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Position: Lecturer in Statistics and Applied Probability
Institution: University of California, Santa Barbara
Location: Santa Barbara, California, United States
Duties: The Department of Statistics & Applied Probability at University of California, Santa Barbara invites applications for Lecturer positions. Applicants are expected to show a strong commitment to excellence in teaching undergraduate statistics, data science or probability. The appointment can be either full-time or part-time for upcoming openings. Reappointment is subject to ongoing Departmental needs, satisfactory performance, and available funding. Teaching duties include a range of introductory and upper-division courses according to department needs
Requirements: Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation at the time of application and should have completed their PhD (or equivalent) by the time of appointment. Documented experience (at least 1 year of lecturing experience) in teaching Statistics or a related field at the college level is preferred. Teaching evaluations, where available, should also be submitted as part of the Teaching Statement
   
Text: Skip to main content Recruit HomeOpen RecruitmentsLecturer in Statistics and Applied Probability (JPF01852) Lecturer in Statistics and Applied Probability Apply now to Lecturer in Statistics and Applied Probability Job #JPF01852 College of Letters & Science - Mathematical, Life, and Physical Sciences - Statistics and Applied Probability Recruitment Period Open date: November 1st, 2020 Next review date: Monday, Feb 1, 2021 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Sunday, Oct 31, 2021 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. Description The Department of Statistics & Applied Probability at University of California, Santa Barbara invites applications for Lecturer positions. Applicants are expected to show a strong commitment to excellence in teaching undergraduate statistics, data science or probability. The appointment can be either full-time or part-time for upcoming openings. Reappointment is subject to ongoing Departmental needs, satisfactory performance, and available funding. Teaching duties include a range of introductory and upper-division courses according to department needs. Salary is based on UC’s salary scales and depends on qualifications and experience. Candidates should discuss their teaching experience and teaching-related activities in their teaching statement. Full-time lecturers hired in this search receive one-year contracts with the possibility of renewal up to six years; at the sixth year, a lecturer may be considered for a continuing appointment, which is an ongoing contract with merit reviews every three years. Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation at the time of application and should have completed their PhD (or equivalent) by the time of appointment. Documented experience (at least 1 year of lecturing experience) in teaching Statistics or a related field at the college level is preferred. Teaching evaluations, where available, should also be submitted as part of the Teaching Statement. Interested candidates should apply electronically by submitting a current CV, Cover Letter, a Statement of Teaching, and arrange for three letters of recommendation sent via UC Recruit, ideally directed towards teaching. Materials should be submitted electronically via UC Recruit: https://recruit.ap.ucsb.edu/JPF01852 Review of applications will commence after December 1, 2020 and will continue as needed. The posting will remain open until October 31, 2021 to accommodate department needs. Diversity, equity, and inclusion are core values at UC Santa Barbara. Our excellence can only be fully realized by faculty, staff, students, and staff who share our commitment to these values. The department encourages all applicants to submit a Statement of Contributions to Diversity addressing past and/or potential contributions to diversity through teaching and teaching related activities. The Department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position. For more information about the Department please see http://www.pstat.ucsb.edu. The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job location Santa Barbara, CA Requirements Document requirements Cover Letter Curriculum Vitae - Your most recently updated C.V. Statement of Teaching - Please upload your teaching statement and teaching evalutionations (where available). Statement of Contributions to Diversity - Statement addressing past and/or potential contributions to diversity through research, teaching, and/or service. (Optional) Reference requirements3 letters of reference required Apply now to Lecturer in Statistics and Applied Probability or Log in to your portfolio Need help? Contact the hiring department. The University of California Santa Barbara is an Equal Opportunity/Affirmative Action Employer. You have the right to an equal employment opportunity. For more information about your rights, see the EEO is the Law Supplement The University of California Santa Barbara is committed to providing reasonable accommodations to applicants with disabilities. See our Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act Annual Security Reports Academic Personnel Recruit University of California Santa Barbara Accessibility About Campus privacy policy | GDPR statement © 2007-2021 The Regents of the University of California. All rights reserved.
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