Most recent review date: Thursday, Jan 19, 2023 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Wednesday, Mar 15, 2023 at 11:59pm (Pacific Time) 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.
Position description The School of Information at UC Berkeley welcomes applications for a full-time, non-tenure-track position at the Assistant Adjunct Professor level in the area of Data Engineering, Machine Learning and/or Natural Language Processing. This faculty member will teach in and be an integral part of the Master of Information and Data Science program and will conduct research in one of, or at the intersection of, data-driven engineering, machine learning, and natural language processing. Applicants must be up-to-date with and conversant in the latest methods and techniques.
This position is fully funded. The initial appointment is for two years, with the potential for renewal.
The position will include teaching in our online Master's program in Information and Data Science; service related to development, evaluation, and delivery of the Data Science program and courses; research collaboration; and participation in the intellectual community at the School of Information and on the Berkeley campus. The person offered a position on our faculty would have an opportunity to interact with a diverse set of colleagues, who value inclusion and welcome collaboration. Berkeley also offers opportunities to interact and collaborate with researchers in other departments and with scientists and engineers at the Lawrence Berkeley National Laboratory. While research is an important aspect of this role, the focus of the responsibilities of this position is on teaching and service to the Data Science program.
The School of Information is a multidisciplinary professional school. Our faculty members come from diverse fields, including political science, sociology, economics, law, engineering, computer science, media arts and design, and information science. We share a commitment to building a new field of scholarship and practice that addresses the design of new genres of information, information systems, and media, information policy and ethics, and the relationships among information/ information systems and individuals, organizations, and society.
The School is committed to addressing the family needs of faculty, including dual career couples and single parents. We are also interested in candidates who have had non-traditional career paths or who have taken time off for family reasons, or who have achieved excellence in careers outside academia. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: http://ofew.berkeley.edu/new-faculty.
Preparing Diversity Statement: https://ofew.berkeley.edu/recruitment/contributions-deib/support-faculty-candidates Qualifications Basic qualifications (required at time of application) PhD or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program at the time of application. Additional qualifications (required at time of start) A PhD or international equivalent degree is required by the start date of the job. Preferred qualifications Preferred qualifications (by start date) include a PhD in a relevant science, technical, or interdisciplinary field such as Computer Science, Information, Information Science, Economics, Political Science, or Engineering with research experience in the field of data engineering, machine learning and/or natural language processing. Preferred qualifications also include a demonstrated record of relevant research , demonstrated teaching in online synchronous classroom environments, as well as online course development (formation of educational goals, design of curriculum and learning activities). A successful candidate will possess appropriate technical expertise and relevant research and be committed to working in a multidisciplinary setting. Relevant professional or industry experience in a data science or similar role is also desirable. The School is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching, research, and service. Application Requirements Document requirements
Curriculum Vitae - Your most recently updated C.V.
Statement of Research Experience
Statement of Teaching Experience
Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).
Course Evaluations - From any prior classes taught as instructor, co-instructor, or teaching assistant
Research and Teaching Link - A link to a website demonstrating applicant's research and teaching expertise. (In case the applicant does not have a link to a website demonstrating research and teaching expertise, they can upload their materials here.)
3 required (contact information only)
Apply link:https://aprecruit.berkeley.edu/JPF03704 Help contact:email@example.com Campus Information Diversity, equity, inclusion, and belonging are core values at UC Berkeley. Our excellence can only be fully realized by faculty, students, and academic and non-academic staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity, inclusion, and belonging.
The University of California, Berkeley 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
In searches when letters of reference are required 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 prior to submitting their letter.
As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs - With Updated Interim Amendments. All Covered Individuals under the policy must provide proof of receiving the COVID-19 Vaccine Primary Series or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, Religious Objection, and/or Deferral based on pregnancy or recent COVID-19 diagnosis and/or treatment) no later than the applicable deadline. All Covered Individuals must also provide proof of receiving the most recent CDC-recommended COVID-19 booster or properly decline such booster no later than the applicable deadline. New University of California employees should refer to Exhibit 2, Section II.C. of the SARS-CoV-2 (COVID-19) Vaccination Program Attachment for applicable deadlines. All Covered Individuals must also provide proof of being Up-To-Date on seasonal influenza vaccination or properly decline such vaccination no later than the applicable deadline. Please refer to the Seasonal Influenza Vaccination Program Attachment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
The University of California was chartered in 1868 and its flagship campus - envisioned as a "City of Learning" - was established at Berkeley, on San Francisco Bay. Today the world's premier public university and a wellspring of innovation, UC Berkeley occupies a 1,232 acre campus with a sylvan 178-acre central core. From this home its academic community makes key contributions to the economic and social well-being of the Bay Area, California, and the nation.