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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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findings in peer-reviewed publications; Ability to work collaboratively across clinical and engineering teams. Normally acquired through a PhD in rehabilitation science, neuroscience, biomedical engineering
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-generation communication infrastructures. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start date
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energy-innovation technologies. Applying catalysis and reaction-engineering approaches, the role targets low-carbon fuel pathways—such as hydrogen, ammonia, synthetic and electro-fuels, sustainable
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dioxide to ethanol. Supported by an externally funded grant, this role offers a unique opportunity to contribute to the development of transformative technologies. The successful candidate will take primary
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performance. Minimum Qualifications Required PhD or equivalent in computer science, computational biology, biomedical engineering, or a related field by the appointment start date Expertise and a demonstrated
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charged tissues. What You Will Do Lead multiple projects across federal and industry-funded programs Design and engineer gene delivery systems using chemical conjugation and molecular engineering
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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technologies. The successful candidate will take primary responsibility for designing, planning, and executing experiments that drive the project's scientific and technological progress, with a strong emphasis
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Electrical and Computer Engineering, Mathematics, Computer Science, or equivalent. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience