University of California, Berkeley
Lecturer - Information and Cybersecurity - School of Information
University of California, Berkeley, San Francisco, California, United States, 94199
Position overview
Position title:
Lecturer Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically from one to three sections per term for up to three terms per year, resulting in the total compensation of approximately $8,181 per section at 17% FTE over each academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract. Percent time:
10% to 100% time Anticipated start:
Positions typically start in January, May, and August. Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available. Position duration:
Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance. Application Window Open date:
July 1, 2025 Most recent review date:
Wednesday, Jul 16, 2025 at 11:59pm ( Pacific Time ) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date:
Wednesday, Feb 25, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Cybersecurity (MICS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of about 15 graduate students in this cutting-edge, online program. Courses in the MICS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while bringing valuable expertise to advance student outcomes. Screening of applicants is ongoing and will continue as the program needs to evolve. The number of available positions may vary by semester based on the School's requirements. Please Note: Applicants must be based in the United States to be eligible for this position. No funding is available for visa sponsorship or relocation expenses due to budget constraints.
About The I School
The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more. The I School offers three professional master’s degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more. We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science. If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team. The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MICS master’s programs at UC Berkeley's School of Information.
Responsibilities Include
Delivering Engaging Online Classes:
Plan and lead synchronous online sessions focusing on active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts. Facilitating Student-Centered Learning:
Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs. Designing and Refining Course Materials:
Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment. Providing Constructive Feedback:
Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies. Maintaining Course Operations:
Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively. Collaborating with Faculty Teams:
Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals and initiatives. Advancing Online Pedagogy:
Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience. Promoting Inclusion:
Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.
Qualifications
Basic qualifications
(required at time of application): A 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 experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, executive education, corporate training, or industry-recognized certification programs. Preferred qualifications : An advanced degree in Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields. 10+ years of professional experience in related fields. Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction. Familiarity with and use of collaborative learning techniques and student-centered methods of instruction. Excellent communication and interpersonal skills; ability to work with diverse students, faculty, and staff. Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum and pedagogy. Teaching or in-depth knowledge in at least one core area listed in the online course descriptions.
The list of example courses includes topics such as Applied Machine Learning for Cybersecurity, Capstone, Cybersecurity and Public Policy, Cybersecurity Consulting, Cybersecurity Equality, Cybersecurity Legal, Political, and Economic Context, Cryptography for Cyber and Network Security, Managing Cyber Risk, Network Security, Operating System Security, Public Interest Cybersecurity, Privacy Engineering, Programming Fundamentals for Cybersecurity, Public Interest Cybersecurity Clinic, Security Operations, Software Security, Usable Privacy and Security, Web Application Security Assessment, and Special Topics in AI-Driven Threat Detection, Blockchain Security, Cloud Security, Critical Infrastructure Security, Cyber Threat Intelligence, Cyber Resilience, Incident Response, IoT Security, Post-Quantum Cryptography, Privacy-Preserving Machine Learning, and Social Engineering.
Application requirements
Document requirements : Curriculum Vitae – Your most recently updated C.V. Cover Letter Statement of Teaching Interests/Experience/Approach – A brief statement outlining teaching philosophy, experience, methods, and how you foster inclusive learning. Include areas of expertise, online teaching experience, and indicate which class(es) you believe you are qualified to teach. Teaching Evaluations, if available (Optional)
Reference requirements : 3 required (contact information only) Apply link:
Not displayed in refined content Help contact:
alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service. Our policies and programs to support all employees include family-friendly policies and resources. Official policies referenced include UC Regents Policy 4400, APM 210 1-d, and the Principles of Community. UC Berkeley is an Equal Opportunity employer. Details are available in the referenced policies and the UC Berkeley statement of confidentiality for letters of reference. Finalists may be required to disclose any final misconduct determinations within the last seven years.
Job location : Berkeley, CA, or remote (US-based).
To apply : See job posting for JPF04945 (Apply link not shown in refined content).
#J-18808-Ljbffr
Position title:
Lecturer Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically from one to three sections per term for up to three terms per year, resulting in the total compensation of approximately $8,181 per section at 17% FTE over each academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract. Percent time:
10% to 100% time Anticipated start:
Positions typically start in January, May, and August. Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available. Position duration:
Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance. Application Window Open date:
July 1, 2025 Most recent review date:
Wednesday, Jul 16, 2025 at 11:59pm ( Pacific Time ) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date:
Wednesday, Feb 25, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Cybersecurity (MICS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of about 15 graduate students in this cutting-edge, online program. Courses in the MICS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while bringing valuable expertise to advance student outcomes. Screening of applicants is ongoing and will continue as the program needs to evolve. The number of available positions may vary by semester based on the School's requirements. Please Note: Applicants must be based in the United States to be eligible for this position. No funding is available for visa sponsorship or relocation expenses due to budget constraints.
About The I School
The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more. The I School offers three professional master’s degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more. We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science. If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team. The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MICS master’s programs at UC Berkeley's School of Information.
Responsibilities Include
Delivering Engaging Online Classes:
Plan and lead synchronous online sessions focusing on active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts. Facilitating Student-Centered Learning:
Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs. Designing and Refining Course Materials:
Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment. Providing Constructive Feedback:
Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies. Maintaining Course Operations:
Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively. Collaborating with Faculty Teams:
Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals and initiatives. Advancing Online Pedagogy:
Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience. Promoting Inclusion:
Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.
Qualifications
Basic qualifications
(required at time of application): A 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 experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, executive education, corporate training, or industry-recognized certification programs. Preferred qualifications : An advanced degree in Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields. 10+ years of professional experience in related fields. Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction. Familiarity with and use of collaborative learning techniques and student-centered methods of instruction. Excellent communication and interpersonal skills; ability to work with diverse students, faculty, and staff. Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum and pedagogy. Teaching or in-depth knowledge in at least one core area listed in the online course descriptions.
The list of example courses includes topics such as Applied Machine Learning for Cybersecurity, Capstone, Cybersecurity and Public Policy, Cybersecurity Consulting, Cybersecurity Equality, Cybersecurity Legal, Political, and Economic Context, Cryptography for Cyber and Network Security, Managing Cyber Risk, Network Security, Operating System Security, Public Interest Cybersecurity, Privacy Engineering, Programming Fundamentals for Cybersecurity, Public Interest Cybersecurity Clinic, Security Operations, Software Security, Usable Privacy and Security, Web Application Security Assessment, and Special Topics in AI-Driven Threat Detection, Blockchain Security, Cloud Security, Critical Infrastructure Security, Cyber Threat Intelligence, Cyber Resilience, Incident Response, IoT Security, Post-Quantum Cryptography, Privacy-Preserving Machine Learning, and Social Engineering.
Application requirements
Document requirements : Curriculum Vitae – Your most recently updated C.V. Cover Letter Statement of Teaching Interests/Experience/Approach – A brief statement outlining teaching philosophy, experience, methods, and how you foster inclusive learning. Include areas of expertise, online teaching experience, and indicate which class(es) you believe you are qualified to teach. Teaching Evaluations, if available (Optional)
Reference requirements : 3 required (contact information only) Apply link:
Not displayed in refined content Help contact:
alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service. Our policies and programs to support all employees include family-friendly policies and resources. Official policies referenced include UC Regents Policy 4400, APM 210 1-d, and the Principles of Community. UC Berkeley is an Equal Opportunity employer. Details are available in the referenced policies and the UC Berkeley statement of confidentiality for letters of reference. Finalists may be required to disclose any final misconduct determinations within the last seven years.
Job location : Berkeley, CA, or remote (US-based).
To apply : See job posting for JPF04945 (Apply link not shown in refined content).
#J-18808-Ljbffr