Postdoctoral Position in Data Science at UC Davis
The Department of Statistics at the University of California, Davis (https://statistics.ucdavis.edu/), and the UC Davis TETRAPODS Institute of Data Science (https://
ucd4ids.ucdavis.edu/) funded by the NSF HDR-TRIPODS grant, are soliciting applications for a Postdoctoral Employee position starting July 1, 2020.
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; and 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, 2017. The appointment may include teaching up to three courses per academic year, which will be negotiable. The appointment will be for up to two years, renewable after the first year upon demonstration of satisfactory performance in research and teaching (if applicable).
The position will remain open until filled, but to assure full consideration please submit a cover letter, Statement of Research, Statement of Teaching, Statement of Contribution to Diversity, curriculum vitae, 2-4 letters of reference, and transcripts (if PhD obtained during 2017 or later) by March 13, 2020.
Applications are submitted online through UC Recruit at https://recruit.ucdavis.edu/analyst/recruitments/JPF03387/.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age or protected veteran status.
Department of Statistics, University of California, Davis
