Postdoctoral positions are available at the University of Wisconsin-Madison. The candidates will work with professor Moo K. Chung (www.stat.wisc.edu/~mchung) on developing new innovative computational methods in modeling large-scale brain networks obtained from MRI and EEG. Candidates should be familiar with one of areas: network science, functional data analysis, spatial statistics, topological data analysis, dynamical systems, time series analysis, graph theory, machine learning, partial differential equations (computational).
Candidates should have received or expected to receive PhD degree or equivalent in mathematics, physics, CS, EE, statistics, biomedical engineering, psychology, neuroscience or related areas. Previous imaging research experience is a plus but not necessary but programming skill is a must.
Interested candidates should email CV (with the name of references) and representative papers to email@example.com. There is no deadline for the positions and we are hiring year round. However you should apply for the position immediately for chance.
The following are two recent publications from our group: Topological learning on networks (Annals of Applied Statistics: arXiv: 2012.00675), Hodge Laplacian for higher order network connectivity (IEEE Transactions on Medical Imaging: arXiv:2110.14599).