Prof. Namrata Vaswani of Iowa State University is looking for Ph.D. students, and or postdocs, to work on interesting Statistical Machine Learning problems motivated by real applications (often in computer vision or imaging). If interested, please email her at namrata AT iastate DOT edu (along with your recent transcripts and CV/resume).
She would like to recruit Electrical and Computer Engineering, Mathematics, Statistics, or Computer Science Bachelors' or Masters' degree holders with a strong (undergraduate level) background in Linear Algebra and Probability . Ability to program in MATLAB or Python would be nice. Students choosing to work with her can pick either ECE or Mathematics as their home department. Other options can also be figured out.
This tutorial paper provides a sample of the type of Mathematics used in her recent work: https://arxiv.org/pdf/1011.3027.pdf . Also, two good sample papers/preprints describing Namrata recent work are
- Nearly Optimal Robust Subspace Tracking from ICML 2018: https://arxiv.org/abs/1712.06061 and
- Phaseless Low-Rank Matrix Recovery: https://arxiv.org/abs/1902.04972
About Namrata Vaswani's work: In recent work, her group has worked on various dynamic high-dimensional structured data recovery problems such as dynamic Compressive Sensing, dynamic Robust PCA, and Phaseless PCA (low-rank phase retrieval) along with applications in computer vision and imaging. The last is new and ongoing work. Her former Ph.D. students have gone to join Google, AT&T, Capital One, Adobe, and Bosch Research, among other places.
More about Namrata: http://www.ece.iastate.edu/~namrata/