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Data Mining & Machine Learning for Sys. Eng. & Cyber & Cyber- Physical Sec.

Concordia University, Concordia Institute for Information Systems Engineering

Job Title: Data Mining & Machine Learning for Sys. Eng. & Cyber & Cyber- Physical Sec.
Job Location: Montreal , Quebec
Canada
Status: Full-Time
Job Category: Engineering & applied sciences
Computer Science/Info Tech/Systems
Date Posted: 2018-02-05
Industry: Academic/Education

Job Description



Data Mining and Machine Learning for Systems Engineering and Cyber and/or Cyber-Physical Security
Concordia University,
Concordia Institute for Information Systems Engineering


One of Canada's most innovative Faculties, the Faculty of Engineering and Computer Science (ENCS) is home to about 8,500 engineering and computer science students and a faculty complement of 208 faculty members. ENCS has 3,500 graduate students enrolled in more than 15 graduate programs. The Facultyís research profile continues to grow as it fosters multidisciplinary approaches to finding solutions to a broad range of societal challenges. For more information, visit the Faculty website.

The Concordia Institute for Information Systems Engineering (CIISE) has a faculty complement of 19 professors active in various areas of Information Systems Engineering, Information Systems Security, and Quality Systems Engineering. The Institute is dedicated to multidisciplinary research and training of graduate students in information technology and its applications, offering masterís degrees in Information Systems Security and in Quality Systems Engineering, and a doctoral degree in Information and Systems Engineering. Concordia University attracts high quality domestic and international students in all its programs and enrollments are stable and strong at both the undergraduate and graduate levels.

The Concordia Institute for Information Systems Engineering seeks outstanding candidates for one tenure-track position in the areas of Data Mining and Machine Learning for Systems Engineering and Cyber and/or Cyber-Physical Security, and related areas.

The appointment is at the rank of Assistant Professor but exceptional candidates at the Associate Professor level may also be considered.

Job Requirements

Applicants must hold a PhD in Computer Engineering, Electrical Engineering, Computer Science or a related field and possess a strong expertise in data mining, machine learning, data science, with applications to systems engineering, cyber security, cyber-physical security, privacy protection, with a demonstrated ability to work in collaborative multidisciplinary settings.

A strong commitment to research excellence, supervision of graduate students, and teaching excellence.

A successful candidate is expected to provide academic leadership, conduct independent and superior scholarly research, establish a strong externally-funded research program and demonstrate industrial applications of her/his research activities.

Membership or eligibility for membership in a Canadian professional engineering association, preferably in the province of Quebec, is required.

The language of instruction at Concordia is English; however, knowledge of French is an asset.


Information and Application Process Instructions

Applications must include a cover letter, detailed curriculum vitae, teaching and research statements, and names of four referees. Electronics applications are preferred.

Applications should be submitted by March 31, 2018, and will be reviewed on an ongoing basis until a suitable candidate has been identified. Only shortlisted candidates will be notified.

The appointment is expected to commence in July 2018.

When inquiring or applying for this position, please also reference AcademicCareers.com.

Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and employment opportunities at Concordia University and at other institutions of higher education in the region on www.AcademicCareers-Canada.com or www.AcademicCareers.com or www.UniversityJobsCanada.com



To obtain more information or to submit your resume you can contact Dr. Rachida Dssouli, Director as shown below. If you apply for this position, please say you saw it first on www.AcademicCareers.com. Thank you.

Dr. Rachida Dssouli, Director
Concordia Institute for Information Systems Eng.
Concordia University

E-Mail: director-ciise@encs.concordia.ca

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