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Assistant/Associate/Full Teaching Professor - Data Science and Statistics - Department of Statistics

Position overview

Position titles:
Anticipated start: July 1, 2023

Application Window

Open October 31, 2022 through Tuesday, Jan 31, 2023 at 11:59pm (Pacific Time)

Position description

The Department of Statistics in the Division of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley seeks applications for an open rank position at the Assistant or Associate/Full Teaching Professor levels in Data Science. The positions are formally titled Lecturer with Potential for Security of Employment (LPSOE), Lecturer with Security of Employment (LSOE), or Senior Lecturer with Security of Employment (Sr. LSOE) depending on qualifications and experience. The appointment, initially in Statistics, is expected to transfer to a forthcoming Department focusing on data science.

UC Berkeley is a global leader in undergraduate Data Science and Statistical education. The successful candidate will join a diverse and welcoming community of scholars and educators who work collaboratively to create educational, intellectual and professional opportunities with broad societal impact for a new generation of students Together, they train data scientists who are equipped not only to create innovative tools but also to be mindful of the social context and ethical implications of their work.

The primary duties and responsibilities of an appointee to the position are pedagogical innovation, teaching and advising, and academic program development. Secondary responsibilities are professional and/or scholarly achievement and creative activities including those related to instruction and pedagogy. Therefore, the appointee is expected to demonstrate a record of and/or potential for pedagogical excellence and innovation both in the classroom and in scholarly activities.

Diversity, equity, inclusion, and belonging are core values of the Department of Statistics and CDSS. We believe that our excellence can only be realized by faculty, students, and staff who fully share our commitment to these values. The appointee is expected to demonstrate equitable and inclusive teaching practices such as those described on the website for the Center for Teaching & Learning (https://teaching.berkeley.edu/resources/promoting-equitable-and-inclusive-learningenvironment).

The department 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.

Since the formation of the Department of Statistics in 1955, its faculty and graduates have shaped the foundations and applications of Statistics. The Department currently has over 30 active research faculty, six of whom are members of the National Academy of Sciences: [Peter Bickel, Jennifer Chayes, Steven Evans, Michael Jordan, Rasmus Nielsen, Bin Yu]. It has been at the forefront of Data Science education, offering innovative undergraduate curricula and an open-source web-based interactive computing platform for research and instruction. CDSS also hosts an annual National Workshop on Data Science Education.

In parallel with the formation of the new College of Computing, Data Science, and Society (CDSS), the creation of a new Department of Data Science (DoDS) is also under consideration. This innovative department would serve to advance the frontiers of data science by recruiting outstanding and diverse faculty working at the interfaces of computing, statistics, and domain applications and by fostering cross-campus collaborative interactions. We envision world-class leaders in the foundations, applications, and implications of data science co-located in a common transdisciplinary academic unit that would facilitate cross-fertilization between these fields, so that the latest computational and statistical methods are brought to bear soundly and rigorously to address timely and high-impact societal questions. As one of Berkeley’s newest academic departments, DoDS would embed diversity, equity, inclusion, belonging, and justice (DEIBJ) into its foundation. It would recruit a diverse and inclusive faculty that would cultivate an open pedagogical environment to train the next generation of data scientists, with both first-rate computational and statistical foundations and a deep understanding of the applications and ethical implications of data and algorithms.

Qualifications

Basic qualifications (required at time of application)

PhD (or equivalent international degree) or enrolled in a PhD-generating program (or equivalent international program) at the time of application.

Preferred qualifications

The successful candidate for a Teaching Professor position –at the Assistant, Associate or Full rank, depending on qualifications– will preferably finish their PhD or equivalent degree within one year of their appointment’s expected start date. Applicants are expected to have demonstrated teaching and research potential. Serious consideration will be given to the candidate’s potential for pedagogical innovation, record in teaching at the undergraduate level, and potential for effective leadership. Serious consideration will be given to professional service, including service promoting access to and diversity in higher education and the academic profession.

Application Requirements by Level

Assistant

Position title: Assistant Teaching Professor

Individuals should submit their application at this level if they meet one of the following conditions: Current or recent PhD candidate or graduate; current or recent postdoc; current assistant teaching professor (including those who are “senior” assistant teaching professors near tenure). Please note that this level determination is only for application review purposes, not the ultimate appointment level of the finalist.

Attention applicants at the Assistant Teaching Professor level: Please be aware that we are also conducting a second search for an Assistant Teaching Professor (aprecruit.berkeley.edu/JPF03565). If you would like to be considered for both positions, you must submit applications for both positions.

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Statement of Classroom Teaching and Mentoring - This statement should describe your approach to classroom instruction, including those approaches that promote inclusive classroom environments and working with students in a one-on-one setting. Please include discussion of your relevant experience and expertise and address how your pedagogical approach supports diversity, equity and inclusion in the classroom.

  • Statement of Curricular Vision - This statement should take a broader view of teaching and describe your vision of Data Science courses and programs at the undergraduate and Master's levels, with particular emphasis on their relation to inferential thinking and statistics. Please include discussion of your relevant experience and expertise and how the proposed curricula would support students of diverse backgrounds to maintain an inclusive educational environment.

  • Statement of Research or Industrial Experience - While the focus of this position is active teaching, other scholarly activities, including research that relates to pedagogy, are welcome. This statement should describe any past research experience that you can foresee connecting with your pedagogical practice. For candidates with a substantive record of industrial experience or other non-academic path, you should describe your experiences in that context that will be relevant to your teaching.
    (Optional)

  • Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Your contributions to diversity, equity, and inclusion, are required to be discussed in the context of the two Teaching-related statements. However, you may optionally submit a separate statement with additional 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).
    (Optional)

  • Documentation of Excellence - 1 of 3 samples of scholarship such as teaching materials, preprints, thesis draft, and publications

  • Documentation of Excellence - 2 of 3 samples of scholarship such as teaching materials, preprints, thesis draft, and publications

  • Documentation of Excellence - 3 of 3 samples of scholarship such as teaching materials, preprints, thesis draft, and publications
    (Optional)

Reference requirements
  • 3 required (contact information only)

3 names and contact information (e-mail address) for writers of letters of recommendation are required at the time of application. Letters of recommendation will be required only for those candidates under serious consideration and the Department will notify the applicants prior to contacting their letter writers.

Apply link: https://aprecruit.berkeley.edu/JPF03713

Associate/Full Teaching Professor

Position title: Associate/Full Teaching Professor

Individuals should submit their application at this level if they meet one of the following conditions: Current tenured Senior Teaching professor; position equivalent to tenured Associate/Full Teaching professor (ie., at an international university). Please note that this level determination is only for application review purposes, not the ultimate appointment level of the finalist.

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Statement of Classroom Teaching and Mentoring - This statement should describe your approach to classroom instruction, including those approaches that promote inclusive classroom environments and working with students in a one-on-one setting. Please include discussion of your relevant experience and expertise and address how your pedagogical approach supports diversity, equity and inclusion in the classroom.
    (Optional)

  • Statement of Curricular Vision - This statement should take a broader view of teaching and describe your vision of Data Science courses and programs at the undergraduate and Master's levels, with particular emphasis on their relation to inferential thinking and statistics. Please include discussion of your relevant experience and expertise and how the proposed curricula would support students of diverse backgrounds to maintain an inclusive educational environment.
    (Optional)

  • Statement of Research or Industrial Experience - While the focus of this position is active teaching, other scholarly activities, including research that relates to pedagogy, are welcome. This statement should describe any past research experience that you can foresee connecting with your pedagogical practice. For candidates with a substantive record of industrial experience or other non-academic path, you should describe your experiences in that context that will be relevant to your teaching.
    (Optional)

  • Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Your contributions to diversity, equity, and inclusion, are required to be discussed in the context of the two Teaching-related statements. However, you may optionally submit a separate statement with additional 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).
    (Optional)

  • Documentation of Excellence - 1 of 3 samples of scholarship such as teaching materials, preprints, thesis draft, and publications

  • Documentation of Excellence - 2 of 3 samples of scholarship such as teaching materials, preprints, thesis draft, and publications

  • Documentation of Excellence - 3 of 3 samples of scholarship such as teaching materials, preprints, thesis draft, and publications
    (Optional)

Reference requirements
  • 3 required (contact information only)

3 names and contact information (e-mail address) for writers of letters of recommendation are required at the time of application. Letters of recommendation will be required only for those candidates under serious consideration and the Department will notify the applicants prior to contacting their letter writers.

Apply link: https://aprecruit.berkeley.edu/JPF03713

Help contact: recruit-stat@berkeley.edu

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 (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.

Job location

Berkeley, CA