The Department of Applied and Computational Mathematics and Statistics (ACMS) in the College of Science at the University of Notre Dame is accepting applications for a Robert and Sara Lumpkins Postdoctoral Fellowship in Statistics to be filled this year. This is a three year nonrenewable position. Preference will be given to applicants whose research includes multidisciplinary collaborations and aligns with the research interests of the department.
ACMS includes research groups in applied mathematics, statistics, and computational science. ACMS offers a Bachelor of Science, a doctoral degree, a research master’s degree, and a professional master’s degree. The teaching load for the Lumpkins Postdoctoral Fellowship is one course each semester. To facilitate conference travel and collaborations, this fellowship is accompanied by a generous annual travel allowance. The position begins in August 2022.
We will begin reviewing completed applications immediately and will continue accepting applications until the position is filled.
The successful applicant must have a record of success in research in statistics and, at the start of the appointment, a doctorate in statistics or a closely related field.
Applicants must submit a cover letter, curriculum vitae, research statement, and should also arrange for at least three letters of recommendation to be submitted through the mathjobs system at the following link: https://www.mathjobs.org/jobs/list/19477. These letters should address the applicant's research accomplishments.
The Department of Applied and Computational Mathematics and Statistics (ACMS) at The University of Notre Dame invites applications for a Postdoctoral Research Associate in Applied and Computational Mathematics to begin in August 2022 or after. The initial contract will be for one year, which can be extended for another year upon satisfactory performance and availability of funding.
The candidate should have a Ph.D. in Applied Mathematics, Mathematics, Statistics, or a related field (by August 2022), and have a strong background in computational mathematics. The postdoc will collaborate with Dr. Jonathan Hauenstein on research projects involving nonlinear equations. Candidates who have interests in working on projects related to any of the following fields are in particular encouraged to apply: computational methods and applications of solving nonlinear equations, numerical algebraic geometry, optimization, kinematics and robotics, and machine learning. The candidate may also teach courses in applied mathematics and statistics at all levels.
To apply, please submit a cover letter, curriculum vitae, research statement, teaching statement, and three letters of research references via MathJobs at the following link: https://www.mathjobs.org/jobs/list/19677. For questions, contact Dr. Jonathan Hauenstein (email@example.com).
Review of applications will begin immediately.