The School of Information at the University of California, Berkeley welcomes applications for a pool of part-time, non-tenure track lecturer positions.
Applicants will be selected from this pool throughout the 2015-16 academic year (including summer semester) as well as the 2016-17 and 2017-18 years, when there is curricular need. The number of positions varies from semester to semester, depending on the needs of the School. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. Please contact email@example.com with any questions.
We are seeking outstanding lecturers who can teach 15-person sections in our web-based Master's program in Data Sciences (datascience.berkeley.edu).
The minimum basic qualification is an advanced degree (Master's or Ph.D. or equivalent degree) and/or at least five years of relevant professional experience in a technical, social science, or interdisciplinary field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics at time of application.
The Data Science lecturer will have research and teaching experience in at least one of the following core areas: Applied regression and time series analysis
Preferred qualifications include: a record of superior academic or professional performance; the ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment.
The salary per course will be determined by level of education and experience (in teaching, research, and practice).
The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching, research, and service. If the candidate has made contributions to this area, we recommend they submit a statement addressing past and/or potential contributions.
To apply, please go to the following link:
Applicants should submit a Cover Letter, a Curriculum Vitae, a Statement of Teaching Experience, and provide contact information only for three (3) letters of recommendation. Optionally, applicants may provide a Statement of Research, Interests, and Experience, and up to three (3) PDF copies of publications.
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 (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
Please direct questions to: firstname.lastname@example.org
The University of California 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. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.
Berkeley offers excellent benefits and has a number of policies and programs in place to support employees as they balance work and family.
About The I School
UC Berkeley's newest school, the School of Information (I School), was created in 1994 to address one of society's most compelling challenges: the need to organize and make sense of the abundance of information that we can now collect, store, and share without regard for cost or distance. The way we organize, represent, govern, and make sense of this information will shape our ability to achieve public as well as private goals.
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. This requires insights from diverse fields. Our faculty includes scholars and professionals with deep expertise in information and computer science, social sciences, management, law, design, and policy, as well as related fields.
We offer professional master's degrees and an academic doctoral degree. Our on-campus master's program (MIMS) trains students for careers as information professionals and emphasizes small classes and project-based learning. Our web-based master's program (MIDS) is the first and only degree available completely online to train data science professionals. Our Ph.D. program equips scholars to contribute to knowledge and to the policies that influence the organization, use, and sharing of information.
Our graduates work at well-known Bay Area companies that include Apple, Google, Facebook, Salesforce, Twitter, and LinkedIn, as well as at nonprofits like Kaiser Permanente and established businesses like Wells Fargo and Chevron. Many of our graduates take advantage of the opportunity to get in on the ground floor to create or work for start-ups.