A post-doc position will become available in Summer/Fall 2020 at the
Department of Statistics, University of California, Davis. The post-doc
will work with Hans-Georg Müller and Jane-Ling Wang at UC Davis within a
larger research team to develop statistical methodology supported by
theory, extending concepts of functional data analysis and metric geometry
for sparsely observed object data in metric spaces. The methods will
inform the analysis of longitudinal studies for child development, with
emphasis on the analysis of brain image data. The ideal candidate combines
interest in theory with experience in empirical process theory and in
statistical modeling with excellent programming skills.
Applicants are required to have completed a Ph.D. in Statistics or a
related field by the time of their appointment, but no earlier than July 1,
2017. The position will initially be for one year, with renewal for a
second year possible, depending on performance and the availability of
funding.
To apply please submit a cover letter, research statement with links to
papers/preprints, CV, 2 letters of reference, and transcripts. The position
will remain open until filled. Full consideration is guaranteed for
applications received prior to May 31, 2020, however the position will
remain open until filled.
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.
