Research Positions in Cybersecurity: Join our dynamic team at York University in the Electrical Engineering and Computer Science department and the School of IT. We are offering challenging research positions in the exciting fields of cybersecurity and industrial engineering. If you are passionate about cutting-edge research and interdisciplinary collaboration, we encourage you to apply.
Research Positions Available in Cybersecurity and Industrial Engineering
Designation: Research Associate/Assistant (PDF, PhD, and Masters positions available)
Research Area: Cybersecurity, Industrial Engineering, Machine Learning
Location: York University, Toronto, Canada
Eligibility/Qualification:
- For PDF position:
- Education: PhD in Computer Science, Industrial Engineering, or related field
- Research Experience: Minimum 5 published journal papers in cybersecurity, some focusing on learning systems
- Technical Expertise: Strong background in learning systems, familiarity with industrial engineering principles, proficiency in Python programming, interdisciplinary skills
- Preferred Qualifications: Experience with other programming languages, knowledge of industrial automation, AI and machine learning advancements in cybersecurity, experience in mentoring or supervising students
- For PhD and Masters positions:
- Qualifications: MSc or BSc in Computer Science or Engineering
- Skills: Strong work ethic, programming proficiency in any language, excellent mathematical background, experience with machine learning or deep learning classifiers, proficiency in data science operations
Job Description:
We are seeking talented individuals to contribute to cutting-edge research in cybersecurity and industrial engineering. Responsibilities include conducting advanced research, collaborating across disciplines, publishing and presenting research findings, mentoring and supervising students (for PDF position), and contributing to the latest advancements in AI and machine learning as they apply to cybersecurity.
How to Apply:
Applicants are requested to include a CV, copy of transcripts, and relevant publications with their application and send it to ahabibil@yorku.ca with the subject line “Application for -position- for -session- -year-”. For example, “Application for PhD for Winter 2025”.
Last Date for Apply: Rolling applications – interested candidates are encouraged to apply at their earliest convenience.
