Lecturer - Information Management - School of Information

Lecturer
- Information Management
- School of Information

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach on-campus courses in the Master of Information Management and Systems. We seek exceptional instructors with professional and/or academic expertise who can teach courses for I School doctoral and master's level students and other UC Berkeley graduate students in related fields, as well as undergraduate courses.

Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.

Applicants will be selected from this pool for the academic year (including summer sessions), when there is curricular need. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. This is a primarily in-person role that typically requires physical presence on the UC Berkeley campus, although alternative modalities may be authorized for instruction when conditions require.

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

A bachelor's degree (or equivalent international degree).

Minimum of 4 years professional experience in the relevant field.

Minimum of 2 years experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

10 + years of professional experience in Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.

Multiple years of demonstrated excellence in teaching college-level courses.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Professional and teaching experience in at least one of the following core areas:

• Algorithmic Fairness and Bias Mitigation
• Blockchain and Decentralized Systems
• Cloud Computing and Scalability
• Cybersecurity and Information Assurance
• Data Analysis and Visualization
• Data Engineering and Analysis
• Digital Ethics and Societal Impact
• Digital Transformation in Organizations
• Ethical Technology and Responsible AI
• Generative AI and Its Applications
• Human-AI Collaboration
• Human-Computer Interaction (HCI)
• Information Policy
• Machine Learning
• Natural Language Processing (NLP)
• Privacy-Preserving Technologies
• Product Management
• Smart Cities and Urban Informatics
• Social and Technical Innovation in Entrepreneurship
• User-Centered Design
• Other Areas of Information Science and Systems

• Curriculum Vitae
  - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Interests/Experience/Approach
  - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This may include, for example, fostering student success, connecting theory to practice, contributions to advancing an inclusive learning environment for all students, facilitating student-centered learning, or practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  The statement should highlight areas of expertise, and any experience with online or technology-enhanced teaching.

  Please indicate which class(es) you believe you are qualified to teach.

• Teaching Evaluations, if available (Optional)

• 3 required (contact information only)