Michigan State University, Computational Mathematics, Science and Engineering

Position ID: MSULBC12-POSTDOC [#23630]
Position Title: Research Associate/Postdoctoral Researcher
Position Type: Postdoctoral
Position Location: EAST LANSING, Michigan 48824, United States [map] sort by distance
Subject Area: Blended Computing
Application Deadline: 2023/12/15 11:59PMhelp popup finished (2023/10/25, finished 2024/04/18)
Position Description:    

*** this position has been closed. ***

The Center for Hierarchical and Robust Modeling for Non-Equilibrium Transport (CHaRMNET; https://charmnet-mmicc.github.io), led by MSU’s Department of Computational Mathematics, Science, and Engineering (CMSE), seeks to hire a postdoctoral researcher in the area of blended computing with a start date of Fall 2024. “Blended computing” is a combination of scientific machine learning and numerical methods for constructing multiscale methods to solve complex problems in science and engineering. CHaRMNET is a Department of Energy Mathematical Multifaceted Integrated Capabilities Center that is focused on creating advanced tools for modeling fusion energy, with a particular goal of enabling optimal design based on first-principle models of fusion systems.

The research conducted as part of this postdoctoral position will focus on building multiscale models for fusion-related plasmas through a blending of machine learning and scientific computing. This postdoctoral position will initially have a one year duration, with renewal for up to three years depending on performance and availability of funding. The CMSE faculty that will primarily mentor a successful candidate include Professors Andrew Christlieb, Huan Lei, and Brian O’Shea; however, research carried out within CHaRMNET will necessarily involve collaborations across the center, which involves 5 universities and 4 national laboratories. In addition to performing cutting-edge research this position will include significant professional development opportunities, including hands-on experience in writing grant proposals, mentoring undergraduate and/or graduate students, and teaching one course per year in computational modeling, data science, numerical methods, or related fields. A successful candidate for this position will have the following qualifications: ● A PhD in applied mathematics, computer science, computational physics, or a related field, received by no later than August 15, 2024. ● Expertise in either numerical methods for solving systems of hyperbolic conservation laws or scientific machine learning.

In addition, desired qualifications include some of the the following: ● Coursework and/or practical experience in any one of the following: computational electromagnetics, computational plasma physics, machine learning algorithms in the context of inverse problems, or surrogate models in the context of uncertainty quantification. ● Demonstration of experience in, or interest in, working as part of an interdisciplinary research team. ● Experience teaching undergraduate students in any field, preferably using research-based teaching methods.

To apply: An application requires a CV, research statement, statement of teaching experience and interests, and the names and contact information for three professional references that will be contacted if the candidate advances past the initial screening phase. The combined length of the research and teaching statements should be roughly 4-5 pages, not including figures and references. Interested applicants are encouraged to contact Professor Andrew Christlieb at christli@msu.edu, or apply directly to posting number 826295 at careers.msu.edu. This ad is pointing you to a generic posting at MSU for postdocs working amongst a group of faculty. Please update your research statement to include your interest in applying for the position within CHaRMNET.

Review for the first round positions began 01/04/2023. Review for the second round of positions will begin 12/15/2023 and will continue until qualified candidates are identified.

Please note that the Together-we-will Statement has expired.

We actively encourage applications from women, persons of color, veterans, and persons with disabilities. MSU is an affirmative-action, equal-opportunity employer and is committed to achieving excellence through diversity.

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Contact: Andrew Christlieb
Email: email address
Web Page: cmse.msu.edu