Assistant Adjunct Professor in Data Science
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.
Ph.D. or equivalent international degree, or enrolled in a Ph.D. or equivalent international degree granting program at the time of application.
A Ph.D. or international equivalent degree is required by the start date of the job.
Preferred qualifications (by start date) include a Ph.D. 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.
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
The posted UC academic salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2022-23-academic-salary-scales.html) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position https://www.ucop.edu/academic-personnel-programs/_files/2022-23/oct-2022-salary-scales/t2.pdf. ‘Off-scale salaries’ and other components of pay, which would yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.
Percent time: 100%
Open date: January 5, 2023
Next review date: Thursday, Jan 19, 2023 at 11:59 pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, Mar 15, 2023 at 11:59 pm (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.
Anticipated start: July 1, 2023
How to Apply
To apply, please go to https://aprecruit.berkeley.edu/JPF03704
Questions may be sent to email@example.com
- Curriculum Vitae: Your most recently updated C.V.
- Cover Letter
- 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). https://ofew.berkeley.edu/recruitment/contributions-deib/support-faculty-candidates
- 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 Selected Publications
- 3 references (contact information only)
About the I School
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.
Working at UC Berkeley
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 (http://apo.berkeley.edu/ucb-confidentiality-policy) prior to submitting their letter.
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
Positions that are represented by a collective bargaining unit or agent have particular contracts. For more information, please refer to the relevant contract: Lecturer contract, Postdoctoral contract, Research Series contract, and Librarian contract. Questions about represented positions can be directed to the hiring unit.