School of Computing – Tenure-track Faculty Position

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 with specialization in Foundations of Computer Science including Theory of Computation, Computer Systems, Database and Big Data, and Programming Languages. Exceptional candidates in other areas may be considered. The preferred starting date is July 1, 2017.

Candidates must have a PhD or equivalent degree in Computer Science, Software Engineering or a related discipline completed at the start date of the appointment. The main criteria for selection are academic and teaching excellence. The successful candidate is expected to play a major role in the delivery of undergraduate and graduate programs at the School of Computing. The successful candidate will provide evidence of high quality scholarly output that demonstrates potential for independent research leading to peer-assessed publications in one of the foundational areas of Computer Science. A commitment to secure external research funding, as well as strong potential for outstanding teaching contributions at both the undergraduate and graduate levels, and an ongoing dedication to academic and pedagogical excellence in support of the School’s programs are requirements for this position. Candidates must provide evidence of an ability to work collaboratively in an interdisciplinary and student-centred environment. The successful candidate will be required to make substantive contributions through service to the School, the Faculty, the University, and/or the broader community. Salary will be commensurate with qualifications and experience.

Queen’s University is one of Canada’s leading research-intensive universities with a global reputation and is a recognized leader in Canadian higher education. The School of Computing has 21 full-time and 18 cross-appointed faculty, over 500 undergraduate students, and over 140 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 and Ultra Large Scale Systems.

Queen’s historic campus is located in the heart of the vibrant Kingston community in the Thousand Islands region of South Eastern Ontario. Queen’s is positioned centrally with respect to three major metropolitan areas: Toronto, Montreal, and Ottawa. Additional information about Queen’s University, which may be of interest to prospective faculty members, can be found at http://www.queensu.ca/facultyrecruitment.

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.

A complete application consists of:

  • a cover letter (including one of the two statements regarding Canadian citizenship / permanent resident status specified in the previous paragraph);
  • a current Curriculum Vitae (including a list of publications);
  • a statement of research interests;
  • a statement of teaching interests and experience (including teaching outlines and evaluations if available); and,
  • the names and contact information of three referees.

The deadline for applications is March 31, 2017. Applicants are encouraged to send all documents in their application package electronically as a single PDF, Attn: Chair of Faculty Search Committee at CSsearch@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

The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes 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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Postdoc Position Available

Posting Date:

March 14, 2017

Job Title:

SOSCIP Post-Doctoral Fellow

Department:

School of Computing

Description of Area or Topic of Research:

Big Streaming Data Analytics System

Project Title: Empowering SmartTarget with a Multi-level Streaming Data Analytics Infrastructure for Predictive Analytics

Supervision and Academic Unit:

Dr. Farhana Zulkernine, industry partner Predikat

Remuneration:

$57,500 CDN per year

Start Date and Duration of Appointment:

May 1st 2017 or earlier

Required Qualifications:

We seek a candidate with proven expertise in big streaming data analytics engines, Apache Spark for in-memory data analytics and machine learning techniques for developing a data analytics framework that will be adopted by our industry partner for real life applications. A PhD in Computer Science or a comparable qualification is required. The successful candidate must have a good research record with publications in relevant international conferences and journals in Big Data Analytics and Management Systems and Machine Learning. The candidate is expected to have an active role in various collaboration efforts with other universities and industry, both at the national and international level. Good communication and project management skills and willingness to work in a team are essential. Additional information about Dr. Zulkernine’s research and the project can be found at http://cs.queensu.ca/~farhana/.

The position is for two years and is funded by SOSCIP (Southern Ontario Smart Computing Innovation Platform). You will be working in the Big Data Management, Analytics and Cognitive Computing laboratory.  The School of Computing is one of the premier computing 

departments in Canada with about 30 faculty members and close to 150 graduate students. Kingston is Canada’s first capital and is centrally located between Toronto, Ottawa, and Montreal. The United Nations rates Canada as one of the best countries in the world to live.

Required Documentation:

The application package should consist of:
1) A cover letter explaining experiences relevant to the project. 
2) A curriculum vitae with detailed information regarding your academic degree, research projects and publications.
3) Names and email addresses of three referees.
4) Sample publications (1-2 recent publications).

Application Deadline:

April 1st, 2017

Application Procedure:

Apply by email by sending the application package to farhana@cs.queensu.ca.

EMPLOYMENT EQUITY: The University invites applications from all qualified candidates. 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 persons of any sexual orientation or gender identity.

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School of Computing Teaching Opportunities

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

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Postdoctoral Fellowship Opportunities

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

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