30 neuroimaging-machine-learning-engineer Postdoctoral positions at Harvard University
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Jul-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Engineering Internal Number: 15017 School
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Details Title Postdoctoral Scholar in Materials Science & Mechanical Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Materials Science
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Details Title Postdoctoral position in AI for Engineering Applications School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong
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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous
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deep expertise in modern machine learning and a strong record of research accomplishment who are excited to advance foundation models, agentic systems, and new AI approaches for high-impact scientific
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modern machine learning and a strong record of research accomplishment who are excited to build brain foundation models and other AI systems that advance our understanding of neural activity, brain
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data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply. Candidates with strong expertise in machine learning, quantum
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projects, acquire and analyze experimental data, supervise and mentor undergraduate students, prepare and submit peer-reviewed journal articles, and present their work at professional conferences. They will