"Assistant Professor in Robotics, 3D Computer Vision and Computer Graphics"

About the Team

The Faculty of Science is internationally recognized for excellence in research and education. Through pioneering discovery and innovation, the faculty addresses global challenges across disciplines such as biology, chemistry, computing science, physics, mathematics, and earth sciences. Its work positions the university at the forefront of technological, environmental, and scientific advancement.

Description

This position is part of the Association 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, which is in accordance with the Schedule A Academic Faculty Agreement, and offers a comprehensive benefits package.

Location - This role is in-person at North Campus, Edmonton.

The Department of Computing Science invites applications for a tenure-track Assistant Professor position, starting as early as July 1st, 2026, in the area of Robotics, 3D Computer Vision and Computer Graphics; and with strong fundamentals in mathematical and geometric modeling. We value interdisciplinary research topics that span across areas, focus on real-world physical robotics and embodied computing. UofA has significant strength in ML/AI and collaborations between CS and Engineering on robotics and vision.

Responsibilities

• Supervise graduate students
• Teach graduate and undergraduate courses
• Establish their own research program by conducting independent research in the target area, disseminating research results, and applying for external funding for their research program

Qualifications

The successful candidates must hold a Ph.D. (or equivalent) degree, by the appointment date. They are expected to have demonstrated strong research potential evidenced by publications in top venues (conferences or journals) within robotics, vision and/or graphics. They should also have strong communication skills and demonstrated commitment to highly effective graduate and undergraduate teaching. Strong potential for productive interactions with other researchers in the department and in other disciplines at the University of Alberta, including roboticists in the Faculty of Engineering and the Faculty of Medicine, will be considered an asset.

How to Apply

Applicants are asked to submit the following documents:

• A full curriculum vitae.
• A 2-3 page research statement:
  • highlighting their most significant research contributions,
  • presenting their research plans for the first 5 years after their initial appointment, and
  • describing how the candidate will interact, collaborate with, and complement current research activities at the University of Alberta.
• A 1-2 page teaching statement including their experience and interests.
• A description of their plans for helping to reduce inequities, remove barriers to access, and cultivate a sense of belonging in their teaching, research, mentorship, and service. This could be done in a separate 1-2 page statement, or throughout the application.
• One recent peer-reviewed published contribution to their field of research, that best exemplifies their research.
• A cover letter.
• We also require three confidential letters of reference. Please arrange to have these letters sent directly by your referee to cs.ea@ualberta.ca, noting your application.

Please click “Apply Now” to submit the requested documents.

Complete applications and all reference letters must be received by January 12, 2026, for full consideration. Interviewees will have the opportunity to express the need for any accommodations, e.g., related to one's mobility, dietary restrictions, child care, etc.

For further information, please email Britta Nielsen, the Department Chair’s Executive Assistant, at cs.ea@ualberta.ca (using “Faculty Positions 2026” as the email’s subject).

About the Department of Computing Science

The Department of Computing Science is one of the largest and oldest computing science departments in Canada. The Department has 50 tenured/tenure-track faculty members and 7 academic teaching staff who are recognized for their excellence in research and teaching at the international, national, and university level. The Department’s student population involves over 400 graduate and 2400 undergraduate students. The total undergraduate enrollment in Computing Science courses is over 6400 in each fall or winter term. The University of Alberta is home to over 44,000 students from 156 countries (divided roughly as 80% undergraduate and 20% graduate students) and 600 postdoctoral fellows. The Department ranks first among Canadian universities in ML/AI and second in Robotics (CSRankings).

There is strong support and mentoring in place for developing a successful career. Both the CS department and Engineering have state-of-the-art robotics labs. We have a shared CFI (Canadian Foundation for Innovation) funded multidisciplinary lab with high-end cable-drive Barrett WAM manipulators from the DARPA ARM manipulation challenge, assistance and industrial robot arms and mobile rovers.

Many research projects at UofA are collaborative, and there are collaboration opportunities with both CS, Engineering, and other faculties, as well as the Alberta Machine Intelligence Institute (Amii). Amii is one of three institutes named in the Pan-Canadian AI Strategy and consists of more than 35 artificial intelligence and machine learning researchers at the U of A, as well as CCAI Chairs at postsecondary institutions across Western Canada. The University of Alberta is world-renowned for its strength in AI and ML.

The University of Alberta is committed to practices that advance Access, Community and Belonging (EDI Strategic Plan) and to reconciliation (Indigenous Strategic Plan). The computing science department is committed to advancing ACB, and has an active EDI initiative. We welcome applications from all qualified persons, including those with non-traditional career paths.

Applicants are also encouraged to discuss, in their submitted statements (see above), how they will ensure access and promote community and belonging in teaching and foster equity, diversity and inclusion in research.

We offer a competitive market salary. For information about the responsibilities, salary, benefits, leaves, and related details, see the most recent collective agreement for academic faculty members.