Faculty Position in Computing: Intelligent Internet of Things at Queen’s School of Computing

The School of Computing in the Faculty of Arts and Science at Queen’s University invites applications for a faculty position at the rank of Assistant or Associate Professor. The preferred start date for the appointment is July 1, 2022. Salary will be commensurate with qualifications and experience.

Candidates must hold a Ph.D. in Computer Science or a related discipline. The ideal candidate is required to demonstrate that they are an outstanding scientist and educator. The preferred candidate must demonstrate comprehensive research expertise that complements existing research areas in the School of Computing. The candidate will build on and extend the School’s existing research strengths in Internet of Things (IoT), Connected and Autonomous Vehicles, Distributed Computing and Networks and Mobile Edge Computing.

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 Intelligent IoT. While at the School of Computing, the successful candidate will be expected to 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 is 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 of 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, 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 December 13, 2021.  Applicants are encouraged to send all documents in their application packages electronically as a single PDF, Attn: Chair of Faculty Search Committee at cssearch2021@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
CANADA K7L 3N6

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 refletter2021@cs.queensu.ca by the closing date of December 13, 2021.

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).

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Tenure-Track Position in Theoretical Artificial Intelligence at Queen’s School of Computing

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 theoretical artificial intelligence (AI). The preferred start date for the appointment is July 1, 2022.

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 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 artificial intelligence (AI) and theory of computation. Salary will be commensurate with qualifications and experience.

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 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 November 30, 2021.  Applicants are encouraged to send all documents in their application packages electronically as a single PDF, Attn: Chair of Faculty Search Committee at cssearch2021@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
CANADA K7L 3N6

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 refletter2021@cs.queensu.ca by the closing date of November 30, 2021.

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).

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Teaching Assistant Positions available for 2021-2022 in the School of Computing

The Teaching Assistant Positions are available in the School of Computing for the 2021-2022 academic year.

To apply for a TA position:

  1. Go to https://auth.caslab.queensu.ca/ta/cisc. You will be prompted by the Queen’s sign-on portal for your netid and password.
  2. After logging on, provide your name and email to the system.
  3. Next, go to the “TA applications” tab at the top of the page, select “Provide background”, and provide your background information. Then click “Submit” at the bottom of the page.
  4. Finally, and only after providing your background and clicking “Submit” on that page, go to the “TA applications” tab, select “Apply”, and indicate the courses to which you are applying. Then click “Submit”.

The system will tell you when your application is complete.

Deadline is July 30, 2021. Incomplete applications will not be considered.

You must have a Canadian bank account to be hired as a TA.

For more information please contact:

Debby Robertson
Graduate Program Assistant
School of Computing
Queen’s University

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Postdoctoral Fellowship Opportunities

There are no positions currently available in the School of Computing.

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