education work experience , and u nderstanding of curriculum and regulatory compliance · Preferred experience: At least 1-2 year’s higher education work experience, and understanding of curriculum and regulatory compliance RELATED KNOWLEDGE, COMPETENCIES AND SKILLS · Excellent listening, communication, and written skills · Working with people · Following instructions and procedures · Writing and reporting · Relating and networking · Ability to multitask · Planning, organising and the ability to work under pressure · Integrity and honestly · Detail oriented · Creative and innovative · Proficient in MS Office · Have a good understanding of the Higher Education Landscape · Ability to work under pressure GENERAL QUALIFICATIONS · Essential Qualification: Degree · Preferred Qualification: Honours EXPERIENCE · Essential experience: At least 1-2 year’s higher education work experience , and u nderstanding of curriculum and regulatory compliance · Preferred experience: At least 1-2 year’s higher education work experience, and understanding of curriculum and regulatory compliance RELATED KNOWLEDGE, COMPETENCIES AND SKILLS · Excellent listening, communication, and written skills · Working with people · Following instructions and procedures · Writing and reporting · Relating and networking · Deadline driven · Ability to multitask · Planning, organising and the ability to work under pressure · Integrity and honestly · Detail oriented · Creative and innovative · Proficient in MS Office · Have a good understanding of the Higher Education Landscape · Ability to work under pressure GENERAL Must be able to work overtime when necessary #J-18808-Ljbffr

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert:

Faculty Liaison Coordinator, Computation and Data Science Education (TERM)

Date Posted: 08/15/2025
Req ID: 44848
Faculty/Division: Faculty of Arts & Science
Department: Office of Teaching and Learning
Campus: St. George (Downtown Toronto)

Description:

About us:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.

We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

Arts & Science offers many resources to support teaching and students' learning. We strive to encourage and enable exemplary and innovative teaching, enrich and support student academic transition, and build connections between academic and non-academic learning. We support instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, and designing pedagogical resources and approaches.

The Teaching & Learning team in the Faculty of Arts & Science supports instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, conducting research and designing pedagogical resources, initiatives and approaches. The Computation and Data Science Education (CDSE) initiative aims to catalyze and support the integration of computation and data science across disciplines by providing pedagogical and technological support to faculty, postdoctoral fellows, and graduate students. In addition to supporting individual teaching teams and curricular efforts, the initiative will also serve as an interdisciplinary hub to bring together educators engaged in computation and data science teaching to share their experiences, best practices, and technological approaches.


Your opportunity:

Residing in the Office of the Dean, Teaching & Learning team, the Faculty Liaison Coordinator, CDSE will work closely with academic administrators, faculty members, course instructors and students to integrate computation and data science across Arts & Science disciplines.

Working collaboratively with faculty members, course instructors and academic administrators, the incumbent is expected to develop and implement coherent and integrated instructional strategies that support learning objectives, incorporating current best practices in teaching.

Yourresponsibilities will include:

• Researching and recommending options for computational and data science professional development for graduate students and faculty
• Conducting detailed pedagogical analysis and consultation to inform program planning activities
• Evaluating learning outcomes for program development, to help the faculty achieve its data science goals
• Keeping well-informed on current technologies, best practices and industry standards, including the integration of AI tools
• Advising instructors on strategies for developing and delivering curriculum
• Analyzing needs and recommending appropriate technologies for teaching/learning goals
• Developing content for instructional workshops
• Developing and implementing community engagement strategies and plans for the Computation and Data Science Education community of practice

Essential Qualifications:

• Master's Degree with a curriculum focus in data science or related fields, or an equivalent combination of education and experience.
• Minimum five years of experience developing and delivering pedagogical programming for faculty and staff, and experience providing consultations to faculty/staff on teaching and learning-related topics with a focus on computation and data science education
• Experience with designing and delivering data science courses and professional development programs at a post-secondary institution (e.g., programming, data analysis, data visualization, machine learning, generative AI pedagogies and the cross-over between data science and GenAI )
• Extensive experience coordinating the projects and strategic initiatives with multiple contributors and stakeholders
• Experience providing advice on pedagogical strategies for developing and delivering curriculum
• Demonstrated experience in analyzing needs, evaluating and recommending appropriate technology for teaching and learning goals
• Experience working with a range of e-learning tools and learning management systems
• Extensive experience supporting video conferencing in a teaching context
• Excellent communication skills (oral and written); ability to effectively present information
• Excellent analytical and research skills
• Superior ability to collaborate effectively and to foster a collaborative environment within
• Excellent presentation and group facilitation skills
• Demonstrated knowledge of and familiarity with various educational technologies and pedagogical approaches
• Superior proficiency with Microsoft Office 365 Suite, including Excel, Forms, Stream, SharePoint, Canvas, and Teams
• Strong initiative; superior tact and judgment; ability to successfully meet deadlines

Assets (Nonessential):

• PhD degree in Data Science or related field is an asset.
• Experience with teaching and training at the post-secondarylevel
• Strong proficiency supporting the use of generative AI (e.g., ChatGPT, Microsoft Copilot) in a teaching and learning context a strong asset.

To be successful in this role you will be:

• Insightful
• Organized
• Proactive
• Team player

Note: This is a 2-year term position, with an end date of September 2027

Closing Date: 09/05/2025, 11:59PM ET
Employee Group: USW
Appointment Type : Budget - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone: USW Pay Band 14 -- $91,677. with an annual step progression to a maximum of $117,242. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Research Administration & Teaching

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening 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 .

#J-18808-Ljbffr

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert:

Educational Technology Developer, Computation and Data Science Education (Term)

Date Posted: 08/15/2025
Req ID: 44849
Faculty/Division: Faculty of Arts & Science
Department: ARTSC: Ofc of the Dean
Campus: St. George (Downtown Toronto)
Position Number: 00057963

Description:

About us:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.

We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

Arts & Science offers many resources to support teaching and students' learning. We strive to encourage and enable exemplary and innovative teaching, enrich and support student academic transition, and build connections between academic and non-academic learning. We support instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, and designing pedagogical resources and approaches.

The Teaching & Learning team in the Faculty of Arts & Science supports instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, conducting research and designing pedagogical resources, initiatives and approaches. The Computation and Data Science Education (CDSE) initiative aims to catalyze and support the integration of computation and data science across disciplines by providing pedagogical and technological support to faculty, postdoctoral fellows, and graduate students. In addition to supporting individual teaching teams and curricular efforts, the initiative will also serve as an interdisciplinary hub to bring together educators engaged in computation and data science teaching to share their experiences, best practices, and technological approaches.


Your opportunity:

Residing in the Office of the Dean, Teaching & Learning team, the EducationalTechnology Developer, CDSE, will work closely with academic units, faculty members and course instructors to develop and integrate educational technology related to computation and data science . The incumbent will provide specialized educational technology support, development and training for CDS education in collaboration with academic units and institutional teams.

Your responsibilities will include:

• Probing for information from end-users to identify problems and establish needs
• Troubleshooting issues uncovered by testing or user feedback
• Conducting needs assessments to determine end-user technical requirements
• Designing, testing, and modifying programming code
• Keeping well-informed on current technologies, best practices and industry standards
• Conducting detailed analysis and evaluation to inform program planning activities
• Drafting and editing training content

Essential Qualifications:

• Bachelor's Degree in Computer Science or Data Science or acceptable combination of equivalent experience.
• Minimum four years of related experience in educational development and/or training and development and experience with technical support, troubleshooting, and editing
• Experience in application support, specifically with Learning Management Systems (LMS) and Content Management Systems (CMS)
• Experience with instructional design, in order to create effective and clear training materials
• Demonstrated experience with statistical analysis common data science libraries/ packages, including numpy, pandas, matplotlib (Python); tidyverse (R); and integrated text-code document formats such as Jupyter notebooks, Rmarkdown, and Quarto
• Experience troubleshooting technical issues related to educational development
• Experience with git and GitHub workflows, including in maintaining and contributing to open-source libraries.
• Python and R programming languages
• Unix terminal, systems monitoring and troubleshooting, and application deployment using virtual machines, containers, and cloud-based deployments
• Strong knowledge in Institutional Learning Management System (E.g.,Quercus/Canvas) or similar platforms, including knowledge of common issues and how to be addressed
• Ability to learn continually 'on-the-job', on own initiative, often without instructors, courses, texts, or other formal educational resources, to keep abreast of often rapid changes in requirements, software and technology
• Ability to communicate effectively and accurately, both orally and in writing, to a diverse group of clients, including the ability to communicate technical concepts to persons with limited technical backgrounds
• Excellent time management, prioritization and organizational skills, including the ability to prioritize effectively when working with multiple tasks and projects

Assets (Nonessential):

• Experience with teaching and training at the post-secondary level
• Strong proficiency supporting the use of generative AI (e.g., ChatGPT, Microsoft Copilot) in a teaching and learning context a strong asset.

To be successful in this role you will be:

• Insightful
• Organized
• Proactive
• Team player

Note: This is a 2-year term position, with an end date of September 2027

Closing Date: 09/05/2025, 11:59PM ET
Employee Group: USW
Appointment Type : Budget - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 12 -- $81,312. with an annual step progression to a maximum of $103,986. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Research Administration & Teaching
Recruiter: Carolyn Wright

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening 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 .

#J-18808-Ljbffr

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Educational Technology Developer, Computation and Data Science Education (Term) Date Posted: 08/15/2025Req ID: 44849Faculty/Division: Faculty of Arts & ScienceDepartment: ARTSC: Ofc of the DeanCampus: St. George (Downtown Toronto)Position Number: 00057963 Description: About us: The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.Arts & Science offers many resources to support teaching and students' learning. We strive to encourage and enable exemplary and innovative teaching, enrich and support student academic transition, and build connections between academic and non-academic learning. We support instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, and designing pedagogical resources and approaches.The Teaching & Learning team in the Faculty of Arts & Science supports instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, conducting research and designing pedagogical resources, initiatives and approaches. The Computation and Data Science Education (CDSE) initiative aims to catalyze and support the integration of computation and data science across disciplines by providing pedagogical and technological support to faculty, postdoctoral fellows, and graduate students. In addition to supporting individual teaching teams and curricular efforts, the initiative will also serve as an interdisciplinary hub to bring together educators engaged in computation and data science teaching to share their experiences, best practices, and technological approaches.Your opportunity: Residing in the Office of the Dean, Teaching & Learning team, the Educational Technology Developer, CDSE, will work closely with academic units, faculty members and course instructors to develop and integrate educational technology related to computation and data science. The incumbent will provide specialized educational technology support, development and training for CDS education in collaboration with academic units and institutional teams.Your responsibilities will include: Probing for information from end-users to identify problems and establish needs Troubleshooting issues uncovered by testing or user feedback Conducting needs assessments to determine end-user technical requirements Designing, testing, and modifying programming code Keeping well-informed on current technologies, best practices and industry standards Conducting detailed analysis and evaluation to inform program planning activities Drafting and editing training content Essential Qualifications: Bachelor's Degree in Computer Science or Data Science or acceptable combination of equivalent experience. Minimum four years of related experience in educational development and/or training and development and experience with technical support, troubleshooting, and editing Experience in application support, specifically with Learning Management Systems (LMS) and Content Management Systems (CMS) Experience with instructional design, in order to create effective and clear training materials Demonstrated experience with statistical analysis common data science libraries/ packages, including numpy, pandas, matplotlib (Python); tidyverse (R); and integrated text-code document formats such as Jupyter notebooks, Rmarkdown, and Quarto Experience troubleshooting technical issues related to educational development Experience with git and Git Hub workflows, including in maintaining and contributing to open-source libraries. Python and R programming languages Unix terminal, systems monitoring and troubleshooting, and application deployment using virtual machines, containers, and cloud-based deployments Strong knowledge in Institutional Learning Management System (E.g., Quercus/Canvas) or similar platforms, including knowledge of common issues and how to be addressed Ability to learn continually 'on-the-job', on own initiative, often without instructors, courses, texts, or other formal educational resources, to keep abreast of often rapid changes in requirements, software and technology Ability to communicate effectively and accurately, both orally and in writing, to a diverse group of clients, including the ability to communicate technical concepts to persons with limited technical backgrounds Excellent time management, prioritization and organizational skills, including the ability to prioritize effectively when working with multiple tasks and projects Assets (Nonessential): Experience with teaching and training at the post-secondary level Strong proficiency supporting the use of generative AI (e.g., Chat GPT, Microsoft Copilot) in a teaching and learning context a strong asset. To be successful in this role you will be: Insightful Organized Proactive Team player Note: This is a 2-year term position, with an end date of September 2027 Closing Date: 09/05/2025, 11:59 PM ETEmployee Group: USWAppointment Type : Budget - TermSchedule: Full-TimePay Scale Group & Hiring Zone: USW Pay Band 12 -- $81,312. with an annual step progression to a maximum of $103,986. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol. Job Category: Research Administration & TeachingRecruiter: Carolyn Wright Lived Experience Statement Candidates who are members of Indigenous, Black, racialized and 2 SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position. Diversity Statement The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening 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 . #J-18808-Ljbffr

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Faculty Liaison Coordinator, Computation and Data Science Education (TERM) Date Posted: 08/15/2025Req ID: 44848Faculty/Division: Faculty of Arts & ScienceDepartment: Office of Teaching and LearningCampus: St. George (Downtown Toronto) Description: About us: The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.Arts & Science offers many resources to support teaching and students' learning. We strive to encourage and enable exemplary and innovative teaching, enrich and support student academic transition, and build connections between academic and non-academic learning. We support instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, and designing pedagogical resources and approaches.The Teaching & Learning team in the Faculty of Arts & Science supports instructors and academic units in translating their goals into effective practice, building teaching expertise and capacity, conducting research and designing pedagogical resources, initiatives and approaches. The Computation and Data Science Education (CDSE) initiative aims to catalyze and support the integration of computation and data science across disciplines by providing pedagogical and technological support to faculty, postdoctoral fellows, and graduate students. In addition to supporting individual teaching teams and curricular efforts, the initiative will also serve as an interdisciplinary hub to bring together educators engaged in computation and data science teaching to share their experiences, best practices, and technological approaches.Your opportunity: Residing in the Office of the Dean, Teaching & Learning team, the Faculty Liaison Coordinator, CDSE will work closely with academic administrators, faculty members, course instructors and students to integrate computation and data science across Arts & Science disciplines.Working collaboratively with faculty members, course instructors and academic administrators, the incumbent is expected to develop and implement coherent and integrated instructional strategies that support learning objectives, incorporating current best practices in teaching.Yourresponsibilities will include: Researching and recommending options for computational and data science professional development for graduate students and faculty Conducting detailed pedagogical analysis and consultation to inform program planning activities Evaluating learning outcomes for program development, to help the faculty achieve its data science goals Keeping well-informed on current technologies, best practices and industry standards, including the integration of AI tools Advising instructors on strategies for developing and delivering curriculum Analyzing needs and recommending appropriate technologies for teaching/learning goals Developing content for instructional workshops Developing and implementing community engagement strategies and plans for the Computation and Data Science Education community of practice Essential Qualifications: Master's Degree with a curriculum focus in data science or related fields, or an equivalent combination of education and experience. Minimum five years of experience developing and delivering pedagogical programming for faculty and staff, and experience providing consultations to faculty/staff on teaching and learning-related topics with a focus on computation and data science education Experience with designing and delivering data science courses and professional development programs at a post-secondary institution (e.g., programming, data analysis, data visualization, machine learning, generative AI pedagogies and the cross-over between data science and Gen AI ) Extensive experience coordinating the projects and strategic initiatives with multiple contributors and stakeholders Experience providing advice on pedagogical strategies for developing and delivering curriculum Demonstrated experience in analyzing needs, evaluating and recommending appropriate technology for teaching and learning goals Experience working with a range of e-learning tools and learning management systems Extensive experience supporting video conferencing in a teaching context Excellent communication skills (oral and written); ability to effectively present information Excellent analytical and research skills Superior ability to collaborate effectively and to foster a collaborative environment within Excellent presentation and group facilitation skills Demonstrated knowledge of and familiarity with various educational technologies and pedagogical approaches Superior proficiency with Microsoft Office 365 Suite, including Excel, Forms, Stream, Share Point, Canvas, and Teams Strong initiative; superior tact and judgment; ability to successfully meet deadlines Assets (Nonessential): Ph D degree in Data Science or related field is an asset. Experience with teaching and training at the post-secondarylevel Strong proficiency supporting the use of generative AI (e.g., Chat GPT, Microsoft Copilot) in a teaching and learning context a strong asset. To be successful in this role you will be: Insightful Organized Proactive Team player Note: This is a 2-year term position, with an end date of September 2027 Closing Date: 09/05/2025, 11:59 PM ETEmployee Group: USWAppointment Type : Budget - TermSchedule: Full-TimePay Scale Group & Hiring Zone: USW Pay Band 14 -- $91,677. with an annual step progression to a maximum of $117,242. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.Job Category: Research Administration & Teaching Diversity Statement The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening 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 . #J-18808-Ljbffr

Job Title: Physics Teacher
Location: East London
Job Type: Full-Time (5 days a week), Long Term

About Us:
Remedy connects passionate educators with schools across London. We are seeking a qualified Physics Teacher for a full-time, long-term position at a secondary school in East London.

Job Overview:
As a Physics Teacher, you'll inspire students to explore the fascinating world of physics, from forces to electricity. You'll plan and deliver engaging lessons, assess progress, and collaborate with colleagues. The ideal Physics Teacher will hold a PGCE and QTS or QTLS. NQTs and those with equivalent qualifications are welcome to apply.

Key Responsibilities:

Plan and deliver engaging Physics Teacher lessons.

Inspire students to explore physics and develop critical thinking skills.

Assess and monitor student progress in physics.

Collaborate with other Physics Teachers and staff.

Participate in extracurricular activities related to physics.

Requirements:

QTS or QTLS certification.

Passion for teaching physics.

Strong communication and classroom management skills.

NQTs are welcome to apply.

If you're a qualified Physics Teacher looking for a long-term role, apply today!

#J-18808-Ljbffr

Company Superprof is a private tutoring platform that connects those who want to learn with skilled and passionate tutors. Superprof was founded in France in August 2013 and is now present in more than 40 countries . Today, there are millions of registered community members worldwide, and our tutors offer help across all disciplines, including music (guitar, piano, etc.), languages, sports (rugby, hockey, swimming, etc.), and school subjects (Maths, Accounting, Life Sciences, etc.). Job Description Superprof is offering you the chance to become a private tutor. We are looking for motivated and passionate individuals from across South Africa — with or without tutoring experience — to teach any of the more than 1 000 subjects available on our platform, including academic support, languages, music, sports, arts, hobbies, etc Tutoring is the ideal job for students, graduates, those who want to be self-employed, and anyone wanting to earn extra money by upskilling others. With Superprof, you can set your own rates, work from home, teach online, and connect with thousands of potential students. Work on a full-time or part-time basis, depending on students' needs and your availability. Teach online from wherever you are, or meet students face-to-face. Join the Superprof tutoring community by applying here, and start offering private lessons to students of any age, at any learning level, located near you or abroad. Students will find you ! Simply create a tutoring advert for each subject you teach, we’ll host it on our website and students will contact you when they’re interested in taking a lesson. The ideal profile : You have a particular skill, a flair for languages, or an aptitude for certain subjects. You want to pass on your knowledge to others. You have experience or a qualification in the subject or discipline you teach. You are patient, punctual and a good communicator . Like us, you think that life is a continuous learning experience. Advantages Free to join. You keep 100% of your tutoring fees. Superprof takes no commission . Set your own rates and working hours. Be your own boss. Teach from home, in your local area, or online. Thousands of potential students across South Africa and the world . Join the world's largest tutoring network.