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Assistant Professor in Statistics

Position overview

Position title: Assistant Professor
Anticipated start: 07/01/2022

Application Window

Open September 15th, 2021 through Thursday, Jun 30, 2022 at 11:59pm (Pacific Time)

Position description

The Department of Statistics at the University of California, Riverside invites applications for a tenure-track Assistant Professor position, beginning July 1, 2022. Salary is competitive and commensurate with qualifications and experience.

The position targets candidates that have demonstrated high-quality research and are committed to excellent teaching. Applicants in all areas of Statistics will be given serious consideration, but we are particularly interested in candidates who have expertise in Bayesian analysis, clinical trials, big data analysis, causal inference, spatial/environmental statistics, graphical models, precision/personalized medicine, and statistical machine learning.

The required qualification for this position at time of application is demonstrated high-quality research in statistics and/or data science and commitment to excellent teaching.

The additional qualification for this position at time of employment is a Ph.D. in Statistics, Biostatistics, or a closely related field.

Advancement through the Professorial ranks at the University of California is through a series of structured, merit-based evaluations, occurring every 2-3 years, each of which includes substantial peer input.

To apply: submit the following to https://aprecruit.ucr.edu/apply/JPF01457:
• Cover Letter – Short cover letter describing background and interests.
• Curriculum Vitae – Most recently updated C.V.
• Statement of Teaching
• Statement of Research/Scholarly Activities
• Statement of Past and/or Planned Future Contributions to Advancing Diversity and Inclusive Excellence – Applicants should summarize their past and/or potential future contributions to promoting a diverse, equitable, and inclusive environment, which can be reflected through research, teaching, supervision, mentoring, community engagement, service, and any of the other varied activities that are a part of an academic career.
• Letters of Reference – Applicants should provide 3 letters.

Review of applications will commence on November 10, 2021, and proceed until position is filled. For full consideration, applicants should submit their complete applications prior to the above date.

For more information about this position, please contact Dr. Weixin Yao, Chair of the Search Committee, Department of Statistics, at weixin.yao@ucr.edu. For questions on application procedures and requirements, please contact Ms. Kendall Dunmore, Academic Personnel, at kendall.dunmore@ucr.edu.

Qualifications

Basic qualifications (required at time of application)

Applicants have demonstrated high-quality research in statistics and/or data science and are committed to excellent teaching.

Preferred qualifications

Applicants in all areas of Statistics will be given serious consideration, but we are particularly interested in candidates who have expertise in Bayesian analysis, clinical trials, big data analysis, causal inference, spatial/environmental statistics, graphical models, precision/personalized medicine, and statistical machine learning.

Application Requirements

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

  • Cover Letter

  • Statement of Research

  • Statement of Teaching

  • Statement of Past and/or Planned Future Contributions to Advancing Diversity and Inclusive Excellence - In a “Statement of Past and/or Planned Future Contributions to Advancing Diversity and Inclusive Excellence”, we ask applicants to describe their past and/or potential future contributions to promoting a diverse, equitable, and inclusive environment, which is a key requirement of the role of every faculty member and administrator at UCR. There are numerous ways to contribute, and a commitment to this part of our mission can be reflected through research, teaching, supervision, mentoring, community engagement, service, and any of the other varied activities that are a part of an academic career.

  • Misc / Additional (Optional)

Reference requirements
  • 3 letters of reference required

Please provide the contact information for a minimum of three references. The Search Committee will request the confidential reference letters via AP Recruit as part of your application.

Apply link: https://aprecruit.ucr.edu/JPF01457

Help contact: kendall.dunmore@ucr.edu

Campus Information

UCR is a world-class research university with an exceptionally diverse undergraduate student body. Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

University of California COVID-19 Vaccination Program Policy
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. New University of California employees must (a) provide proof of receiving at least one dose of a COVID-19 Vaccine no later than 14 calendar days after their first date of employment and provide proof of Full Vaccination no later than eight weeks after their first date of employment; or (b) if applicable, submit a request for Exception or Deferral no later than 14 calendar days after their first date of employment. Federal, state, or local public health directives may impose additional requirements.

Job location

Riverside, CA