Adjunct Associate Faculty, Analytics for Cybersecurity Management (On-Campus, Spring '26)

Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Analytics for Cybersecurity Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

This course offers a comprehensive introduction to core cybersecurity principles encompassing network security threat detection and vulnerability management while highlighting how emerging techniques in AI and machine learning can transform modern defense strategies. Students will explore key frameworks advanced tools and real-world case studies gaining insight into how analytics underpins effective threat intelligence incident response and regulatory compliance.

Through hands-on exercises interactive assignments and a culminating project focused on automating vulnerability analysis learners will develop practical skills in data-driven security. They will practice essential taskssuch as parsing logs classifying vulnerabilities creating visual dashboards and applying AI-driven anomaly detectionwhile also examining ethical legal and regulatory considerations in cybersecurity. By the end of the course students will be equipped to design proactive defense measures critically assess diverse threat landscapes and responsibly leverage AI and analytics to fortify digital ecosystems against evolving cyber risks.

Responsibilities

• Attend all class sessions assist with instruction lead breakout sessions facilitate discussions.

• Evaluate grade student work and assessments as requested by the course Lecturer.

• Monitor and address student concerns and inquiries.

Qualifications :

Columbia University SPS operates under a scholar-practitioner faculty model which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. 

Requirements

• Graduate degree in a relevant field such as Cybersecurity Computer Science Data Science/Analytics Information Systems Information Security Electrical/Computer Engineering Statistics or a closely related discipline.

• 3 years of professional experience in roles such as Security Operations (SOC) Threat Intelligence Incident Response Security Engineering Vulnerability Management Cloud Security or Applied Data Science/ML for security within industries like technology finance healthcare consulting or government.

• Python proficiency for data parsing/ETL log analysis and basic analytics (e.g. pandas simple scikit-learn workflows).

• Comfort with shell scripting (PowerShell and/or Bash) and core OS tools for processes networking and files.

• Strong communication and feedback skills for guiding graduate students; dependable organized and detail-oriented

Preferred Skills & Experience

• University teaching or TA experience especially in graduate or professional programs.

• Experience with cloud security (IAM least privilege security groups logging) and common tools (e.g. CloudTrail/Defender for Cloud).

• Familiarity with SOAR concepts/workflows and alert triage/runbooks.

• Practical knowledge of security/privacy frameworks and regs (e.g. NIST CSF HIPAA GDPR) and ethical handling of sensitive data.

• Experience supporting course operations (Canvas/LMS rubric-based grading timely feedback academic integrity processes managing small-group activities).

• Track record of mentoring early-career professionals or graduate students and collaborating in diverse remote teams.

Additional Information :

Salary: $3343.74 per semester-length course

• Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity/Affirmative Action employer.

Remote Work :

No

Employment Type :

Part-time