Lecturer - Data Science - School of Information

Lecturer
- Data Science
- 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 online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

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

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Responsibilities include delivering engaging online classes, facilitating student-centered learning, designing and refining course materials, providing constructive feedback, maintaining course operations, collaborating with faculty teams, advancing online pedagogy, and promoting inclusion.

Basic qualifications include a bachelor's degree (or equivalent international degree) and minimum 4 years of professional experience in the relevant field. Additional qualifications include minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Preferred qualifications include an advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field, 10+ years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or 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, proven organizational skills and ability to complete assignments timely and accurately with minimal supervision, excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills, 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, and 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.

Teaching or in-depth knowledge and experience in at least one of the following core areas:

• Applied Cloud Computing for Data Science
• Applied Machine Learning
• Applied Statistics(R)
• Capstone Projects - real-world projects and industry collaboration
• Computer Vision
• Data Visualization and Communication
• Deep Learning and Neural Networks
• Edge and IoT Data Science
• Experiments and Causal Inference
• Fundamentals of Data Engineering
• Generative AI
• Introduction to Data Science Programming (Python)
• Leadership in Data-Driven Transformation
• Machine Learning at Scale
• Machine Learning Systems Engineering
• Natural Language Processing with Deep Learning
• Privacy, Security, and Ethics in Data Science
• Regression and Time Series Analysis
• Research Design and Data Analysis
• Scalable Data Mining and Analysis
• Statistical Methods for Discrete Response, Time Series, & Panel Data
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting

Application requirements include a curriculum vitae, cover letter, statement of teaching interests/experience/approach, and three required references.