Fredericton, NB

Information Technology

Experienced

Full-time

$78,733 - $107,305 / year

Competition Number:#175-25.26

Benefits: Health Insurance

Dental Insurance

Paid Time Off

Pension plan

Life Insurance

Disability Insurance

Employee Assistance Program

Tuition Aid

**Closing Date:**April 9th, 2026 at 4:00 PM

CANADIAN INSTITUTE FOR CYBERSECURITY

The Cyber Attribution Data Centre (CADC), an established initiative at the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick, is designed to be a national leader in cyber threat attribution. The centre's core mission is to identify malicious activity by gathering data from diverse sources and employing advanced cyber attribution intelligence analytics. In addition, the CADC is dedicated to training and equipping the next generation of artificial intelligence (AI) cybersecurity specialists. This multidisciplinary unit leverages expertise from social sciences, business, computer science, engineering, law, and science, fostering innovation and collaboration to address the evolving challenges of cybersecurity.

WHAT WE OFFER

Full-time | 3-Year Term | Fredericton | On-Campus

**Standard Work Hours:**Mon - Fri | 8:15 am - 4:30 pm | 36.25 hours per week

Salary Range:$78,733 - $107,305 per annum

YOUR FOCUS

Reporting to the Deputy Director, the Cyber Attribution Research Scientist designs research strategies, develops analytical models, and collaborates with interdisciplinary teams to enhance our understanding of threat actor behavior.

Design and lead large-scale research projects, evaluations, and innovation initiatives.

Provide strategic direction for high-impact research on cyber threat attribution methodologies and technologies.

Identify emerging trends and develop analytical frameworks to improve attribution accuracy.

Conceptualize and implement experimental designs to test novel attribution techniques.

Evaluate and integrate emerging technologies into research frameworks.

Analyze large, complex cybersecurity datasets to uncover patterns, indicators, and threat actor behaviours.

Design, build, and validate statistical and machine learning models to support real-time attribution.

Use big data technologies and cloud platforms to develop scalable models.

Conduct performance evaluations and continuously optimize models for accuracy.

Mentor and guide data analysts and software developers on threat actor research.

Collaborate with threat intelligence analysts, incident responders, engineers, and researchers to translate findings into actionable solutions.

Contribute to the CADC's research roadmap and define strategic research directions.

Build and maintain partnerships with academia, industry, and government to support collaborative research.

Facilitate cross-disciplinary meetings to ensure integrated knowledge sharing and feedback.

Publish findings in academic journals and industry publications, present at conferences and internal briefings.

Engage with external partners and the cybersecurity community to share insights and promote collaboration.

Develop white papers, case studies, and technical briefs to communicate research advancements.

Represent the CADC at national and international cybersecurity forums to promote its mission and work.

Stay current on cybersecurity, AI, and data science advancements.

Recommend tools and technologies to enhance research capabilities.

Monitor global cyber threat trends and emerging research to maintain a competitive edge.

Mentor junior researchers and support their professional growth.

WHAT YOU BRING

Ph.D. in Computer Science, Cybersecurity, Data Science, Statistics, or a related field

3-5 years of experience in a research-intensive environment.

Additional Strengths

Demonstrated track record of conducting independent research in cybersecurity or related fields.

A portfolio of publications, presentations, or real-world implementations related to cyber threat attribution.

Direct experience in cyber threat intelligence analysis and attribution.

Familiarity with big data technologies and cloud computing platforms.

Hands-on experience deploying machine learning models in production environments.

In-depth knowledge of advanced persistent threat (APT) groups, digital forensics techniques, and cyber threat methodologies.

Exceptional analytical and problem-solving abilities, with deep experience in data analysis and model development.

Strong programming skills in Python or R for data analysis, statistical modeling, and machine learning.

Sound understanding of cybersecurity fundamentals, including network security, malware analysis, and threat intelligence.

Excellent written and verbal communication skills for clear technical and non-technical interactions.

Collaborative mindset with a proven ability to thrive in interdisciplinary team environments.

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A little bit about us

University of New Brunswick

The University of New Brunswick employs more than 3,200 full- and part-time staff, including faculty, support staff and students. UNB values people and we have proudly been named as one of Canada's Top 100 Employers for 2026.

UNB is situated on the unceded territory of the Wolastoqiyik and Mi'kmaq peoples along the banks of the beautiful and bountiful Wolastoq river, a region recognized worldwide for its natural beauty. UNB is a comprehensive university with a long history of excellence in teaching and research.

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WHY CHOOSE UNB?

UNB offers a large variety of benefits for employees, including a full pension, a minimum of three weeks of vacation annually, the Employee and Family Assistance Program (EFAP), and dental, life, and health insurance.

ADMINISTRATIVE, PROFESSIONAL AND TECHNICAL GROUP (APT)

This position is part of the non-union Administrative, Professional and Technical (APT) group.

COMMITMENT TO EQUITY, DIVERSITY & INCLUSION

The University of New Brunswick is committed to employment equity and fostering diversity within our community and developing an inclusive workplace that reflects the richness of the broader community that we serve. The University welcomes and encourages applications from all qualified individuals who will help us achieve our goals, including women, visible minorities, Aboriginal persons, persons with disabilities, persons of any sexual orientation, gender identity or gender expression. Preference will be given to Canadian citizens and permanent residents of Canada.

We thank all who apply; however, only those selected for an interview will be contacted.