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Adjunct Lecturer, Analytics for Cybersecurity Management (On-Campus, Summer/Fall '26)

New York, NY, United States

Pay
$11,000–13,000per semester long — pay source
Additional Information Salary range: $11,000 - $13,000 per semester long course Please submit a resume inclusive of university teaching experience.
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Work setup
Unconfirmed
Employment
Unconfirmed
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What you’ll work on

Full posting
  • Lead class lectures, instructional activities, and classroom discussions.

  • Monitor and address student concerns and inquiries.

  • Evaluate and grade student work and assessments.

From the employer’s posting
Responsibilities Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. Monitor and address student concerns and inquiries.
Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. Monitor and address student concerns and inquiries. Evaluate and grade student work and assessments.
Monitor and address student concerns and inquiries. Evaluate and grade student work and assessments. Conduct office hours.

What you’ll bring

All qualifications

Core experience

  • 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.
  • 10+ years of related professional experience.
  • Python proficiency for data parsing/ETL, log analysis, and basic analytics (e.g., pandas, simple scikit-learn workflows).
  • 2+ years of University teaching experience, ideally at the graduate level.
  • Strong communication and feedback skills for guiding graduate students; dependable, organized, and detail-oriented
  • Experience with cloud security (IAM, least privilege, security groups, logging) and common tools (e.g., CloudTrail/Defender for Cloud).
Qualification wording
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.
10+ years of related professional experience.
Python proficiency for data parsing/ETL, log analysis, and basic analytics (e.g., pandas, simple scikit-learn workflows).
2+ years of University teaching experience, ideally at the graduate level.
Strong communication and feedback skills for guiding graduate students; dependable, organized, and detail-oriented
Experience with cloud security (IAM, least privilege, security groups, logging) and common tools (e.g., CloudTrail/Defender for Cloud).

Tools in this posting

  • Bash
  • Shell
  • pandas
  • Python
  • scikit-learn
Source — Tool mentions in context
- 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
- 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.

Job description

View original posting ↗

Job Description

The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Analytics for Cybersecurity Management. 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.

Responsibilities

  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.

  • Monitor and address student concerns and inquiries.

  • Evaluate and grade student work and assessments.

  • Conduct office hours.

Qualifications

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

Requirements

  • Doctoral degree in a quantitative disciplinary area

  • 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

  • 10+ years of related professional experience.

  • 2+ years of University teaching experience, ideally at the graduate level.

  • 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 range: $11,000 - $13,000 per semester long 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 Employer / Disability / Veteran

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

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Source & posting history

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Pay
Additional Information Salary range: $11,000 - $13,000 per semester long course Please submit a resume inclusive of university teaching experience.
Location & working pattern

New York, NY, United States

- 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
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Status in our records
Active
First seen by us
Jun 3, 2026
Recorded sightings
98
Last seen by us
Oct 8, 2026
Employer says posted
Feb 27, 2026

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