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

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

POSITION OVERVIEW

Position titles:

  • Assistant Teaching Professor
  • Associate/Full Teaching Professor

Salary range: The posted UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t1-l.pdf For Assistant Level: The current base salary range for this position is $74,600 –$97,200. "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. For Associate/Full Level: The current base salary range for this position is $92,500 –$116,600/$108,300 - $197,100. "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.

Anticipated start: 7/1/2024

APPLICATION WINDOW

Open date: October 4, 2023

Next review date: Monday, Nov 20, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Monday, Nov 20, 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 Department of Statistics in the College of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley, seeks applicants for an open rank position at the Assistant or Associate/Full Teaching Professor levels. The position is 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. Teaching Professors are full members of the academic senate and are eligible for Security of Employment, equivalent to tenure.

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.

The faculty appointed to this position will participate in teaching and course development for the Data Science Major, an innovative group major offered by the EECS and Statistics faculty, with participation from colleagues across campus. As Berkeley’s first new college in more than 50 years, CDSS is in an exciting growth phase. The successful candidate will have the opportunity to actively shape its future through their participation in the college, including the potential formation of new interdisciplinary departments. This open-rank position (or a fraction thereof) may transfer to such a new unit, if and when established.

UC Berkeley is a global leader in undergraduate Data Science and Statistical education. Since the formation of the Department of Statistics in 1955, its faculty and graduates have shaped the foundations and applications of Statistics and Machine Learning. 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. 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, we 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 Department of Statistics, CDSS, and UC Berkeley use inclusive hiring practices. We encourage potential candidates to see their career accomplishments holistically, as we do, and to make the decision to apply even if they do not see their experience as conforming strictly to each of the preferred qualifications in this job description. We value inclusion and welcome collaboration. Any candidate who is excited about pedagogical innovation, teaching and Advising, and academic program development at UC Berkeley belongs on our list for consideration of our open position.

All departments on the Berkeley campus value diversity, equity, and inclusion as exemplified by the following principles of community:

  • We recognize the intrinsic relationship between diversity and excellence in all our endeavors.
  • We embrace open and equitable access to opportunities for learning and development as our obligation and goal.

Diversity, equity, inclusion, and belonging are core values of the Department of Statistics and CDSS. We are advancing 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. World-class leaders in the foundations, applications, and implications of data science 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. CDSS embeds diversity, equity, inclusion, belonging, and justice (DEIBJ) into its foundation, striving to 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.

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

The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, discrimination, exploitation, or intimidation. Consistent with this commitment, UC Berkeley requires all applicants for Senate faculty positions to complete, sign, and upload an Authorization of Information Release form into AP Recruit as part of their application. If an applicant does not include the signed authorization, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration. Although all applicants for faculty recruitments must complete the entire application, applicants will only be subject to reference checks if and when they are selected as the candidate to whom the hiring unit would like to extend a formal offer. More information is available here: https://ofew.berkeley.edu/attestation-prior-misconduct.

Departmenthttps://statistics.berkeley.edu/

Divisionhttps://data.berkeley.edu

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 or Associate/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 TEACHING PROFESSOR

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 Professor (including those who are “Senior” Assistant Professors near tenure); position equivalent to assistant 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.
  • 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)
  • Authorization to Release Information Form - A reference check will be completed only if you are selected as the candidate to whom the hiring unit would like to extend a formal offer. Download, complete, sign, and upload the Authorization to Release Information form.

Reference requirements

  • 3 letters of reference required

3 names and contact information (email address) for writers of letters of recommendation. Letter writers will receive a URL for the online system through which they should upload their letters. It is recommended that letters of reference be submitted by November 20, 2023. Candidates are responsible for asking their references to upload letters as part of the online application process.

Apply link: https://aprecruit.berkeley.edu/JPF04092

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 at the time of application for associate/full level applicants. Statement of Classroom Teaching and Mentoring will be required only for the finalists and the department will notify the applicant for the statement at that time if it was not submitted at the time of application.
    (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 at the time of application for associate/full level applicants. Statement of Curricular Vision will be required only for the finalists and the department will notify the applicant for the statement at that time if it was not submitted at the time of application.
    (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)
  • Authorization to Release Information Form - A reference check will be completed only if you are selected as the candidate to whom the hiring unit would like to extend a formal offer. Download, complete, sign, and upload the Authorization to Release Information form.

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/JPF04092

Help contact: recruit-stat@berkeley.edu

CAMPUS INFORMATION

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