Rutgers University
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Assistant Professor at Rutgers University, AI researcher in Coastal and Environmental Engineering
Company Description Rutgers, The State University of New Jersey, is one of America’s highest-ranked and most diverse public research universities. It is the oldest and largest public university in the New York/New Jersey metropolitan area, with main locations in three New Jersey cities. Renowned as an academic, health, and research powerhouse, Rutgers offers vast opportunities for students and researchers alike. Role Description Rutgers AI and Data Science Collaboratory has a competitive Postdoc position. Prof Dario Pompili and I are looking for a highly motivated candidate to join a team to work on a project of a cyber-physical coupling system to enable underwater robot swarms to search ocean plumes. If you are interested, please send us your resume as soon as possible through rq.wang@rutgers.edu, since the position will be quickly filled. The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint one or more 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 two years. 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. Qualifications PhD in Computer Science or related discipline Has a proven track record of excellence in artificial intelligence/machine learning and/or data science Strong interpersonal, verbal, and written communication skills Good documentation habits Experience working in interdisciplinary research teams Experience working with large and complex scientific datasets Self-motivation and independence A track record of productive research and peer-reviewed publications Seniority level
Internship Employment type
Full-time Industries
Higher Education
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Company Description Rutgers, The State University of New Jersey, is one of America’s highest-ranked and most diverse public research universities. It is the oldest and largest public university in the New York/New Jersey metropolitan area, with main locations in three New Jersey cities. Renowned as an academic, health, and research powerhouse, Rutgers offers vast opportunities for students and researchers alike. Role Description Rutgers AI and Data Science Collaboratory has a competitive Postdoc position. Prof Dario Pompili and I are looking for a highly motivated candidate to join a team to work on a project of a cyber-physical coupling system to enable underwater robot swarms to search ocean plumes. If you are interested, please send us your resume as soon as possible through rq.wang@rutgers.edu, since the position will be quickly filled. The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint one or more 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 two years. 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. Qualifications PhD in Computer Science or related discipline Has a proven track record of excellence in artificial intelligence/machine learning and/or data science Strong interpersonal, verbal, and written communication skills Good documentation habits Experience working in interdisciplinary research teams Experience working with large and complex scientific datasets Self-motivation and independence A track record of productive research and peer-reviewed publications Seniority level
Internship Employment type
Full-time Industries
Higher Education
#J-18808-Ljbffr