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Job Record #19407
TitleFunded Ph.D. positions on Scientific AI
CategoryPhD Studentship
EmployerRensselaer Polytechnic Insititute
LocationUnited States, New York, Troy
InternationalYes, international applications are welcome
Closure DateFriday, March 14, 2025
Description:
Ph.D. Positions in Scientific Machine Learning and AI for Physical Systems About Rensselaer Polytechnic Institute (RPI) and Dr. Shaowu Pan: # Introduction Dr. Shaowu Pan is a tenure-track Assistant Professor in the Department of Mechanical, Aerospace, and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). Founded in 1824, RPI is one of the oldest technological universities in the English-speaking world. Located in Troy, New York, RPI offers a low cost of living with convenient access to major cities like New York City (approximately 267 km away) and Boston (approximately 275 km away). The city provides an ideal balance between academic focus and vibrant city life. # RPI Rankings: #55 in Best National Universities (U.S. News & World Report) #43 in Best Engineering Schools #20 in Undergraduate Aerospace Engineering #22 in Graduate Aerospace Engineering For more information about Dr. Pan, please visit his personal website. # Research Areas: - Scientific Machine Learning - AI for Science (especially Partial Differential Equations) - Generative AI and Scientific Foundation Models for Physical Systems # Position Details: Dr. Pan is seeking two fully-funded Ph.D. students to join his research group. Candidates with a Master's degree are preferred, but exceptional candidates with a Bachelor's degree will also be considered. All majors are welcome to apply. # Key Qualifications: Strong interest in AI for physical problems, applied mathematics, fluid mechanics, control systems, and programming Proficiency in programming languages such as Python or C++ Experience or interest in high-performance computing and numerical methods Excellent problem-solving skills and a passion for research Laboratory Resources: - Exclusive access to state-of-the-art GPU computing resources valued at over $100,000 - Access to NSF-ACCESS cloud supercomputing resources - Utilization of the DOE Perlmutter supercomputer with hundreds of A100 GPUs - Access to RPI's AiMOS supercomputing cluster, one of the most advanced computing platforms among private universities worldwide (currently ranked #62 globally) # How to Apply? Interested candidates should send a self-introduction and resume/CV in a single PDF file to Dr. Shaowu Pan at pans2@rpi.edu. Please use the subject line "Ph.D. Application" to ensure your application is reviewed promptly. Note: Due to a high volume of applications, adherence to the specified subject line is essential. Applications not following this format may not be considered.
Contact Information:
Please mention the CFD Jobs Database, record #19407 when responding to this ad.
NameShaowu Pan
Emailpans2@rpi.edu
Email ApplicationYes
Phone7342761815
URLhttp://www.shaowupan.com
Record Data:
Last Modified17:20:08, Thursday, October 10, 2024

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