Postdoc Positions in CMSE
The Department of Computational Mathematics, Science and Engineering (CMSE) invites applications from outstanding candidates for (Postdoctoral) Research Associate-Fixed Term positions in the broad areas of Computational Modeling and Data Science.
The search is ongoing and depends on availability of funds. The following is a list of Faculty and Groups that currently have funding available:
Postdocs in Scientific Computing
Multiple Bioinformatics and Computational Biology Postdoctoral Researcher positions are available in the lab of Dr. Jianrong Wang (wangj164@msu.edu). 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 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 Postdoctoral Researcher will develop new statistical and computational methods and implement on big datasets for biological insights. Detailed information of Dr. Wang and his research can be found: https://cmse.msu.edu/directory/faculty/jianrong-wang.
Candidates should have (or expect to have soon) a PhD degree in related fields (bioinformatics, statistics, computer science or mathematics), have solid background in machine learning and statistical modeling, and have strong programming skills in Python or R. Candidates with research experiences in computational biology, bioinformatics, functional genomics, gene regulation, NGS data processing are preferred. In addition to the below application materials requested, please also provide two publications (as first author or co-first author) from prior research. Applicants must have a Ph.D from a STEM discipline with a focus on the science of algorithms, either Computational Modeling or Data Science. The Ph.D must be completed at the time of employment.
The Murillo group is developing new computational methods for modeling non-ideal plasmas using both high-performance computing and machine learning techniques. Research will be carried out in the areas of magnetized ultracold plasmas, transport in non-ideal plasmas and implementation of new HPC methods in our MD code Sarkas. The successful applicant will work with Professor Murillo and other members of his group, and will have a strong background or interest in plasma physics, quantum mechanics, statistical mechanics, numerical methods, scientific computing, machine learning and multiscale modeling. https://murillogroupmsu.com/
DATA SCIENCE RESEARCH FOCUSED POSTDOC
Prof. Ravishankar leads the Signals, Learning, and Imaging (SLIM) lab at Michigan State University. His research interests lie in signal and image processing, computational imaging, machine learning, large-scale optimization, theory, and applications. The postdoc will work on numerous challenges at the intersection of machine learning, computational imaging particularly tomographic imaging, and theory. Potential topics include learning-based algorithms and theory for extremely limited-view tomographic reconstructions, physics-informed machine learning and network architectures, etc. The research will include developing and analyzing new mathematical and learning-based models and optimization algorithms and solving related fundamental theoretical questions. The postdoc will work closely with Prof. Sai Ravishankar and the Signals, Learning, and Imaging (SLIM) group as well as with collaborators in the Theoretical Division at Los Alamos National Laboratory.