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Visiting Assistant Professor
Job Description
Applications are invited for Visiting Assistant Professors (VAPs), renewable up to three years, in all areas of mathematics. VAPs teach no more than five quarter classes per year. Strong promise in research and teaching is required. Appointments will be effective July 1, 2023, or later. Applicants must possess a Ph.D. in Mathematics or related field by employment start date. Completed applications must be submitted through http://recruit.ap.uci.edu/JPF07631 and must contain: (1) Cover letter (2) CV (3) Research statement (4) Teaching statement - See our guidance for writing a reflective teaching statement: https://dtei.uci.edu/the-reflective-teaching-statement/ (5) Inclusive Excellence Activities Statement - Statement addressing how past and/or potential contributions to inclusive excellence will advance UCI's Commitment to Inclusive Excellence. See our guidance for writing an inclusive excellence activities statement: https://ap.uci.edu/faculty/guidance/ieactivities/ (6) Teaching (TA) evaluations (7) Selected reprints and/or preprints (8) Three reference letters (at least one addressing teaching) Please reference job #07631 in the subject line of all correspondence. Applications are welcome at any time. The review process starts October 1, 2022 and will continue until positions are filled. A portion of the candidate pool will be considered for the NSF-Simons team studying the thoretical foundations of deep learning. Candidates wishing to be considered should simultaneously apply to https://deepfoundations.ai/news/postdoctoral-positions-2021 Teaching loads vary dependent upon funding. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancinginclusive excellence. All qualified applicants will receive consideration for employment withoutregard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability,age, protected veteran status, or other protected categories covered by the UC nondiscriminationpolicy. |
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