Lecturer - Data Science - School of Information

The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach online courses in Data Science. We are seeking outstanding instructors who can teach small sections in our web-based Master's in Information and Data Science program. 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.

Due to budget restrictions, no funding is available for visa or relocation expenses. Applicants must be located in the United States to be eligible for this position.

About The I School

The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.

The I School offers three professional master's degrees and an academic doctoral degree. Candidates selected for our Data Science Lecturer position typically teach classes that primarily enroll graduate students in our online MIDS program, which trains data scientists to use the latest tools and analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems. Successful instructors in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information and data science.

Responsibilities

Teaching responsibilities include planning and leading online classes that focus on active learning: discussions, group activities, examples, and walkthroughs relevant to concepts covered in existing asynchronous materials associated with the course.

In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students on online course tools, prepare course materials (e.g., syllabus, assessment materials), provide clear and prompt feedback on student work, and maintain the course website. Lecturers are also expected to attend bi-weekly course team meetings with other instructors of the course, and are encouraged to attend monthly faculty meetings.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the school is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas. We require that applicants submit a statement addressing past and/or potential contributions.

UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.

Program: http://datascience.berkeley.edu

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

Five years experience teaching college-level courses as instructor of record.

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

Professional experience in a field such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.

Demonstrated excellence in teaching college-level courses.

Experience teaching college-level courses online.

Teaching experience in at least one of the following core areas:

• Introductory Programming
• Research Design and Data Analysis
• Applied Statistics
• Data Engineering, Storage, and Retrieval
• Visualizing and Communicating Data
• Applied Machine Learning
• Privacy, Security, and Ethics of Data
• Experiments and Causal Inference
• Very Large Scale Data Mining and Analysis
• Applied Regression and Time Series Analysis
• Deep Learning
• Computer Vision
• Natural Language Processing
• Edge and Cloud Computing
• Capstone
• Generative AI

Preferred qualifications include:

Ability to enrich course content within defined curriculum goals and objectives.

Demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment

• 3 required (contact information only)

UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).

The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Please refer to the University of California's Affirmative Action Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.