POSTDOCTORAL ASSOCIATE at New York University
Brooklyn, NY 11201, USA -
Full Time


Start Date

Immediate

Expiry Date

21 Jul, 25

Salary

67500.0

Posted On

21 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Power Systems, Software Development, Eligibility, Addition, Optimization, Machine Learning

Industry

Electrical/Electronic Manufacturing

Description

NEW YORK UNIVERSITY TANDON SCHOOL OF ENGINEERING

NYU Tandon School of Engineering is seeking to hire one or more Postdoctoral Associates to work in the area of machine learning and data analytics for smart grids in Prof. Yuzhang Lin’s research group at NYU Tandon School of Engineering.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. Prof. Yuzhang Lin’s research group in the Department of Electrical and Computer Engineering conducts cutting-edge research in modeling, situation awareness, and cyber-physical resilience of smart power grids with machine learning applications.

QUALIFICATIONS

Candidates should have a PhD in Electrical Engineering or a related field by the start date of the position. We welcome applicants with recent PhDs and individuals seeking additional postdoctoral training. Candidates will be required to present eligibility to work in the United States.

Responsibilities
  • Conducting advanced research in machine learning and data analytics for power system operation and planning;
  • Support externally funded projects by developing algorithms and software, performing validation and demonstration using real-world datasets, and delivering project milestones and deliverables;
  • Publish research outcomes in top-tier journals and conferences, prepare project reports and presentations, and assist in grant proposal development;
  • Supervise and mentor graduate students in their research activities
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