The School of Information at the University of California, Berkeley welcomes applications for multiple postdoctoral scholars to help teach in, build, and be an integral part of our new web-based Master of Information and Data Science program (datascience.berkeley.edu).
The position will include teaching sections in our online Master's program, research collaboration, and participation in the intellectual community at the School of Information and on the Berkeley campus.
The Data Science postdoc will have teaching and research experience in at least one of the following core areas: Exploring and analyzing data (Applied statistics)
Please indicate in your Statement of Teaching which of these class(es) you believe you are qualified to teach.
The minimum qualification required to be considered an applicant for the position is a Ph.D. or the completion of all degree requirements except the dissertation at the time of application. A Ph.D. or equivalent is required by the date of hire.
Successful candidates will have earned a doctoral degree in a relevant technical, social science, or interdisciplinary field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics. Additional qualifications include: a superior academic performance and publication record; 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.
There are many expected start dates, and this is an ongoing posting. We are currently hiring for the semester beginning January 1, 2016. This is a full-time, one- or two-year, renewable, postdoctoral position. Starting salaries are typically in the range of $60,000 to $65,000 per year and commensurate with qualifications and experience.
The first review date for this position will be June 30, 2014. This position will remain open until filled. The postdoc must possess a Ph.D. or foreign equivalent conferred less than five years ago (extenuating circumstances, including health and family care, can justify exceptions to this requirement), may not have more than five years of postdoctoral experience including that from other institutions, nor have previously held a tenure-track professorial appointment (employed as an assistant professor, associate professor, or professor).
All letters of reference will be treated as confidential per University of California policy and California State law. Please arrange for letters of recommendation to be uploaded directly by recommenders. 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.chance.berkeley.edu/evalltr.html prior to submitting their letters.
Questions may be sent to email@example.com.
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/Nondiscrim/AffirmAct
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.