Tenure-Track Position in Federated Machine Learning
Last updated: October 6, 2020, 9:30 a.m.
Job title: Faculty Position in Federated Machine Learning
Position code: 20_T_CIISE_M
Date posted: October 6, 2020
Application deadline: January 5, 2021
Advertised until: Position is filled
The Concordia Institute for Information Systems Engineering seeks outstanding candidates for a full-time, tenure-track position in Federated Machine Learning at the rank of Assistant Professor, but exceptional candidates at the Associate Professor level may also be considered. This call extends to all individuals with interests in the following: privacy-preserving machine learning, deep learning, reinforcement learning, adversarial learning, secure multi-party computation, distributed differential privacy, federated optimization, secure aggregation protocols, and federated learning for smart cities, Internet of Things, health care, financial technology, and transportation systems.
Concordia University is strongly committed to building a diverse, equitable, and inclusive community, and recognizes the importance of inclusion in achieving excellence in teaching and research. Commensurate with their rank, candidates will be assessed on their demonstrated potential to attract diverse students and collaborators to Concordia University, conduct internationally recognized research, secure research funds, as well as teach and drive curricular development within their respective area.
Qualifications and assets
Applicants must hold a PhD in Electrical Engineering, Computer Science, Systems Engineering, Computer Engineering, or a closely related engineering field. Membership or eligibility for membership in a Canadian professional engineering association, preferably in Quebec, is required. The candidate will conduct independent scholarly research, attract strong external funding and demonstrate industrial application of their research activities. The successful candidate is expected to demonstrate a strong commitment to the supervision of MASc and PhD students, and to excellence in teaching at both the graduate and undergraduate levels. The language of instruction at Concordia is English, however, knowledge of French is an asset.
How to apply
Applications should be addressed to: Abdessamad Ben Hamza, Professor and Director (email: email@example.com) and must include a cover letter clearly identifying the title and position code 20_T_CIISE_M, a detailed curriculum vitae, teaching and research statements, and the names and contact information of four referees. Electronic applications should be submitted by January 5, 2021 but will continue to be reviewed until the position is filled. Only short-listed candidates will be notified. The appointment is expected to commence in July 2021 or shortly thereafter.
Concordia strives to be an inclusive institution that is welcoming of diverse backgrounds and experiences in order to improve learning, advance research, inspire creativity, and drive productivity. We define diversity broadly to include both ethnic and socio-cultural background and diversity of perspectives, ideologies and traditions.
As part of this commitment to providing our students with the dynamic, innovative, and inclusive educational environment of a Next-Generation University, we require all applicants to articulate in their cover letter how their background, as well as lived and professional experiences and expertise have prepared them to conduct innovative research and to teach in ways that are relevant for a diverse, multicultural contemporary Canadian society.
These ongoing or anticipated examples can include but are not limited to:
- teaching about underrepresented populations
- mentoring students from underrepresented backgrounds
- conducting research with underrepresented and/or underserved communities
- committee work
- offering or organizing educational programming
- participation in training and workshops
Concordia University recognizes the potential impact that career interruptions can have on a candidate’s record of research and will take them into careful consideration in assessing applications and throughout the selection process.
All applicants will receive an email invitation to complete a short equity survey. Participation in the survey is voluntary and no identifying information about candidates will be shared with hiring committees. Candidates who wish to self-identify as a member of an underrepresented group to the hiring committee may do so in their cover letter or by writing directly to the contact person indicated in this posting.
Applicants who anticipate requiring adaptive measures throughout any stage of the recruitment process may contact, in confidence, Nadia Hardy, Interim Deputy Provost and Vice-Provost, Faculty Development and Inclusion at firstname.lastname@example.org or by phone at 514-848-2424, extension 4323.
The Concordia Institute for Information Systems Engineering is dedicated to multidisciplinary research and training of graduate students, offering master's degrees in Information Systems Security and in Quality Systems Engineering, and a PhD degree in Information and Systems Engineering. The Institute has a faculty complement of 25 professors, including four industrial research chairs and two university research chairs, active in various areas of Information Systems Security, Cloud and Edge Computing, Information Systems Engineering, Quality Systems Engineering, Internet of Things, Artificial Intelligence, Data Analytics, and Smart Cities. For more information about the Institute, please visit: www.concordia.ca/ciise.
The Gina Cody School of Engineering and Computer Science is ranked among the top ten engineering schools in Canada. The School is home to over 10,000 engineering and computer science students and a faculty complement of 235 faculty members. The School has about 4,500 graduate students enrolled in 35 graduate programs. Its research profile continues to grow as it fosters multidisciplinary approaches to finding solutions to a broad range of societal challenges. Concordia University and the School attract a high quality, diverse student population in all its programs. For more information on the Gina Cody School of Engineering and Computer Science, please visit: www.concordia.ca/ginacody.