Position Overview
Position Title: Lecturer
Salary Range: The starting, full-time equivalent annual salary rate is currently $130,851. Appointments are typically from one to three sections per term for up to three terms per year, resulting in the total compensation of approximately $7,415 per section at 17% FTE over each academic term, as of Spring 2024. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract. A reasonable estimate for this position is $130,851-$138,819.
Percent Time: 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: February 20, 2024
Most Recent Review Date: Monday, Aug 12, 2024 at 11:59pm (Pacific Time)
Final Date: Wednesday, Feb 19, 2025 at 11:59pm (Pacific Time)
Position Description
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.
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. 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.
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. General duties include holding office hours, assigning grades, advising students on online course tools, preparing course materials (e.g., syllabus, assessment materials), providing clear and prompt feedback on student work, and maintaining 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. 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.
Qualifications
Basic Qualifications: A bachelor's degree (or equivalent international degree).
Additional Qualifications: Five years experience teaching college-level courses as instructor of record.
Preferred Qualifications: An advanced degree in a relevant field, professional experience in a relevant field, demonstrated excellence in teaching, experience teaching college-level courses online, and teaching experience in at least one of the specified core areas.
Application Requirements
Document Requirements:
- Curriculum Vitae
- Cover Letter
- Statement of Teaching Interests/Experience/Approach
- Statement on Contributions to Advancing Diversity, Equity, and Inclusion
- Teaching Evaluations, if available (Optional)
Reference Requirements: 3 required (contact information only)
Apply Link:
Help Contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer.
Job Location
Berkeley, CA, or remote (US-based).
#J-18808-Ljbffr