Postdoctoral Research Associate in Applied and Computational Mathematics Department of Applied and Computational Mathematics and Statistics University of Notre Dame, Notre Dame, Indiana The Department of Applied and Computational Mathematics and Statistics (ACMS) at The University of Notre Dame invites applications for a Postdoctoral Associate in Applied Mathematics to begin in August 2022 or after. The initial contract will be for one year, which can be extended 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 in ACMS and Dr. Walter Scheirer in Computer Science and Engineering on developing and applying numerical methods for solving nonlinear equations and multi-objective optimization techniques in machine learning. This position has no teaching responsibilities. Candidates who have interests in working on projects related to any of the following fields are in particular encouraged to apply: machine learning, numerical algebraic geometry, optimization, statistics, and stochastics. To apply, please submit a cover letter, CV, research statement, and three letters of research references via MathJobs. For questions, contact Dr. Jonathan Hauenstein (hauenstein@nd.edu) Review of applications will begin immediately. The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and is committed to building a culturally diverse workplace. We strongly encourage applications from female and minority candidates and those candidates attracted to a university with a Catholic identity. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60741.5(a) and 41 CFR 60300.5(a). |