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Tenure Track Faculty Positions

Carleton University


Location:
Ottawa, Ontario
Date:
10/30/2017
2017-10-302017-11-29
Job Type:
Employee
Categories:
  • Faculty
Carleton University
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Job Details

Four faculty positions in Data Science, AI or Systems.

The School of Computer Science at Carleton University in Ottawa,
Canada invites applications from qualified candidates for four
tenure-track appointments in Computer Science at the rank of Assistant
Professor.

Three of the positions are in Data Science/Data Analytics or AI. For
AI, we are particularly interested in Machine Learning and other parts
of AI that are relevant to Data Science. The fourth position is in
Systems, specifically Operating Systems, Distributed Systems and
Networks. For the systems position, a fit with our existing Security
group will be considered a strong asset.

The School has 30 full-time faculty members and particular research
strengths in bioinformatics, computational geometry, computer
security, big data analytics, databases and information systems,
graphics, HCI, high-performance computing, and networks and
distributed computing. The School offers a Bachelor of Computer
Science degree and graduate programs at the Masters and
Ph.D. level. For more information about the School of Computer
Science, please consult scs.carleton.ca.

A Ph.D. in Computer Science or a related field is required. Candidates
should provide evidence of strong research potential and should have a
commitment to excellence in teaching at both the undergraduate and
graduate level.

Applications should include a curriculum vitae and supporting
documents and should be sent electronically as a single PDF file to
search17@scs.carleton.ca. Supporting documents should include: a
statement of research interests; a description of teaching interests
and experience; and the names of at least three
references. Applications will be accepted until the position is
filled, but for full consideration submit your application by December
1, 2017. Please indicate in your application if you are a Canadian
citizen or permanent resident of Canada. Please also say which
position you are applying for: either AI/Data Science, or Systems.

Located in Ottawa, Ontario, Carleton University is a dynamic and
innovative research and teaching institution committed to developing
solutions to real world problems by pushing the boundaries of
knowledge and understanding. Its internationally recognized faculty,
staff, and researchers provide academic opportunities in more than 100
programs of study to more than 28,000 full- and part-time students,
from every province and more than 100 countries around the
world. Carleton’s creative, interdisciplinary, and international
approach to research has led to many significant discoveries and
creative work in science and technology, business, governance, public
policy, and the arts.

Minutes from downtown, Carleton University is located on a beautiful
campus, bordered by the Rideau River and the Rideau Canal. With over
12 national museums and the spectacular Gatineau Park close by, there
are many excellent recreational opportunities for individuals and
families to enjoy. The City of Ottawa, with a population of almost one
million, is Canada’s capital city and reflects the country’s bilingual
and multicultural character. Carleton’s location in the nation’s
capital provides many opportunities for research with groups and
institutions that reflect the diversity of the country.

Carleton University is strongly 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 or
gender identity and expressions.

Those applicants that are selected for an interview will be requested
to contact the Chair of the Search Committee as soon as possible to
discuss any accommodation requirements. Arrangements will be made to
accommodate requests in a timely manner.

All qualified candidates are encouraged to apply; however Canadians
and permanent residents will be given priority. All positions are
subject to budgetary approval.