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RT
Rutgers, The State University of New Jersey
PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$109,134 / year median in New Jersey
+20% projected growth
Job Description
Salary Details 69,293 Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated postdoctoral researchers with expertise in artificial intelligence/machine learning and data science. Applicants must have completed their Ph. D. studies within the past year. Prior to submitting an application, they must identify an existing RAD Collaboratory faculty member as their postdoctoral mentor and provide the Mentor's Letter of Nomination (on Rutgers Letterhead) with their application materials. Successful candidates will work under the supervision of the Nominating Mentor and contribute to interdisciplinary research projects focused on important problems in science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML, environmental sciences, business applications, chemistry, and physics. The RAD Collaboratory offers a rich environment for collaboration with ample access to computational resources.