66 condition-monitoring-machine-learning Postdoctoral positions at Northeastern University
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growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences
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, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00 With the pay range(s) shown above, the starting
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qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any
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, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00 With the pay range(s) shown above, the starting
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any
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consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade
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responsibilities, but there is an opportunity to teach if desired. The preferred starting date is September 1, 2025. Position Type Research Additional Information Northeastern University considers factors such as
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internally funded grant development and application activities connected to machine-learning-driven approaches to low-cost, low-carbon structural design. Additional Information The College of Arts, Media and
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics