The Information, Networks, and Signal Processing Research (INSPIRE) Lab at Rutgers University—New Brunswick, NJ has an opening for a research scientist with a start date of November 1, 2019 and an end date of October 31, 2021. The selected candidate will work on an NSF-funded collaborative research project that seeks to develop novel signal processing and machine learning algorithms that can be used for rapid scientific discoveries using large-scale, noisy data streams. This project, which is part of a larger NSF effort entitled “Harnessing the Data Revolution” uses discovery of dark matter using experimental particle physics data as a test case and involves collaboration with Prof. Christopher Tunnell (Physicist; Rice U.) and Prof. Hagit Shatkay (Computer Scientist; U. of Delaware). Representative responsibilities for this position include working under the supervision of Prof. Waheed U. Bajwa (Director, INSPIRE Lab) to develop and analyze science-aware signal processing and machine learning algorithms needed for scientific discovery, implementing the developed algorithms, taking part in collaborative meetings with the Rice and Delaware teams, co-supervising graduate and undergraduate students, documenting the research activities, and writing research papers and reports.
Candidates interested in this position should submit the following along with their application: - Detailed curriculum vitae - A personal statement, which includes prior research experience, future research goals, and career objectives - Copies of two research papers that highlight the candidate’s expertise in at least two of the following areas: inverse problems, graph signal processing, numerical optimization, and machine learning - Contact information for at least three referees
Minimum Education and Experience:
Candidates applying for this position must have a PhD in electrical and/or computer engineering, computer science, applied mathematics, statistics, physics, or related disciplines.
Required Knowledge, Skills, and Abilities:
They should have demonstrated expertise in at least two of the following areas: inverse problems, graph signal processing, numerical optimization, and machine learning. Other skill sets required for this position include ability to code in Python, excellent oral and written communication skills, and a demonstrable ability to learn new ideas.
High-performance computing clusters
Posting Number: 19FA1989
Location: Busch (RU-New Brunswick)
Internal Number: 99861
About Rutgers University
Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers is dedicated to teaching that meets the highest standards of excellence; to conducting research that breaks new ground; and to turning knowledge into solutions for local, national, and global communities. As it was at our founding in 1766, the heart of our mission is preparing students to become productive members of society and good citizens of the world. Rutgers teaches across the full educational spectrum: preschool to precollege; undergraduate to graduate and postdoctoral; and continuing education for professional and personal advancement. Rutgers is New Jersey's land-grant institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives.