Michigan State University, Computational Mathematics, Science and Engineering

Position ID: MSULBC12-POSTDOC [#15068]
Position Title: Postdoctoral Researcher
Position Type: Postdoctoral
Position Location: East Lansing, Michigan 48824, United States [map]
Subject Area: data science and scientific computing
Application Deadline: 2020/04/30help popup (posted 2019/10/30, listed until 2020/04/30)
Position Description:    

The Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University (MSU) invites applications for several open post doc positions starting fall of 2020. CMSE is entering its 5th year, with 35 faculty members covering 12 traditional disciplines. All faculty, students and post docs in the department focus on the development of algorithms to address challenging problems in STEM. A significant area of research focus within CMSE is on the synergy between algorithms for computational modeling and data science in physical, biological, and engineering applications. The majority of tenure stream faculty within CMSE are jointly held with other departments on campus. Post docs hired into CMSE join a vibrant community of 18 post docs and 50 PhD students.

Applicants must apply through the MSU online system and refer to posting number 616041. Here is the direct link: https://careers.msu.edu/en-us/job/502648/research-associatefixed-term

While exceptional candidates from all areas of scientific computing and data science will be considered, Postdoctoral Researchers in CMSE are associated to a particular tenure stream faculty member. The following data science and scientific computing faculty members anticipate having openings in their respective labs:

1) Andrew Christlieb [christli@msu.edu] (The Christlieb Group): Research in the group focuses on Numerical Analysis and Scalable Algorithms (NASA) to address challenging stiff multi-scale problems. This includes working on developing: new class of implicit methods that are A-Stable and avoids matrix inversion; the development of asymptotic preserving methods for transport; new efficient methods for non-Ideal Magnetohydrodynamic based on constrained transport; as well as new space time adaptive methods for the simulation of hyperbolic conservation laws. Successful applicants working with Professor Christlieb will have a strong background in numerical analysis and scientific computing. http://www.the-christlieb-group.org. Preferred start date no later than August 10, 2020, earlier if possible.

2) Matthew Hirn [mhirn@msu.edu] (CEDAR Team): The ComplEx Data Analysis Research (CEDAR) team, led by Prof. Matthew Hirn, anticipates having one or possibly two post doc openings. Members of the CEDAR team develop novel, cutting edge algorithms to analyze, organize, and leverage high dimensional data for a variety of tasks. Our approach to algorithm development is rooted in harmonic analysis, signal processing, geometry, graph theory, statistics, random processes, and machine learning, while placing equal emphasis on theoretical and applied research directions. At this time the group is working on problems in: (1) the mathematics of deep learning, particularly ConvNets and generative models; (2) machine learning and multiscale physics, specifically in the fields of quantum chemistry, materials science, and turbulence; (3) geometric and graphical models for high dimensional data analysis, including spectral graph theory and geometric deep learning; (4) optimal data fitting via smooth functions, with efficient algorithms; (5) quantum computing. See https://matthewhirn.com/ for more information on the group’s research. The preferred start date is August 16, 2020.

3) Jose Perea [perea@msu.edu] (The Perea Group): The research group of Dr. Jose Perea works on problems at the intersection of algebra, topology, geometry and data science. The successful applicant will co-lead the development of novel methods for data analysis using tools from algebraic topology (e.g., fiber bundles, obstruction theory and spectral sequences), as well as their application to machine learning problems including non-linear dimensionality reduction, multimodal time series analysis and data fusion. Candidates are expected to hold a PhD in mathematics at time of appointment, have a strong background in algebraic topology and related areas, as well as coding proficiency in environments such as MATLAB and Python. Inquiries can be directed to Dr. Jose Perea (joperea@msu.edu), and more information can be found at https://www.joperea.com. Preferred start date no later than August 16, 2020, earlier if possible.

4) Elizabeth Munch and Dan Chitwood [muncheli@msu.edu;dhchitwood@gmail.com]: The labs of Dr. Elizabeth Munch (http://elizabethmunch.com/) and Dr. Dan Chitwood (https://dhchitwood.wixsite.com/morphologylab) in the Department of Computational Mathematics, Science & Engineering at Michigan State University invite applications for a Research Associate-Fixed Term (Postdoctoral Researcher). The successful candidate will have previous experience in applying Topological Data Analysis (TDA) to scientific questions and working productively with mathematicians and computer scientists, as well as domain scientists without mathematical training. A focus of the research the candidate will undertake will be using TDA to quantify 3D, voxel-based images collected using X-ray Computed Tomography. The research team the candidate will join focuses on applying TDA to models of plant morphology, but the candidate will also work broadly across disparate fields of science, and a collaborative, diplomatic, team-oriented personality is a prerequisite for this position. Enthusiasm for education and outreach is a must, as in addition to publishing results, the candidate will disseminate TDA methods, code, data, and resources they develop to the scientific community in a reproducible, open, and innovative way. Above all, the candidate will have a passion for applying TDA approaches in the sciences and working with scientists in a productive manner to arrive at a working theory of applied topology in the sciences. Preferred start date no later than Aug 16, 2020, earlier if possible.

5) Multiple postdoc positions are available in Dr. Jianrong Wang’s lab. Research in Dr. Wang’s lab is in the intersection of machine learning, statistical modeling, bioinformatics and computational biology, with a focus on building novel hierarchical Bayesian models and efficient learning algorithms to construct large-scale regulatory networks and to decode the genetic basis of human diseases, based on big-data from genomics. The candidates are expected to be highly self-motivated and have a strong passion for scientific research. Candidates should have (or expect to have soon) a PhD degree in related fields (bioinformatics, statistics, computer science, mathematics, etc.), have a solid background in machine learning and statistical modeling, and have strong programming skills in Python or R. Candidates with prior research experiences in computational biology, bioinformatics, functional genomics, gene regulation, NGS data processing are preferred. Detailed information of Dr. Wang and his research can be found: https://cmse.msu.edu/directory/faculty/jianrong-wang

These postdoc positions are annual year, benefits eligible positions, that are potentially renewable on an annual basis through summer 2023 contingent upon satisfactory performance and availability of funding. Candidates are required to have earned their Ph.D. in Mathematics, Statistics, Computer Science or a related field, by August 10, 2020.

Teaching requirements of postdocs in CMSE are arranged with the faculty mentor(s) and in accordance with the needs of the department, but are generally kept light (e.g., no teaching or one course per year).

Applicants should submit a cover letter, CV, statements on research and on teaching, and should arrange for at least 3 letters of recommendation to be submitted. In the cover letter, the subject line needs to list the name of the faculty member you are applying to work with. Review of applications will begin on December 16, 2019 and will continue until filled. A background check is required for employment.

Michigan State University has been advancing knowledge for more than 160 years. A member of the Association of American Universities, MSU is a research-intensive institution with 17 degree-granting colleges. MSU is an affirmative action, equal opportunity employer and is committed to achieving excellence through cultural diversity. The University actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities. Job applicants are considered for employment opportunities and employees are treated without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. The University actively encourages applications of women, persons of color, veterans, and persons with disabilities.

This employer is not accepting applications for this position through Mathjobs.Org. Please apply at https://careers.msu.edu/en-us/job/502648/research-associatefixed-term.
Contact: Andrew Christlieb
Postal Mail:
428 S Shaw Lane, Room 1501
East Lansing, MI 48824

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