Open Tenure‑Stream Position

The Faculty of Computer Science at Dalhousie University invites applications for up to three tenure-stream Assistant Professor positions in any area of Computer Science.

About the Faculty of Computer Science: The Faculty of Computer Science is a research focused faculty with over 50 faculty members, including Tier I and Tier II Canadian Research Chairs. Around one quarter of our 2000 students are enrolled in master’s or doctoral programs. The Faculty also partners with other Faculties and departments (including management, medicine, law and statistics) to offer various multi-disciplinary study streams under the Master of Digital Innovation and is an active participant in the Interdisciplinary PhD program.

Dalhousie’s Faculty of Computer Science offers a supportive, inclusive, multicultural, research-oriented environment with a firm commitment to justice, equality, diversity and inclusion. The Faculty offers reasonable teaching loads (with excellent TA support), and competitive pay and benefits (including health insurance, dental insurance and an exceptional pension plan). The Faculty supports new hires with moving assistance and start-up funding. Early-career researchers will enjoy the collaborative lab environment; mentoring; peer support for teaching, research, and grant writing; and extensive ties to local industry.

About Dalhousie University: Dalhousie University is one Canada’s U15 group of research-intensive universities. The funding situation is excellent: active researchers have many opportunities for both investigator-led operating grants and support for industry collaboration.

Dalhousie is located in Halifax, Nova Scotia, Canada. Halifax is the largest city in Atlantic Canada and is vibrant, multicultural, and welcomes many newcomers. It is also a regional tech hub, and affords residents with a high quality of life. We enjoy a wide variety of restaurants, parks, playgrounds, watersports in the summer, snow sports in the winter, a vast number of arts and cultural events, an excellent library system, and a passable public transit system. Nova Scotia is home to many beautiful communities, campgrounds, trails, lakes, rivers, beaches, lighthouses and opportunities for running, hiking, cycling, ATVing, boating and generally exploring the great outdoors. Located in one of Canada’s more temperate areas, Nova Scotia gets warm, sunny summers, long, colorful autumns and cool, snowy winters.

Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Indigenous persons, persons with a disability, racially visible persons, women, persons of a minority sexual orientation and/or gender identity, and all candidates who would contribute to the diversity of our community. For more information, please visit Human Rights and Equity Services. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Qualifications: The successful candidate will provide evidence of high-quality scholarly output that demonstrates a record of independent research. The candidate must hold a PhD in Computer Science or a related area by the appointment date. Evidence of a strong commitment to and aptitude for both research and teaching is essential. The ideal candidate will be open to collaborative research across disciplines.

The successful candidate will teach both undergraduate and graduate courses, participate in course development at both the undergraduate and graduate-level, supervise and mentor students, and support the Faculty’s initiatives. The applicant will be expected to establish a strong externally funded research program, and foster existing and new collaborations with government, industry, and with other members of Dalhousie’s research community.

A successful candidate with a high level of research activity in the area of artificial intelligence may be recommended for a Canada CIFAR Artificial Intelligence Chair and/or an affiliation to the Vector Institute.

Application Instructions: Applications must include an application letter, curriculum vitae, statements of research and teaching interests, sample publications, and the names and full contact information of three referees.

Applicants are encouraged to indicate in their research statement how they see their research fit in one or more of the Faculty’s research concentrations, described here. The Faculty is particularly interested in building further strength in its research areas in computer science education, visual analytics, distributed systems, and deep learning.

Review of applications will commence on December 15, 2021. However, applications will be accepted and reviewed until the position is filled.

All application materials should be submitted directly through People Admin except for the letters of reference. Candidates should be prepared to have their referees forward their letters of refence upon request.