Lecturer - Data Science - 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 a pool of part-time, non-tenure
track lecturers to teach courses in Data Science. We are seeking
outstanding lecturers who can teach 15-person sections in our
web-based Master's in Information and Data Science program
(datascience.berkeley.edu). 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.
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.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. We offer two web-based master's programs: MIDS is the
first degree available completely online to train data science
professionals, and MICS is the first and only degree to train
cybersecurity 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.ResponsibilitiesIn 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).Basic qualifications (by time of
application):A bachelor's degree (or equivalent international
degree).Additional qualifications (by start date):Experience
teaching college-level coursesPreferred QualificationsAn advanced
degree in a field such as Data Science, Information, Information
Science, Statistics, Computer Science, Engineering, Political
Science, Sociology, Law, or Economics.Professional experience in a
field such as Data Science, Information, Information Science,
Statistics, Computer Science, Engineering, Political Science,
Sociology, Law, or Economics.Demonstrated excellence in teaching
college-level courses.Experience teaching college-level courses
online.Teaching experience in at least one of the following core
areas:Introductory programmingResearch 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 processingPreferred 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.SalaryThe
full-time annual fiscal-year salary range is $61,930 to $162,227.
The School of Information generally hires lecturers for appointment
at 17% to 34% time on a semester basis.This position is in a
represented bargaining unit.To apply, please go to the following
link: https://aprecruit.berkeley.edu/JPF02569 .This 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.Please note:
The use of a lecturer pool does not guarantee that an open position
exists. See the review date specified in AP Recruit to learn
whether the school is currently reviewing applications for a
specific position. If there is no future review date specified,
your application may not be considered at this time.Letters of
reference will only be solicited for finalists. 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
( 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 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
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 all questions to
pmarchetti@berkeley.edu .Copyright 2017 Jobelephant.com Inc. All
rights reserved.Posted by the FREE value-added recruitment
advertising agencyjeid-95655b55f2fc1447b27766f22ad10a8f
Keywords: University of California Berkeley, Berkeley , Lecturer - Data Science - School of Information, Other , Berkeley, California
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