Faculty Position 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 Associate Professor or Professor. The preferred start date for the appointment is January 1, 2021. Salary will be commensurate with qualifications and experience.

Candidates should have a Ph.D. in Computer Science or a related discipline. A strong record of post-secondary teaching, curriculum development, and/or other relevant leadership experience are required.  Experience in securing external research funding would be an asset. The candidate will build on and extend the School’s existing research strengths in smart infrastructures and cyber-physical systems.

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 capacity for research in a field related to computer science. 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.

Qualified candidates must provide evidence of high-quality scholarly output that demonstrates potential for independent research, including supervision of undergraduate and graduate students. 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 Queen’s School of Computing (QSC), an international leader in learning and discovery is seeking a candidate that can play a pivotal role in the re-thinking of our curriculum for the delivery of hybrid (online/on-campus) degrees in Computing, as well as the re-imaging of the future of an academic department in a virtual world.

The School of Computing has 35 full-time and 20 cross-appointed faculty, over 600 undergraduate students, and over 130 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. The School also offers Master’s, and Doctoral programs in Computer Science.

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. Visit Inclusive Queen’s for information on equity, diversity and inclusion resources and initiatives.

The University invites applications from all qualified individuals. Queen’s is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, Aboriginal peoples, persons with disabilities, and LGBTQ 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.

In addition, 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 October 7, 2020.  Applicants are encouraged to send all documents in their application packages electronically as a single PDF, Attn: Chair of Faculty Search Committee at cssearch2020@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 refletter2020@cs.queensu.ca by the closing date of October 7, 2020. Only candidates selected for interviews will be contacted.

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 Tom Bradshaw in the School of Computing at bradshaw@cs.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.

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Teaching Assistant Positions available for 2020-2021 in the School of Computing

The Teaching Assistant Positions are available in the School of Computing for the 2020-2021 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.

Incomplete applications will not be considered.

You must reside in Canada 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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Teaching Position Available for the School of Computing – Summer 2020

The School of Computing at Queen’s University invites applications from suitably qualified candidates interested in teaching courses shown below.

The University invites applications from all qualified individuals. Queen’s University is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, aboriginal people, persons with disabilities, and persons of any sexual orientation or gender identity. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Applications will be received until May 15, 2020. Review of applications will commence shortly thereafter, and the final appointment is subject to budgetary approval. Additional information about the School of Computing can be found at http://www.queensu.ca

Courses available are listed below.

To apply as a Term Adjunct, see: http://flux.cs.queensu.ca/employment/applying-for-a-term-adjunct-position/

To apply as a Teaching Fellow, see: http://flux.cs.queensu.ca/employment/applying-for-a-teaching-follow-position/

 



Academic Year 2019/2020 Summer Term

This summer term period is from July 1, 2020 to August 31, 2020.

Classes will be in session from July 2, 2020 to August 10, 2020.

Applications will be received until May 15, 2020.



CISC 101/3.0 Elements of Computing Science
Introduction to algorithms: their definition, design, coding, and execution on computers. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
NOTE Also offered online. Consult Arts and Science Online. Learning Hours may vary.
LEARNING HOURS 120 (36L;24Lb;60P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 110/3.0; CISC 151/3.0
ONE-WAY EXCLUSION May not be taken with or after: CISC 121/3.0; CISC at the 200-level or above.

(This course will be offered online.)


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Teaching Positions Available for the School of Computing – 2020-21 Academic Year

The School of Computing at Queen’s University invites applications from suitably qualified candidates interested in teaching courses shown below.

The University invites applications from all qualified individuals. Queen’s University is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, aboriginal people, persons with disabilities, and persons of any sexual orientation or gender identity. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Applications will be received until March 20, 2020. Review of applications will commence shortly thereafter, and the final appointment is subject to budgetary approval. Additional information about the School of Computing can be found at http://www.queensu.ca

Courses available are listed below.

To apply as a Term Adjunct, see: http://flux.cs.queensu.ca/employment/applying-for-a-term-adjunct-position/

To apply as a Teaching Fellow, see: http://flux.cs.queensu.ca/employment/applying-for-a-teaching-follow-position/

 



Academic Year 2020/2021 Fall Term

This fall term period is from September 1, 2020 to December 31, 2020.

Classes will be in session from September 8, 2020 to December 4, 2020.

Applications will be received until March 20, 2020.



CISC 101/3.0 Elements of Computing Science
Introduction to algorithms: their definition, design, coding, and execution on computers. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
NOTE Also offered online. Consult Arts and Science Online. Learning Hours may vary.
LEARNING HOURS 120 (36L;24Lb;60P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 110/3.0; CISC 151/3.0
ONE-WAY EXCLUSION May not be taken with or after: CISC 121/3.0; CISC at the 200-level or above.


CISC 181/3.0 Digital Societies
This introductory course provides a broad overview and ethical implications of technological topics and trends in the digital world such as the Internet of Things (IoT), Social Networks, Security and Privacy, Data Analytics, and Artificial Intelligence (AI). No programming experience is required.
LEARNING HOURS 120 (36L;84P)
EQUIVALENCY CISC P81/3.0


CISC 282/3.0 Fundamentals of Web Development
This course surveys current best practices for implementing attractive, usable, secure and maintainable web applications. Other issues considered include: accessibility, platform and browser independence, licensing of intellectual property, scalability, user privacy, and using web technologies in mobile development.
LEARNING HOURS 120 (36L;48O;36P)
PREREQUISITE Level 2 and C-in CISC 124/3.0.
EQUIVALENCY CISC P82/3.0.


CISC 422/3.0 Formal Methods in Software Engineering
Mathematical methods for describing software behaviour and structure. Topics include (but are not limited to) the following: Requirements specification. Module specification: axiomatic, algebraic, and trace specifications. Abstract models. Verification. Specification-based validation.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Level 4 and registration in a School of Computing Plan and C-in CISC 223/3.0.


CISC 451/3.0 Topics in Data Analytics
Content will vary from year to year; typical areas covered may include: tools for large scale data analytics (Hadoop, Spark),data analytics in the cloud, properties of large scale social networks, applications of data analytics in security.
LEARNING HOURS 120(36l;36Lb;48P)
PREREQUISITE C-in (CISC 333/3.0or CISC 351/3.0or CISC 372/3.0).


CISC 467/3.0 Fuzzy Logic
History of fuzzy theory; fundamental concepts of fuzzy theory: sets, relations, and logic operators. Approximate reasoning, fuzzy inference, possibility theory. Separation from probability. Fuzzy control systems. Fuzzy pattern recognition. Advanced topics may include fuzzy expert systems, financial systems, graph theory, optimization.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Level 4 and registration in a BCMP or COCA Plan and C-in CISC 204/3.0.


COGS 201/3.0 Cognition and Computation
Introduction to the computational aspects of the mind. Implementation of computer programs for reasoning, decision making, and problem solving to understand these mental processes. Information theory and behaviourism; computational models of cognition, perception and memory processes demonstrating modeling approaches, and cognitive architectures.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Level 2 or above and C‐ in (COGS 100/3.0 or PSYC 100/6.0). EXCLUSION(S) COGS 200/6.0; PSYC 220/6.0



Academic Year 2020/2021 Winter Term

This fall term period is from January 1, 2021 to April 30, 2021.

Classes will be in session from January 4, 2021 to April 9, 2021.

Applications will be received until March 20, 2020.



CISC 101/3.0 Elements of Computing Science
Introduction to algorithms: their definition, design, coding, and execution on computers. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
NOTE Also offered online. Consult Arts and Science Online. Learning Hours may vary.
LEARNING HOURS 120 (36L;24Lb;60P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 110/3.0; CISC 151/3.0
ONE-WAY EXCLUSION May not be taken with or after: CISC 121/3.0; CISC at the 200-level or above.


CISC 151/3.0 Elements of Computing with Data Analytics
Introduction to algorithms: their definition, design, coding, and execution on computers, with applications drawn from data analytics, including simple prediction and clustering. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
LEARNING HOURS 120 (36L;36Lb;48P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 101/3.0; CISC 110/3.0
ONE-WAY EXCLUSION May not be taken with or after CISC 121/3.0; CISC; SOFT at the 200-level and above.


CISC 181/3.0 Digital Societies
This introductory course provides a broad overview and ethical implications of technological topics and trends in the digital world such as the Internet of Things (IoT), Social Networks, Security and Privacy, Data Analytics, and Artificial Intelligence (AI). No programming experience is required.
LEARNING HOURS 120 (36L;84P)
EQUIVALENCY CISC P81/3.0


CISC 226/3.0 Game Design
An introduction to techniques for designing elementary computer games. Topics will include game development tools and processes, principles of game design, game prototyping and game evaluation.
LEARNING HOURS 120 (36L;60G;24P)
PREREQUISITE Level 2 or above and C-in CISC 124/3.0.


CISC 324/3.0 Operating Systems
Layered operating systems for conventional shared memory computers: concurrent processes. Synchronization and communication. Concurrent algorithms. Scheduling. Deadlock. Memory management. Protection. File systems. Device management. Typical layers.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Registration in a School of Computing Plan and C-in (CISC 221/3.0 and CISC 235/3.0).


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Postdoctoral Fellowship Opportunities

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

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