Position Details
Position Information
Recruitment/Posting Title |
Post Doctoral Associate |
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:
- 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 |
Position Status |
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Posting Number |
19FA1989 |
Posting Open Date |
08/14/2019 |
Posting Close Date |
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Qualifications
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. |
Certifications/Licenses |
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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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Overview |
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Statement |
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Posting Details
Special Instructions to Applicants |
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Quick Link to Posting |
https://jobs.rutgers.edu/postings/99861 |
Campus |
Rutgers University-New Brunswick |
Home Location Campus |
Busch (RU-New Brunswick) |
City |
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State |
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Location Details |
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Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.
Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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