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| Recruitment/Posting Title | Post Doctoral Associate |
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| Department | Engn - Elec & Computer Engn |
| Salary | Commensurate With Experience |
| Posting Summary | 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: |
| Position Status | |
| Posting Number | 19FA1989 |
| Posting Open Date | 08/14/2019 |
| Posting Close Date |
| 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. |
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| Certifications/Licenses | |
| 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. |
| Equipment Utilized | High-performance computing clusters |
| Physical Demands and Work Environment | |
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| Campus | Rutgers University-New Brunswick |
| Home Location Campus | Busch (RU-New Brunswick) |
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