Lecturer - Data Science - School of Information

Recruitment Period

Open date: March 6th, 2014
Next review date: October 31st, 2015
Apply by this date to ensure full consideration by the committee.
Final date: December 31st, 2016
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Description

Data Science Lecturer— Open Until Filled – Initial Review Date 4/15/14
Job Code (1630, 1632 & 1634)

The School of Information at the University of California, Berkeley welcomes applications for a pool of part-time, non-tenure track lecturer positions. Open until filled: The initial review date for Fall 2014 instructor candidates will be April 15, 2014, but we will be hiring additional lecturers as needed, so applications received after that date will be considered for subsequent semesters. This pool will be open until December 31, 2016; applicants who still wish to be considered after that date will need to reapply.

Applicants will be selected from this pool throughout the 2014-15 year (including summer semester) as well as the 2015-16 year, 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 dean@ischool.berkeley.edu with any questions.

Responsibilities
We are seeking outstanding lecturers who can teach 15-person sections in our web-based Master’s program in Data Sciences (datascience.berkeley.edu).

Minimum Basic Qualifications
Successful candidates will have earned an advanced degree and/or have 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.

Additional Qualifications
The Data Science lecturer will have research and teaching experience in at least one of the following core areas:

• Research design and data analysis
• Exploring and analyzing data (applied statistics)
• Storing and retrieving data (databases)
• Visualizing and communicating data
• Applied machine learning
• Privacy, security, and ethics of data
• Experiments and experimentation with data
• Very large scale data mining and analysis

Preferred Qualifications
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.

Salary
The salary per course will be determined by level of education and experience (in teaching, research, and practice).

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. Optionally, you may also choose to provide a statement of research, interests, and experience; and pdf copies of one or more recent publications.

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. The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their work.

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.

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Requirements

Documents

References

3 letters of reference required

How to apply

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