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Assistant or Associate Professor in Applied Machine Learning in Advanced Manufacturing
Assistant or Associate Professor in Applied Machine Learning in Advanced ManufacturingCanadian Coalition of Women in Engineering, Science, Trades and Technology (CCWESTT) • Edmonton, Division No. 11, CA
Assistant or Associate Professor in Applied Machine Learning in Advanced Manufacturing

Assistant or Associate Professor in Applied Machine Learning in Advanced Manufacturing

Canadian Coalition of Women in Engineering, Science, Trades and Technology (CCWESTT) • Edmonton, Division No. 11, CA
30+ days ago
Job type
  • Full-time
  • Permanent
Job description

Assistant or Associate Professor in Applied Machine Learning in Advanced Manufacturing

Join to apply for the Assistant or Associate Professor in Applied Machine Learning in Advanced Manufacturing role at Canadian Coalition of Women in Engineering, Science, Trades and Technology (CCWESTT).

Closing Date : 1 / 5 / 2026

Location : Edmonton, AB

Job Schedule : Full Time

Category Type : Engineering – Mechanical

Position Type : Faculty (Includes Asst. Professors, Associate Professors)

College / Administrative Portfolio : College of Natural And Applied Sciences

Faculty / Department : Engineering

About the Team The University of Alberta’s College of Natural and Applied Sciences (CNAS) is one of North America’s top engineering schools, known for innovation, collaboration, and impact. It fosters an exceptional student experience through a holistic approach that combines technical excellence with emotional intelligence. With strong community engagement, interdisciplinary research, and a commitment to societal well‑being, the faculty prepares students to lead in a rapidly evolving, global engineering landscape.

Description This position is part of the Academic Staff of the University of Alberta (AASUA). The successful candidate will be offered a tenured or tenure‑track appointment with the rank of Assistant Professor. The role is in the Department of Mechanical Engineering, focusing on applying machine learning to advanced manufacturing, design of multifunctional materials, high‑throughput manufacturing, digital twin, hybrid manufacturing, and experimental or computational mechanics for advanced structural materials.

The applicant must be able to teach broadly in the undergraduate mechanical engineering program. Exceptional candidates in closely related areas or at the rank of Associate Professor may be considered.

Responsibilities include teaching, research, and service :

  • Teaching (40%) – participation in teaching programs, classroom teaching, supervision of student research, and advising. Courses typically offered in the Fall and Winter semesters.
  • Research (40%) – preparation and dissemination of research results, including publications and grant applications.
  • Service (20%) – active engagement in university governance, departmental service, and public outreach.

Licensure as a Professional Engineer is required. Licensure must be obtained within five years of hire date.

Qualifications

  • Ph.D. in mechanical engineering, industrial engineering, or a related field.
  • Demonstrated ability to communicate research results, including peer‑reviewed publications.
  • Teaching experience and training in curriculum design.
  • Excellent written and verbal communication skills.
  • Ability to teach broadly in the undergraduate mechanical engineering program.
  • Qualifications Considered An Asset

  • Teaching experience and training.
  • Community outreach and service experience.
  • Professional engineering licensure or progress toward licensure.
  • Grant application and financial management experience.
  • Industry experience in engineering, trades, sciences, and technology.
  • Interdisciplinary research experience and large‑scale project management.
  • Partnership with industry and community partners.
  • Lab and facility management experience.
  • How To Apply – Ensure that your application clearly demonstrates how your skills and experience meet the criteria above.

  • Cover letter
  • Curriculum vitae (research, teaching, and service experience)
  • Research plan (maximum 2 pages)
  • Leadership philosophy (maximum 1 page)
  • Up to 3 recent peer‑reviewed publications
  • Statement of teaching interests (maximum 2 pages)
  • Evidence of teaching effectiveness
  • Additional information as required by the selection committee
  • Next Steps – Applications are accepted until Sunday, 4 January 2026 at 11 : 55 p.m. The hiring committee will review packages and invite selected candidates for an online pre‑interview. Referencing letters will be requested from successful interviewees.

    Benefits The University of Alberta offers a comprehensive benefits package that includes a health‑spending account, parental leave, pension benefits, and possible relocation support.

    Applicants must be able to meet all applicable research security requirements. Federal funding participation is required for the incumbent. Government‑funded research projects require active ability to receive federal research funds on behalf of the university.

    All qualified candidates are encouraged to apply; Canadians and permanent residents will be given priority. At the University of Alberta, we are committed to creating an inclusive and accessible hiring process. Accommodations are available.

    We acknowledge that we are located on Treaty 6 territory and respect the histories, languages, and cultures of First Nations, Métis, Inuit, and all First Peoples.

    We welcome applicants from all qualified persons, including women, First Nations, Métis, Inuit, visible minorities, persons with disabilities, and all gender identities.

    To apply, visit : https : / / apptrkr.com / 6674710

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    Assistant Professor • Edmonton, Division No. 11, CA

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