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 Big Data Analytics, Machine Learning or related areas, with a preferred starting date of January 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 the Cognitive Science program 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 the areas of Data Analytics, Cognitive Science, and Machine Learning. Exceptional candidates in other areas may be considered. A proven ability to secure external research funding, as well as strong potential for outstanding teaching contributions at both the undergraduate and graduate levels, and an ongoing commitment 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 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 May 31, 2016. 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
The School of Computing
557 Goodwin Hall
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 email@example.com.
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.