Postdoctoral Scholar - Data Science Program - School of Information
Company: University of California Berkeley
Location: Berkeley
Posted on: January 9, 2021
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Job Description:
The School of Information at the University of California,
Berkeley seeks applications for multiple Postdoctoral Scholars, in
the area of Data Science, at 100% time, to help conduct research,
teach in, build, and be an integral part of our web-based Master of
Information and Data Science program (datascience.berkeley.edu).The
number of positions varies from semester to semester, depending on
the needs of the School. Positions typically start in January, May,
and August, and appointments may be renewed based on need, funding,
and performance. Due to budget restrictions, no funding is
available for visa or relocation expenses.The position will include
teaching sections in our online Master's program, research
collaboration, and participating in the intellectual community at
the School and on the Berkeley campus. Research responsibilities
include pursuing a self-directed research agenda, presenting
current research to the community, and participating in research
exchange events. Teaching responsibilities include lecturing,
holding office hours, grading, assigning grades, advising students,
and preparing course materials. In addition to teaching
responsibilities, general duties include: hold office hours, assign
grades, advise students, prepare course materials (e.g., syllabus),
provide clear and prompt feedback on student work, and maintain the
course website with support from the graduate student instructor
(GSI). Postdocs are expected to teach up to 8 small sections per
year as a Lecturer.About The I SchoolUC 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 MICS program prepares cybersecurity leaders with the
technical skills and contextual knowledge necessary to develop
solutions for complex cybersecurity challenges. 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 an impressive variety of
well-known Bay Area tech companies, nonprofits, and public sector
entities. Many of our graduates take advantage of the opportunity
to get in on the ground floor to create or work for start-ups.Basic
qualifications (by time of application):PhD (or equivalent
international degree) or enrolled in a PhD (or equivalent
international degree) program.Additional qualifications (by start
date):PhD (or equivalent international degree).Preferred
Qualifications:Successful candidates will have earned a doctoral
degree in a field such as Data Science, Information, Information
Science, Statistics, Computer Science, Engineering, Political
Science, Sociology, Law, or Economics. The Data Science postdoc
will have teaching and research experience in at least one of the
following core areas:Research design and data analysisApplied
statisticsData engineering, storage, retrievalVisualizing and
communicating dataApplied machine learningPrivacy, security, and
ethics of dataExperiments and causal inferenceVery large scale data
mining and analysisApplied regression and time series analysisDeep
learningSocial network analysisNatural language processingA record
of authored publications or articles in preparation.Preferred
qualifications include 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 effectively with diverse people in a highly
multidisciplinary environment.Salary:Starting salaries are
typically in the range of $60,000 to $65,000 per year and
commensurate with qualifications and experience.This position is in
a represented bargaining unit.The total duration of an individual's
postdoctoral service may not exceed five years, including
postdoctoral service at other institutions.To apply, please go to
the following link: https://aprecruit.berkeley.edu/JPF02576This
pool will remain open until February 1, 2021. If you wish to remain
in the pool after February 1, 2021 you will need to reapply.Letters
of reference will only be solicited for finalists. 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 (
https://apo.berkeley.edu/ucb-confidentiality-policy ) prior to
submitting their letters.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 policysee:
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
teaching or other related areas. We require that applicants submit
a statement addressing past and/or potential contributions.UC
Berkeley has an excellent benefits package as well as a number of
policies and programs to support employees as they balance work and
family, if applicable.Please direct questions to
pmarchetti@berkeley.edu .Copyright 2017 Jobelephant.com Inc. All
rights reserved.Posted by the FREE value-added recruitment
advertising agencyjeid-869ba8665b35734d9b4f5c997f9b7dbd
Keywords: University of California Berkeley, Berkeley , Postdoctoral Scholar - Data Science Program - School of Information, Other , Berkeley, California
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