36 Teaching Science jobs in South Africa

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Assistant Professor, Teaching Stream - Data Science Date Posted: 07/14/2025Closing Date: 11/17/2025, 11:59 PM ETReq ID: 44011Job Category: Faculty - Teaching Stream (continuing)Faculty/Division: Faculty of Arts & ScienceDepartment: Department of Statistical SciencesCampus: St. George (Downtown Toronto) Description: The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2026. This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members ( Statement on Equity, Diversity & Excellence ). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply. The successful candidate must hold a Ph D in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of excellence in teaching. We are seeking candidates whose teaching interests will complement and enhance the department’s strengths in education. Applicants must have teaching experience in statistics, biostatistics, or data science within a degree-granting program, at the undergraduate level for students specializing in statistics or related fields with strong mathematical and computational components. This includes experience in course design, lecture preparation and delivery, curriculum development, and the creation of online educational materials. Candidates must show a strong commitment to pedagogical excellence and innovation, as evidenced by engagement in teaching-related activities and pedagogical inquiry. A demonstrated interest in advancing teaching practices and curriculum development is essential. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content that incorporates real-world data and applied statistical methods. Furthermore, we prefer that candidates have experience in interdisciplinary collaboration as a statistician or data scientist on projects involving genuine applications of statistical or data science methods. Preferred qualifications include a demonstrated interest in supervising undergraduate research projects, experience managing large enrolment courses and teaching assistants, and a collaborative approach to course coordination and teaching. Evidence of excellence in teaching and commitment to pedagogical scholarship should be demonstrated through teaching accomplishments such as teaching awards, peer-reviewed presentations at major conferences, a comprehensive teaching dossier (as outlined in the application instructions below), and strong letters of reference from referees of high standing. Salary will be commensurate with qualifications and experience. All qualified candidates are invited to apply online at Academic Jobs Online, and must submit a cover letter; a current curriculum vitae; and a complete teaching dossier to include a teaching statement, sample syllabi and course materials, and teaching evaluations. E quity, diversity and inclusion are essential to academic excellence as articulated in University of Toronto’s Statement on Equity, Diversity and Excellence. We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment. Applicants must also arrange to have three letters of reference (dated, on letterhead and signed ) uploaded through Academic Jobs Online directly by the writers by the closing date. At least one reference letter must primarily address the candidate's teaching. All applicant materials, including recent signed reference letters, must be received byNovember 17, 2025. CAUTION : This ad is “posted only” to the U of T faculty job board. Please see the information above for application instructions. Applications submitted via the U of T platform will NOT be considered for this position. 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 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. 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 . #J-18808-Ljbffr

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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 .

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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

• Company primary industry: Education Management
• Job functional area: Education

ADvTECH is the leading provider of private education in Africa, passionately committed to enriching people’s lives and futures. The academic strategy of ADvTECH’s School’s Division is to ensure that each student progresses incrementally toward mastery in a learning environment that is flexible, inspiring, engaging and challenging. ADvTECH houses a number of prestigious school brands offering IEB, Cambridge & IB curricula and boasts an online home schooling delivery option as well.

Duties

Educators in the FET phase will be responsible for planning, organizing and implementing appropriate instructional programs in a high school environment that guide and encourage students to develop and fulfil their academic potential and prepare them for life after graduation. They will need :-

• to deliver future focused education in which students are motivated, inspired and challenged;
• to demonstrate strength of character, integrity and professionalism, at all times
• to develop and maintain constructive and ongoing partnerships with colleagues, parents, guardians and members of the community
• to communicate and collaborate with all members of the learning community in a positive, respectful and open-minded way

They will be accountable for the following specific areas of performance :-

• Academic Delivery
• Academic Assessment & Reporting
• Student Behaviour Management
• School Brand Ambassadorship
• Administration
• Health & Safety

Qualifications & Experience

• a degree (NQF level 7) and PGCE or B. Education (FET) with a specialization in the subjects to be taught
• SACE certification and a police clearance are requirements
• 2-5 years Teaching Experience
• 2-5 years Specialist subject teaching
• Computer and digital literacy
• First Aid
• IEB experience is advantageous
• A Lifelong learner who continually undertakes personal inquiry, reflection and action to inform their practice and understanding of teaching & learning and remains abreast of global education trends
• Demonstrated planning and organisation skills with superior detail orientation
• Exceptional interpersonal skills with excellent written and verbal abilities and professional presentation skills
• A proven track record of managing professional relationships with maturity and high EQ
• Professional time management is a minimum requirement of the role
• Demonstrated evidence of the ability to think critically and problem solve appropriately

Please apply online via the ADvTECH Career Portal:

Sunningdale, Cape Town, Western Cape, South Africa

#J-18808-Ljbffr

ADvTECH is the leading provider of private education in Africa, passionately committed to enriching people’s lives and futures. The academic strategy of ADvTECH’s Schools Division is to ensure that each student progresses incrementally toward mastery in a learning environment that is flexible, inspiring, engaging, and challenging. ADvTECH offers a range of prestigious school brands with IEB, Cambridge, & IB curricula, along with an online homeschooling option.

Duties

Educators in the FET phase will be responsible for planning, organizing, and implementing instructional programs in a high school environment that guide and encourage students to develop and fulfill their academic potential, preparing them for life after graduation. They will need to:

• Deliver future-focused education that motivates, inspires, and challenges students;
• Demonstrate strength of character, integrity, and professionalism at all times;
• Develop and maintain constructive partnerships with colleagues, parents, guardians, and community members;
• Communicate and collaborate positively, respectfully, and openly within the learning community.

Performance Areas

• Academic Delivery
• Academic Assessment & Reporting
• Student Behaviour Management
• School Brand Ambassadorship
• Administration
• Health & Safety

Qualifications & Experience

• A degree (NQF level 7) and PGCE or B. Education (FET) with a specialization in the subjects to be taught
• SACE certification and police clearance are required
• 2-5 years of teaching experience
• 2-5 years of specialist subject teaching
• Computer and digital literacy
• First Aid certification
• IEB experience is advantageous

Attributes & Competencies

• A lifelong learner who engages in continuous inquiry, reflection, and action to inform teaching practices, staying updated on global education trends;
• Strong planning and organizational skills with attention to detail;
• Exceptional interpersonal, written, and verbal communication skills, with professional presentation;
• Ability to manage professional relationships maturely with high emotional intelligence;
• Excellent time management skills;
• Critical thinking and problem-solving abilities.

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Company primary industry: Education Management Job functional area: Education ADv TECH is the leading provider of private education in Africa, passionately committed to enriching people’s lives and futures. The academic strategy of ADv TECH’s School’s Division is to ensure that each student progresses incrementally toward mastery in a learning environment that is flexible, inspiring, engaging and challenging. ADv TECH houses a number of prestigious school brands offering IEB, Cambridge & IB curricula and boasts an online home schooling delivery option as well. Duties Educators in the FET phase will be responsible for planning, organizing and implementing appropriate instructional programs in a high school environment that guide and encourage students to develop and fulfil their academic potential and prepare them for life after graduation. They will need :- to deliver future focused education in which students are motivated, inspired and challenged; to demonstrate strength of character, integrity and professionalism, at all times to develop and maintain constructive and ongoing partnerships with colleagues, parents, guardians and members of the community to communicate and collaborate with all members of the learning community in a positive, respectful and open-minded way They will be accountable for the following specific areas of performance :- Academic Delivery Academic Assessment & Reporting Student Behaviour Management School Brand Ambassadorship Administration Health & Safety Qualifications & Experience a degree (NQF level 7) and PGCE or B. Education (FET) with a specialization in the subjects to be taught SACE certification and a police clearance are requirements 2-5 years Teaching Experience 2-5 years Specialist subject teaching Computer and digital literacy First Aid IEB experience is advantageous A Lifelong learner who continually undertakes personal inquiry, reflection and action to inform their practice and understanding of teaching & learning and remains abreast of global education trends Demonstrated planning and organisation skills with superior detail orientation Exceptional interpersonal skills with excellent written and verbal abilities and professional presentation skills A proven track record of managing professional relationships with maturity and high EQ Professional time management is a minimum requirement of the role Demonstrated evidence of the ability to think critically and problem solve appropriately Please apply online via the ADv TECH Career Portal: Sunningdale, Cape Town, Western Cape, South Africa #J-18808-Ljbffr

Natural Science Teacher (Intermediate Phase)

Join the revolution in education at Curro! We're on a mission to empower future leaders and need your passion and expertise.

What are we looking for?
We are looking for someone with the following experience, qualifications and /or skillsets:

• An appropriate academic and professional education qualification from a recognised institution.
• Relevant experience in teaching Natural Science.
• Rugby Coaching (WR Qualification).
• Current SACE registration.
• A clear criminal record.

The responsibilities are:

• Plan, control, record and report on assessments.
• Attend meetings, forums, workshops for the grades/phase as required.
• Create an educational atmosphere in the classroom.
• Take responsibility for any and all school equipment and stock of the class.
• Work closely with the teachers in the grades/phase to ensure the effective running of the grades/phase.
• Manage, plan, assist and promote teaching and learning within the class.
• Manage, plan, assist and promote activities (sport and culture) within the school.
• Manage, plan, assist and promote discipline within the grades/phase.
• Assist with sport and other admin duties as and when the need arises.
• Personal commitment to education and a willingness to contribute to the values and ethos of the school.

The successful candidate will start on 01 July 2025.

Curro is an equal-opportunity employer, and therefore preference will be given to EE candidates.
P.S Please view your profile for progress on your application.
If you have not had any feedback from the school within two weeks of the closing date of this advert, accept that you were not successful for this position.
But don’t be dismayed, next time it might be you.
Due to the high volume of applications, only shortlisted candidates will be communicated with.
Curro reserves the right not to make an appointment.
NB: Please remember and take note before applying that this is a Permanent position.

NB: Please note that if you are found to apply for two or more positions that you do not qualify for in the least, you will be blocked from the system for 30 days. This is due to a large volume of applicants who are abusing the system.

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