I am looking for a postdoc and/or a graduate student to start in my group soon (Fall 2015, Spring 2016 or Fall 2016).

Postdoc: Candidates with a Ph.D. in Electrical Engineering (EE), Mathematics /Applied Mathematics or Mathematical Statistics and with background related to the topics mentioned below are encouraged to apply.

Graduate Student: Students with an undergraduate or a Masters degree in Electrical Engineering (EE) or Mathematics /Applied Mathematics and with a strong background in linear algebra and probability (undergrad level probability taught in an EE or Math program is enough) are encouraged to apply.

Research in my Group: My research lies at the intersection of signal/information processing and machine learning for high dimensional problems. In recent years, my group has worked on developing and analyzing online algorithms for various high-dimensional structured data recovery problems such as online sparse matrix recovery (recursive recovery of sparse vector sequences) or dynamic compressed sensing, online robust principal components' analysis (PCA) and online matrix completion, sparse PCA etc. Some ongoing work also involves proof of concept applications in video analytics and bioimaging. For more details, see my website (the two talks posted on this page will provide a good overview).

If you are interested and possess the above skills, please email me at [email protected] with the subject line `Postdoc application` or `PhD application` respectively. Please attach a copy of your resume, either a transcript (scanned or unofficial is fine) or a link to your webpage and a copy of your paper/thesis in case of postdoc app.

 Info is also online .