School of Computing – Queen’s University, Canada
Tenure Track Position in Software Engineering
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 or Associate Professor in Software Engineering with a preferred starting date of July 1, 2020. In the case of an exceptional candidate, a tenured appointment at the rank of Associate Professor would be considered. All areas of Software Engineering are welcome. The following areas are of particular interest: Software Engineering with and for AI and Machine Learning, DevOps, Performance Engineering, Program Analysis, Testing and Software Quality.
The successful candidate 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 successful candidate is expected to play a major role in the delivery of graduate and undergraduate programs at the School of Computing. The main criteria for selection are academic and teaching excellence. The successful candidate will provide evidence of high quality scholarly output that demonstrates potential for independent research leading to peer-assessed publications and the securing of 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. Candidates should demonstrate 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. Excellent interpersonal skills and exceptional oral and written communication proficiency are required. Salary will be commensurate with qualifications and experience. This position is subject to final budgetary approval by the University.
Queen’s University is one of Canada’s leading research-intensive universities. We are focused on being the quality leader in Canadian higher education and are dedicated to promoting research and scholarship of national and international distinction. The School of Computing has 29 full-time and 20 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.
Queen’s University is one of the oldest universities in Canada and has a global reputation for teaching and research excellence. The main campus is located within walking distance to the vibrant downtown area. Kingston is on the shore of Lake Ontario and near the Thousand Islands region of south-eastern Ontario. Kingston and the surrounding region boast a wide range of recreational opportunities and a rich arts and cultural community. In addition to Queen’s University, Kingston is home to St. Lawrence College and the Royal Military College of Canada.
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,
three letters of reference to be sent directly to 2020RefLetterSE@cs.queensu.ca.
The deadline for applications is . Applicants are encouraged to send all documents in their application packages electronically as a single PDF, Attn: Chair of Faculty Search Committee at 2020CSsearchSE@cs.queensu.ca; alternatively, hard copy applications may be submitted to:
Faculty Search Committee Chair
The School of Computing
557 Goodwin Hall
Kingston, Ontario 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/collec… and at http://www.qufa.ca.
Please reference Academic Positions in your cover letter when applying for or inquiring about this job announcement.
|Titel||Tenure Track Position in Software Engineering|
|Job location||99 University Avenue, K7L 3N6 Kingston, Ontario|
|Veröffentlicht||September 9, 2019|
|Jobart||Assistenzprofessur,   Tenure Track  |
|Fachbereiche||Künstliche Intelligenz,   Programmiersprachen,   Softwareentwicklung,   Softwaredesign,   Maschinelles Lernen  |