Field of Specialization: Artificial Intelligence
Academic Unit: School of Computer Science
Category of Appointment: Preliminary (Tenure-Track)
Rank/Position Title: Assistant Professor
Position Start Date: July 1, 2022
Application Closing Date: October 1, 2021
About the Position:
The School of Computer Science at Carleton University in Ottawa, Canada invites applications from qualified candidates for a tenure-track appointment in Computer Science at the rank of Assistant Professor.
The position is in Artificial Intelligence. The candidate should have an established research record in one or more aspects of Artificial Intelligence, with demonstrated interest in diverse aspects of the practice and discipline of Artificial Intelligence. We are particularly looking for expertise in reinforcement learning, natural language processing, and computer vision. We invite applicants eager to build a strong, externally funded, visible, innovative, and internationally recognized research program.
The School seeks to maintain its commitment to excellence and recognizes that increasing the diversity of its faculty supports this objective. As such, we especially encourage applications from candidates from groups underrepresented in Computer Science and/or with experience in mentoring students from such groups.
To see the full position posting, please visit https://carleton.ca/provost/jobs/academics/.
About the Academic Unit:
The School has 40 full-time faculty members. Research strengths are big data analytics, computer security, graphics, HCI, high-performance computational geometry, computing, databases and information systems, distributed computing. machine learning and networks. The School offers a Bachelor of Computer Science degree and graduate programs at the Masters and Ph.D. levels. The School also administers a collaborative master’s in Data Science (Institute for Data Science – Carleton University). For more information about the School of Computer Science, please consult www.scs.carleton.ca
A Ph.D. in Computer Science (or closely related discipline) is required by the position start date. Candidates should provide evidence of strong international-calibre research potential and should have a commitment to excellence in teaching at both the undergraduate and graduate levels. The candidate is expected to teach undergraduate Computer Science courses and graduate courses in Artificial Intelligence and Data Science. We will favorably consider applicants with an interest and demonstrated aptitudes for building bridges with community, industry, and government agencies.
Applications should include a curriculum vitae and supporting documents. These should be sent electronically as a single PDF file to firstname.lastname@example.org.
Submitted documents should include
- A curriculum vitae
- a statement of research interests (including brief summary of past research activities and outline of planned activities) (maximum 3 pages)
- a description of teaching interests and experience. (maximum 2 pages)
- an equity, diversity, and inclusion (EDI) statement that identifies any past activities, training, and experiences in advancing EDI in your previous institutional environment (e.g., curriculum development, classroom or research practices, supporting diverse students) and future plans. (maximum 2 pages)
Your application materials should also describe your experience and activities relating to outreach, mentoring and research training, describe any leadership and academic service roles, and may also describe any non-traditional research outputs if applicable.
Applicants should arrange for at least three references to e-mail their reference letters to email@example.com. Applications will be accepted until the position is filled, but for full consideration submit your application (including reference letters) by October 1, 2022.
Please indicate in your application if you are a Canadian citizen or permanent resident of Canada.
About Carleton University:
Carleton University is a dynamic and innovative research and teaching institution with a national and international reputation as a leader in collaborative teaching and learning, research and governance. To learn more about our university and the City of Ottawa, please visit www.carleton.ca/about.
Carleton University is committed to fostering diversity within its community as a source of excellence, cultural enrichment, and social strength. We welcome those who would contribute to the further diversification of our university including, but not limited to: women; visible minorities; First Nations, Inuit and Métis peoples; persons with disabilities; and persons of any sexual orientation, gender identity and/or expression. Furthermore, Carleton understands that career paths vary and interruptions will not prejudice the assessment process. Please visit our Department of Equity and Inclusive Communities for information about our commitment to leadership in the areas of equity, diversity, and inclusion: https://carleton.ca/equity/.
Accessibility is a university strategic priority and applicants selected for an interview who require accommodations are invited to contact the Director of the School of Computer Science (firstname.lastname@example.org) as soon as possible to ensure that appropriate arrangements may be made.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. All positions are subject to budgetary approval.
Carleton University acknowledges the location of its campus on the traditional, unceded territories of the Algonquin nation. In doing so, Carleton acknowledges it has a responsibility to the Algonquin people and a responsibility to adhere to Algonquin cultural protocols.