The Department and the Institute seek applicants who demonstrate promise and the capability of developing cutting edge
computational, mathematical, and/or statistical methodology pertaining to modern areas of data science that involve large and
complex data, as well as effective teaching skills. In particular, those candidates whose research interests are in the following three broad themes of the Institute are strongly encouraged to apply:
1) Fundamentals of machine learning directed toward biological and medical applications;
2) Optimization theory and algorithms for machine learning including numerical solvers for large-scale nontrivial learning problems;
3) High-dimensional data analysis on graphs and networks.
Applicants are required to have completed their Ph.D. by the time of their appointment, but no earlier than July 1, 2016. The annual salary is $70,100. Appointments are renewable for a total of up to three years, upon demonstration of satisfactory
performance in research and teaching. The teaching load is 2 quarter-long courses for the first two years, and 4 quarter-long courses for the final third year. Applications include: Cover Letter, CV, Research Statement, Teaching Statement, Letters of Reference including a letter which addresses teaching, and an optional Statement of Contributions to Diversity.
Additional information about the department may be found at http://www.math.ucdavis.edu. <https://www.math.ucdavis.edu/about/employment/kap/http//www.math.ucdavis.edu>
Applications will be accepted until the position is filled. To guarantee full consideration, the application should be received by November 30, 2019. The application is available through UCRecruit at https://recruit.ucdavis.edu/JPF03186/ <https://recruit.ucdavis.edu/JPF03186/>.
The University of California, Davis, is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty and staff.
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