Careers

The Opportunity

The Department of Mathematics in the Faculty of Science at Simon Fraser University (SFU) invites applications for a full-time continuing teaching faculty position at the rank of Lecturer, starting as early as July 15, 2027.

Lecturers are integral members of the Faculty of Science and play an important role in advancing the University’s teaching mission. Their primary responsibilities are teaching and associated duties, including curriculum development, educational leadership, and administrative and service contributions. As members of our collegial academic community, continuing Lecturers participate in departmental, Faculty, and University governance in accordance with the SFU/SFUFA Collective Agreement and applicable University policies.

Lecturers may apply for promotion to Senior Lecturer and University Lecturer when requirements are met for each rank and are eligible to apply for paid study leave to support their professional development.

Key Responsibilities

In the Department of Mathematics, the normal annual teaching workload for a full-time Lecturer is 6 courses. Teaching assignments are determined in accordance with the department’s workload policy and the SFU/SFUFA Collective Agreement.

At least one semester in nine, a Lecturer will have no teaching duties assigned. For the purposes of this entitlement, the non-teaching semester is one in which the Lecturer would normally have taught at least two regular courses or their equivalent.

The responsibilities of the successful candidate will include:

• Preparing, teaching, and updating assigned undergraduate courses;
• Supervising and collaborating with teaching assistants associated with assigned courses;
• Contributing to course and curriculum development;
• Working with a team of other teaching and research faculty to ensure consistency of instruction and assessment across lower division courses;
• Maintaining currency in the discipline and engaging in relevant pedagogical and professional development;
• Contributing to educational leadership and initiatives that support effective and inclusive teaching and learning; and
• Undertaking administrative and service responsibilities assigned by the Chair in consultation with the Lecturer, which may include contributions to curriculum development, academic integrity, student recruitment and outreach, and departmental or University committees.

The Department uses a workshop, or learning-centre, model to support students in lower-division courses. Responsibilities of the successful candidate will also include coordination of a workshop and supervision and mentoring of teaching assistants affiliated with the workshop.

Qualifications

The ideal candidate is expected to possess the following qualifications.

The position requires a minimum of:

• A Master’s degree in mathematics or applied mathematics (a PhD will be considered an asset);
• Demonstrated effectiveness in teaching mathematics, including experience teaching large classes.
• Ability to teach a range of undergraduate mathematics courses and problem-solving strategies, including those relevant to the course FAN X99 – Foundations of Analytical and Quantitative Reasoning.
• Experience using technology in the classroom for the purposes of instruction and assessment;
• Dedication to creating an environment that supports diverse populations and perspectives, and a commitment to creating inclusive learning experiences.

The successful candidate should also have:

• Experience supervising and mentoring teaching assistants;
• Experience integrating the use of modern computational tools into lower division courses;
• Demonstrated interest in curriculum development;
• Demonstrated interest in the pedagogical enhancement and scholarship of teaching and learning initiatives;
• A vision for university education with proactive responses to the rapid growth in the usage and capabilities of artificial intelligence tools;
• A record of, or strong commitment to, service and collegial governance;
• Experience and/or demonstrated interest in working together with other faculty to maintain consistency of instruction and assessments; and
• Demonstrated interest in innovative STEM outreach activities.

How To Apply

Please submit your application, including reference letters, online via MathJobs: https://www.mathjobs.org/jobs/SFU/LEC. Any general inquiries regarding this posting may be directed to the Math Chair’s Assistant at mcs@sfu.ca.

A complete application file should include:

• A cover letter of at most 2 pages addressing the full scope of the job requirements;
• A current curriculum vitae;
• A teaching portfolio which includes evidence of teaching effectiveness; artefacts of teaching; and a discussion of experience with and/or understanding of inclusive teaching, mentoring, and how the candidate would meet the needs of equity-deserving students;
• A diversity statement (1 page) that includes a description of your experience and plans for working with a diverse student body and contributing to a culture of equity and inclusion;
• 3 reference letters, with at least 2 letters speaking to teaching ability;
• An indication of your legal status to work in Canada.

Full consideration will be given to applications received by November 15, 2026. Applications received after this date may be reviewed if the position is still open. The anticipated start date is July 15, 2027.

We recognize that alternative career paths and/or career interruptions (e.g. parental leave, leave due to illness, disruptions due to COVID-19) can impact professional and teaching accomplishments, and we commit to ensuring that such leaves are taken into careful consideration. Candidates are encouraged to highlight in their application how alternative paths and/or interruptions have affected their professional development and teaching contributions.

We are committed to ensuring that the application and interview process is accessible to all applicants. If you require any assistance or accommodations, please contact SFU’s Equity Office at edi@sfu.ca.

About SFU’s Commitment to Diversity

Simon Fraser University respectfully acknowledges the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh Úxwumixw (Squamish), səlilw̓ətaɬ (Tsleil-Waututh), q̓íc̓əy̓ (Katzie), kʷikʷəƛ̓əm (Kwikwetlem), Qayqayt, Kwantlen, Semiahmoo and Tsawwassen peoples on whose unceded traditional territories our three campuses reside.

SFU is an equity employer and strongly encourages applications from all qualified individuals including women, Indigenous Peoples, racialized persons, people of all sexual orientations and gender identities, persons with disabilities, and others who may contribute to the further diversification of the University.

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

Salary and Benefits

Faculty salaries at SFU are based on the salary scales bargained between the University and the SFU Faculty Association. A reasonable estimate of the salary range for this role at the Lecturer rank is $98,340 to $114,241 (dependent on experience). SFU also offers a comprehensive benefits package, including pension, health, and dental benefits. For details on the benefits offered by SFU, please visit the Faculty Relations website. The successful candidate will be a member of the Simon Fraser University Faculty Association (SFUFA).

Privacy Notice

Personal information that forms part of an application is collected under the general authority of the Freedom of Information and Protection of Privacy Act, applicable University Policies, and the SFUFA/SFU Collective Agreement. For further details see the full Collection Notice.

The Department of Mathematics at Simon Fraser University (SFU) invites applications for two Postdoctoral Fellow positions, jointly supervised by Prof. Yingda Cheng, the Eddie Goldenberg Research Chair of Canada in Advanced Digital Technologies for Fusion Energy and Prof. Daniel Appelö. The Chair is one of the inaugural appointments under the Canada Global Impact+ Research Talent Initiative at SFU.

Applications are encouraged from candidates working in areas aligned with the Chair's mission, with priority given to:

• Scientific Machine Learning;
• Advanced Numerical Methods (e.g., for PDEs, kinetic equations, high-dimensional problems);
• Plasma Physics and Fusion Energy Science;
• Quantum Device Simulation / Quantum Technologies;
• High performance computing and GPU acceleration.

We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The successful candidate will join an interdisciplinary team and will have opportunities to collaborate with the Chair’s academic, industry, and international partners.

The start date is flexible and negotiable with the target date range between January 1 to  September 1, 2027. The initial appointment is for two years, with the possibility of renewal for a third year subject to satisfactory performance. Teaching load is up to one undergraduate course per year in the Department of Mathematics.

Qualifications

Excellence in research and strong potential for independent and collaborative work are the primary criteria for this position. The successful candidate must:

• Hold a Ph.D. in mathematics, applied mathematics, physics, or a closely related discipline, obtained no later than 3 years prior to the start of the fellowship.
• Have an excellent scientific record of research in one or more of the areas of interest above.
• Demonstrate strong computational/programming skills relevant to scientific machine learning and/or numerical simulation.
• Demonstrate potential for independent research and for contributing to an interdisciplinary, collaborative research environment.

Prior experience with plasma physics, fusion energy applications, or quantum computing is an asset but not required. Some of the research tasks will involve industrial partners and international partners, so preference will be given to candidates with strong communication and teamwork skills.

How to Apply

Applications must be submitted online via MathJobs: MathJobs - SFU Postdoctoral Fellow

Reference letters must also be uploaded via MathJobs. Full consideration will be given to applications received by December 1, 2026. Applications received after this deadline may be reviewed if the position is still open.

Applications will consist of the following components:

• A cover letter (maximum 2 pages) that briefly addresses the criteria listed in Qualifications.
• A complete, up-to-date curriculum vitae listing education and employment history, publications, conference presentations, funding and awards, collaborations and partnerships, teaching experience, and service activities if any.
• A research statement (typically 2–4 pages) describing the candidate's research area, how it aligns with the position, research experience, goals, and a plan for their research program during the fellowship.
• Two examples of published or submitted scholarly work.
• Three reference letters by referees who can comment on the candidate's suitability for this position.
• Please indicate your legal status to work in Canada.

About SFU's Commitment to Diversity

Simon Fraser University respectfully acknowledges the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh Úxwumixw (Squamish), səlilwətaɬ (Tsleil-Waututh), q̓íc̓əy̓ (Katzie), kʷikʷəƛ̓əm (Kwikwetlem), Qayqayt, Kwantlen, Semiahmoo, and Tsawwassen peoples on whose unceded traditional territories our three campuses reside.

SFU is an equity employer and strongly encourages applications from all qualified individuals including women, Indigenous Peoples, racialized persons, people of all sexual orientations and gender identities, persons with disabilities, and others who may contribute to the further diversification of the University. We are committed to ensuring that the application and interview process is accessible to all applicants. If you require any assistance or accommodations, please contact the Equity Office at EDI@sfu.ca.

The Eddie Goldenberg Research Chair particularly welcomes applications from women and other underrepresented groups in computational science.

Salary and Benefits

The base salary for this position is $65000-$70000 plus benefits and extended health benefits. For details on the benefits offered by SFU, please visit the SFU Postdoctoral Fellows website.

Privacy Notice

Personal information that forms part of an application is collected under the general authority of the Freedom of Information and Protection of Privacy Act and applicable University Policies.

Simon Fraser University’s Department of Mathematics invites applications for a postdoctoral fellowship in scientific machine learning and numerical methods for weather prediction. The fellow will work with Professors Ben Adcock and Steven Ruuth in collaboration with Environment and Climate Change Canada (ECCC). The position is supported through WxAlliance, a national research collaboration funded by NSERC Alliance Society.

The research will explore how machine learning and numerical modelling can be combined to improve the accuracy, reliability and efficiency of weather forecasts, with a particular interest in the Canadian Arctic and other regions where observations are sparse. Possible directions include operator learning, active learning, and numerical methods for models that combine physical equations with learned components. The specific research direction will be developed with the successful candidate, drawing on their expertise and interests.

We seek applicants with outstanding research potential in scientific machine learning, numerical analysis, scientific computing, or related areas. Strong scientific computing skills are essential. Prior experience in weather prediction is welcome but is not required. The fellow will have scope to develop an independent research direction within the project, collaborate with ECCC scientists and researchers across Canada, and contribute to mentoring graduate and undergraduate students.

Appointment and remuneration

• Duration: An initial appointment of 12 months, renewable for a second year subject to satisfactory progress and availability of funding.
• Salary and benefits: CAD $62,500 per year, plus mandatory benefits.
• Start date: Between January 1 and September 1, 2027, by mutual agreement.
• Teaching: The fellow may have the opportunity to teach up to one undergraduate course per year, by mutual agreement. Teaching is optional, will be arranged separately, and will be paid in addition to the fellowship salary.

Qualifications

Excellence in research is the primary selection criterion. Applicants should:

• Hold a PhD in mathematics, applied mathematics, computer science, atmospheric science, physics or a closely related discipline by the start date.
• Have a strong research record in one or more relevant areas, including scientific machine learning, numerical analysis, scientific computing or numerical weather prediction.
• Demonstrate strong scientific programming skills and the ability to develop and evaluate computational methods.
• Communicate effectively and contribute to a collaborative research environment.

Experience with machine learning frameworks, numerical PDE solvers or weather models would be an asset. Applicants are not expected to have expertise in all these areas.

Eligibility

Applications are welcome from candidates of all nationalities, including those currently studying or working in Canada.

How to apply

Applications and reference letters must be submitted through MathJobs.

Applications received by November 15, 2026 will receive full consideration.

Please include:

• A cover letter of no more than two pages describing your research interests and fit with the position.
• A current curriculum vitae, including a publication list.
• A research statement of two to four pages describing your previous work and possible future research directions relevant to the position.
• Two examples of published or submitted scholarly work, or links to preprints.
• Three reference letters submitted directly through MathJobs.
• An optional teaching statement if you wish to be considered for teaching opportunities.

Enquiries about the position may be directed to Professor Ben Adcock (ben_adcock@sfu.ca) or Professor Steven Ruuth (steven_ruuth@sfu.ca).