197 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at Harvard University in United States
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community of scientists. Filed under: Postdoc Opportunities See also: Research Expenses Salary Non-U.S. Citizen U.S. Citizen/ Permanent Resident Science and Engineering Harvard Admin login Copyright © 2026
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. received within five years of the application deadline. Deadline Month: February Description: Offers scientists and engineers from a wide variety of disciplines unique opportunities to conduct research in a
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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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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Electrical Engineering or any field with relevant skillsets will be considered. Currently, expertise in digital signal processing, nonlinear optics, local probe microscopy (STM), statistical physics and on
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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Initiative in Science and Engineering (HQI) seeks postdoctoral fellows for the academic year 2026-2027. The HQI is an interdisciplinary initiative that pairs basic science with quantum engineering, taking
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Details Title Postdoc Fellow in Advanced AI for Energy/Power Grids School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Electrical Engineering / Applied
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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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The Postdoctoral Fellow will: Collaborate with the PI and interdisciplinary team on conceptual development, data construction, analysis, and writing. Contribute to the design and implementation of quantitative text