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Job ID: 263957

Ph.D. Student – Wildfire Science and Technology Lab
University of Nevada, Reno

The newly established Wildfire Research and Technology Lab at University of Nevada, Reno (www.wildfirehub.org) invites applicants for multiple cross-disciplinary Ph.D. positions to conduct research in technological and scientific aspects of Wildfire Engineering across the Pre-Fire, Active-Fire, and Post-Fire domains. Our goal is to develop new capabilities to effectively prepare for, respond to, and recover from wildfires. We seek dynamic individuals who are curious and interested in various aspects of this problem, willing to work within a multidisciplinary team in a fast-paced research and development environment, learn new skills, interact with end-users, and produce high-quality research products. The positions are part of a cluster hire in support of the new Lab. The candidates will interact with other research

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RSS Feed Source: Academic Keys

Applications are invited for a Lecturer (full-time teaching faculty) in the Biomedical Engineering (BME) Department at the University of Michigan. The successful candidate will be part of a dedicated teaching team focused on experiential learning, engineering design, and professional development of biomedical engineers.

The BME Department at the University of Michigan in Ann Arbor (bme.umich.edu) is a joint department between the College of Engineering and the Medical School. It harnesses intellectual and physical resources from across campus to create a world-class learning environment. Applications from individuals in all areas of biomedical engineering and related disciplines will be considered. We are particularly interested in candidates with experience in one or more of the following areas:

Biomechanics – We are seeking candidates with experience in this field who are interested in building course content, modernizing lab modules, or creating new courses that help to solidify

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RSS Feed Source: Academic Keys

The Department of Civil and Environmental Engineering (CEE) at the University of Houston invites applicationsfor a full- time, tenure-track faculty position in the broad area of Artificial Intelligence and Quantum Information Science. All qualified candidates are invited to apply at the Assistant or Associate Professor rank, with encouragement for those with multidisciplinary interests.

Qualifications:
The applicant must have an earned Ph.D. in civil/environmental/aerospace/mechanical/electrical engineering or a related field in computer science with expertise in the broad area of artificial intelligence and quantum science. We are particularly interested in candidates who harness these techniques to answer scientific questions related to current US research priorities including the application of AI to cybersecurity, autonomy and robotics, data analysis, and the study of quantum sensing, communications and computing. The successful candidate will have opportunities to collaborate with the current CEE faculty cluster (C. Glennie, V. Hoskere, K. Nakshatrala and

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