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Assistant Adjunct Professor - Data Science - School of Information

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Position overview

Position title: Assistant Adjunct Professor
Salary range: 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%
Anticipated start: July 1, 2023
Review timeline: 1/5/2023 - 3/15/2023
Position duration: 2 years with potential for reappointment

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.

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.

  • 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).

  • 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.)

  • Selected Publication

  • Selected Publication

  • Selected Publication

Reference requirements
  • 3 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF03704

Help contact: pmarchetti@berkeley.edu

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).

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 University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Job location

Berkeley, CA