44 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Northeastern University in United States
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of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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(broadly defined), molecular dynamics simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and
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research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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Physical Biology Lab and/or to pursue individual projects in each lab. The Project Environmental issues are currently among the most pressing facing humankind. As such, understanding how students learn about
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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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