Faculty Position in Computing: Theoretical AI

  • Anywhere

Website Queens University

The School of Computing in the Faculty of Arts and Science at Queen’s University invites applications for a Tenure-track faculty position at the rank of Assistant Professor or a Tenured faculty position at the rank of Associate Professor with specialization in theory of computation with applications to artificial intelligence (AI). The preferred start date for the appointment is January 1, 2023.


Candidates must hold a Ph.D. in Computer Science or a related discipline. The ideal candidate will be required to provide evidence of outstanding contributions as a scientist and educator. The preferred candidate must demonstrate comprehensive research expertise at the intersection of theoretical computer science that complements existing research areas in the School of Computing. The successful candidate will build on and extend the School’s existing research strengths in aspects related to the theory of computation and their application to artificial intelligence (AI). Salary will be commensurate with qualifications and experience.

The Queen’s University Policy Regarding Mandatory Vaccination Requirements for In-person University Activities requires ALL Community Members, including employees, to be Fully Vaccinated against COVID-19 prior to participating in any In-person University Activities. This is a condition of employment for all employees who are required to attend University Property to perform their employment responsibilities. Individuals who cannot be vaccinated due to substantiated grounds (medical and other protected grounds under the Ontario Human Rights Code) may ask the University to validate the exemption and request an accommodation in these rare circumstances. If approved, they will be subject to additional health and safety measures.


The main criteria for selection are: (i) a genuine, demonstrated commitment to academic and teaching excellence in a post-secondary computing education environment, and (ii) a demonstrated capacity for research in theory of computation as applied to AI. While at the School of Computing, the successful candidate will be expected to contribute to the theory of computing curriculum at the School of Computing, both through existing and newly created courses, and demonstrate outstanding teaching contributions at both the undergraduate and graduate levels, service and administration and research or scholarship. Support for course development and delivery as well as the scholarship of teaching and learning will be provided to the successful candidate by the Faculty of Arts and Science and through the Queen’s Centre for Teaching and Learning.


The successful candidate will be required to provide evidence of high-quality scholarly output that demonstrates the potential for independent research leading to peer-assessed publications and the potential of securing external research funding. Additionally, the successful candidate will be expected to:

·       work collaboratively in an interdisciplinary and student-focused environment;

·       contribute to academic and pedagogical excellence in support of the QSC programs, including on-line and professional programs; and

·       provide effective service contributions to the School, the Faculty of Arts and Science, the University, and the broader community.


The School of Computing has 35 full-time and 20 cross-appointed faculty, over 1200 undergraduate students, and over 200 graduate students. The School offers undergraduate programs in Computer Science, Software Design, Biomedical Computing, Computing and Mathematics, Computing and the Creative Arts and Cognitive Science, as well as dedicated major options in Artificial Intelligence, Biomedical Computation, Data Analytics, Fundamental Computation, Game Development, and Security. The School also offers Master’s, and Doctoral programs in Computer Science, with dedicated programs for Artificial Intelligence, Cybersecurity, Medical Informatics, and Biomedical Informatics.


People from across Canada and around the world come to learn, teach, and carry out research at Queen’s University. Faculty and their dependents are eligible for an extensive benefits package including prescription drug coverage, vision care, dental care, long term disability insurance, life insurance and access to the Employee and Family Assistance Program. You will also participate in a pension plan. Tuition assistance is available for qualifying employees, their spouses, and dependent children.  Queen’s values families and is pleased to provide a ‘top up’ to government parental leave benefits for eligible employees on maternity/parental leave.  In addition, Queen’s provides partial reimbursement for eligible daycare expenses for employees with dependent children in daycare. Details are set out in the Queen’s-QUFA Collective Agreement. For more information on employee benefits, see Queen’s Human Resources.


Additional information about Queen’s University can be found on the Faculty Recruitment and Support website. The University is situated on the traditional territories of the Haudenosaunee and Anishinaabe, in historic Kingston on the shores of Lake Ontario. Kingston’s residents enjoy an outstanding quality of life with a wide range of cultural, recreational, and creative opportunities. Please see Inclusive Queen’s for information on equity, diversity, and inclusion resources and initiatives.


The University invites applications from all qualified individuals. Queen’s is strongly committed to employment equity, diversity and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous/Aboriginal people, women, persons with disabilities, and 2SLGBTQ+ persons.  All qualified candidates are encouraged to apply, however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents of Canada will be given priority.


To comply with federal laws, the University is obliged to gather statistical information as to how many applicants for each job vacancy are Canadian citizens / permanent residents of Canada.  Applicants need not identify their country of origin or citizenship; however, all applications must include one of the following statements: “I am a Canadian citizen / permanent resident of Canada”; OR, “I am not a Canadian citizen / permanent resident of Canada”. Applications that do not include this information will be deemed incomplete.


The impact of certain circumstances that may legitimately affect a nominee’s record of research achievement will be given careful consideration when assessing the nominee’s research productivity. Candidates are encouraged to provide any relevant information about their experience and/or career interruptions.


A complete application consists of:


·       a cover letter (including one of the two statements regarding Canadian citizenship / permanent resident status specified above);

·       a current Curriculum Vitae (including a list of publications);

·       a statement of teaching interests and experience (including teaching outlines and evaluations if available);

·       a statement of research interests; and

·       the names and contact information of three referees.


Applications should be submitted on or before May 27, 2022.  Applicants are encouraged to send all documents in their application packages electronically as a single PDF, Attn: Chair of Faculty Search Committee at cssearch2022@cs.queensu.ca, although hard copy applications may be submitted to:


Faculty Search Committee Chair
The School of Computing
557 Goodwin Hall
Queen’s University
Kingston, Ontario


Applicants should arrange for ***THREE*** letters of recommendation to be sent directly by their three selected referees to the Chair of Faculty Search Committee at refletter2022@cs.queensu.ca by the closing date of May 27, 2022.


The University will provide support throughout the recruitment processes to applicants with disabilities, including accommodations that take into account an applicant’s accessibility needs. If you require accommodation during the interview process, please contact Robin Tippet in the School of Computing at robin.tippett@queensu.ca.


Academic staff at Queen’s University are governed by a Collective Agreement between the University and the Queen’s University Faculty Association (QUFA), which is posted at http://queensu.ca/facultyrelations/faculty-librarians-and-archivists/collective-agreement and at http://www.qufa.ca.

To apply for this job please visit flux.cs.queensu.ca.

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