Postdoctoral Fellow

The Johns Hopkins University’s Department of Applied Mathematics and Statistics invites applicants for one or more positions as Postdoctoral Fellow. Candidates must have completed their Ph.D. prior to their appointment start date, and no later than 12/31/23 and show definite promise in research and teaching. The teaching load will be at most one course each semester, and can be as little as one course per year, depending on funding and needs of the department, so that the appointee will have ample time for research. The appointment is for one year, renewable up to three years, with a typical duration of at least two years. These positions are dependent on funding availability.

The successful candidate will be expected to collaborate with Prof. Maggioni on problems that include: analysis and algorithms on graphs, geometric analysis of high dimensional data sets, dynamic data sets, high-dimensional probability and approximation theory, applications to machine learning, applications to analysis of images, high-dimensional stochastic dynamical systems (molecular dynamics in particular), model reduction, control. A strong background in analysis, probability, and at least one of the areas above, is required.

Applicants are asked to submit (a) an AMS standard coversheet; (b) a vita; (c) a description of current and past research (1-3 pages); (d) a plan for future research, and have at least four letters of recommendation, including one which evaluates teaching, submitted to mathjobs.org <https://www.mathjobs.org/jobs/list/21366> .

Additionally, the candidates should contact Prof. Maggioni via email (mauromaggionijhu@icloud.com), with a message containing “Postdoctoral Fellow” in the subject line, and should indicate any overlap of research interests with Prof. Maggioni.

Applications received by December 1st, 2022 will be guaranteed full consideration; early application is advisable.

The Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.

The Whiting School of Engineering and the Department of Applied Mathematics and Statistics are committed to building a diverse educational environment.

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