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Lecturer - Information and Cybersecurity - School of Information

Job in Berkeley, Alameda County, California, 94709, USA
Listing for: Inside Higher Ed
Part Time position
Listed on 2026-05-19
Job specializations:
  • IT/Tech
    Cybersecurity
Salary/Wage Range or Industry Benchmark: 140169 USD Yearly USD 140169.00 YEAR
Job Description & How to Apply Below

Application Window:
Open date:
March 4, 2026
Most recent review date:
Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)
Final date:
Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Position Overview

Position title: Lecturer

Salary range: Starting full‑time equivalent annual salary $140,169. Appointments: 1–3 sections per term, approximately $8,181 per section at 17% FTE per academic term (Summer 2025). Salary increases in subsequent terms per labor contract.

Percent time: 10% to 100%

Anticipated start: January, May, August

Review timeline: Applicants considered as needs arise. Existence of pool does not guarantee a position.

Position duration: Initial up to one year with possibility of renewal based on need, funding, performance.

Responsibilities
  • Deliver engaging online classes: plan and lead synchronous online sessions with active learning, facilitate discussions, group activities, and practical exercises.
  • Facilitate student‑centered learning: provide personalized support via virtual office hours, moderate online discussions, and use student analytics to identify and support individual learning needs.
  • Design and refine course materials: develop and update instructional materials, assignments, and assessments; ensure alignment with program objectives and inclusivity.
  • Provide constructive feedback: deliver timely, actionable feedback on student assignments and projects.
  • Maintain course operations: use LMS and educational technology tools to manage course websites, post assignments, and communicate with students.
  • Collaborate with faculty teams: participate in course meetings, align instructional practices, address challenges, and share teaching strategies; attend monthly or bi‑monthly faculty meetings.
  • Advance online pedagogy: engage in faculty development programs and share insights to improve the learning experience.
  • Promote inclusion: foster an inclusive, equitable learning environment that respects diverse perspectives.
Qualifications
  • Basic qualifications (required at time of application): Bachelor’s degree or equivalent international degree.
  • Additional qualifications (required at time of start): Minimum 4 years professional experience in the relevant field;
    Minimum 2 years teaching or professional development experience in higher education or industry.
  • Preferred qualifications:
  • Advanced degree in Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.
  • 10+ years professional experience in these fields.
  • Demonstrated excellence in teaching college‑level courses, including online instruction.
  • Familiarity with collaborative learning techniques and student‑centered methods.
  • Organizational skills and ability to complete assignments timely and accurately with minimal supervision.
  • Excellent communication and interpersonal skills.
  • Ability to support a diverse community through inclusive curriculum and pedagogy.
  • Teaching or in‑depth knowledge in at least one core area:
    Applied Machine Learning for Cybersecurity;
    Artificial Intelligence and Machine Learning in Cybersecurity;
    Capstone;
    Cloud Security;
    Cryptography;
    Cybersecurity and Public Policy;
    Cybersecurity Clinic;
    Cybersecurity Consulting;
    Cybersecurity Equality;
    Cybersecurity in Context: AI, Policy, Law and Ethics;
    Introduction to Cybersecurity;
    Managing Cyber Risk;
    Network Security;
    Operating System Security;
    Public Interest Cybersecurity Clinic;
    Security Operations;
    Software Security;
    Usable Privacy and Security Research;
    Web Application Security Assessment;
    Special Topics: AI‑Driven Threat Detection, Blockchain Security, Critical Infrastructure Security, Cyber Threat Intelligence, Cyber Resilience, Incident Response, IoT Security, Post‑Quantum Cryptography, Privacy‑Preserving Machine Learning, Social Engineering, Zero Trust Security.
Core Areas
  • Applied Machine Learning for Cybersecurity
  • Artificial Intelligence (AI) and Machine Learning (ML) in Cybersecurity
  • Capstone
  • Cloud Security
  • Cryptography
  • Cybersecurity and Public Policy
  • Cybersecurity Clinic
  • Cybersecurity Consulting
  • Cybersecurity Equality
  • Cybersecurity in Context:
    Artificial Intelligence, Policy, Law and Ethics
  • Introduction to…
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