Field of Specialization: Machine Learning in Electrical Engineering
Academic Unit: Electronics
Category of Appointment: Preliminary (Tenure-Track)
Rank/Position Title: Assistant Professor
Start Date: July 1, 2021
Closing Date: January 1, 2021

About the Position:

The Department of Electronics invites applications from qualified candidates for a tenure-track appointment in machine learning in electrical engineering at the rank of Assistant Professor beginning July 1, 2021.

The candidate will be expected to establish and lead an independent externally funded research program in the field of machine learning in electrical engineering including collaborations with internal and external partners. The candidate will be required to teach at both undergraduate and graduate levels and supervise student projects and thesis research. The candidate is also expected to contribute to the operation and development of the academic unit and the University including program and curriculum development.

We encourage applications from candidates from groups underrepresented in engineering and/or with experience in mentoring students from such groups. We will favorably consider candidates interested in promoting and supporting efforts in equity, diversity, and inclusion, particularly among women, visible minorities, Indigenous peoples, people with diverse gender identities, and people with disabilities.

About the Academic Unit:

The Department of Electronics is a research-intensive department with an active community including 28 full time faculty. The department is primarily responsible for delivering undergraduate programs in Electrical Engineering, Engineering Physics, and Sustainable and Renewable Energy Engineering and supports several other programs within the faculty. The department features outstanding research expertise in design automation, circuit design, semiconductor devices, electromagnetics, photonics, power and energy systems. Facilities enable the design, fabrication and testing of integrated circuit, sensor, MEMS, photonic, and microwave components. For more information, please visit our website at https://doe.carleton.ca/.

Qualifications:

The position requires a Ph.D. in Electrical Engineering or equivalent, and current membership in a professional engineering association in Canada or ability to obtain membership within 3 years of appointment. Candidates should provide evidence of research and teaching excellence. The candidate requires a background in machine learning and its application to problems in electrical engineering. This may involve novel applications of machine learning in any area of electrical engineering, including antennas, communications, controls, devices, hardware design, power and energy, sensor systems, or signal processing. The candidate should develop a research plan that complements current research activities in the Department of Electronics.

Application Instructions:

Applicants should send one PDF document including cover letter, curriculum vitae, research plan, teaching dossier, and the names of three referees. Applications should be sent electronically to chair@doe.carleton.ca.

Please also identify any past experiences in supporting equity, diversity and inclusion in your previous institutional environment such as in curriculum development and in supporting diverse students.

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. With over 31,000 students in more than 100 programs of study, we encourage creative risk-taking, discovery, and the generation of transformative knowledge. We are proud to be one of the most accessible campuses in North America. Carleton’s Paul Menton Centre for Students with Disabilities has been heralded as the gold standard for disability support services in Canada.

Carleton’s location in Ottawa, Ontario provides many opportunities for scholarship and research with numerous and diverse groups and institutions. Canada’s capital has a population of over one million and reflects the country’s bilingual and multicultural character. 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. Carleton understands that career paths vary. Legitimate career interruptions will in no way prejudice the assessment process and their impact will be carefully considered.

Applicants selected for an interview are asked to contact the Chair as soon as possible to discuss any accommodation requirements. Arrangements will be made 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.