Internship: Physics-informed scientific machine learning
Cambridge, Massachusetts, United States
Applications have closed
Mitsubishi Electric Research Labs
Mitsubishi Electric Research Laboratories (MERL) is the North American arm of the Corporate R&D organization of Mitsubishi Electric Corporation.The Data Analytics Group at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2023. The ideal candidate will be a Ph.D. student specializing in engineering, applied mathematics, computer science or similar fields with solid background in scientific machine learning, deep learning, and non-convex optimization. Research exposure to one of the following is very desirable but not necessary: PDE-constrained optimization, Koopman theory, dynamical systems, operator learning (DeepONet, FNO, etc.), and Physics-informed Neural Nets (PINNs). Ideal candidate is familiar with PyTorch, TensorFlow, or Jax. Publication of results obtained during the internship is expected. The starting date is flexible and the internship will last about 12 weeks.
Research Areas: Computational Sensing, Dynamical Systems, Machine Learning
Contact: Saleh Nabi
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Tags: Computer Science Data Analytics Deep Learning Engineering Machine Learning Mathematics Physics PyTorch Research TensorFlow
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