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This research involves conducting fundamental and applied research in the field of Robotics and Autonomous Systems (RAS) and Artificial Intelligence/Machine Learning (AI/ML). The fellowship position is based
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candidate will have received a PhD in Biology (General), Cellular and Molecular Biology, Infectious Diseases and Zoonoses, Microbiology, Public Health, Virology, or similar field within the past five years
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. Qualifications The qualified candidate will have completed a PhD from an accredited institution in bioengineering, biomedical engineering, immunology, cell / molecular biology, physiology, or a related field
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one another; and delivering world-class science, technology and land management. Research Project: The fellow will contribute their PhD-level social science research skills to understand how project
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program and complete the degree prior to the appointment start date. The ideal candidate would have some, but not necessarily all, of the following: PhD. in Materials Science, Chemical Engineering
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(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired
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. Qualifications The qualified candidate should hold or be currently pursuing a master's degree or PhD in Mechanical Engineering, Biomedical Engineering, or a related discipline. Postgraduates must have earned
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. Application deadlines vary by opportunity. PhD candidates interested in a collaborative thesis project may be eligible for DOE's Office of Science Graduate Student Research Program . Duration: Appointment
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-HRED-1910230637 Description About the Research The use of robotic assets in the field instead of soldiers is one approach
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into Soldier teams and move from tools to teammates. Critical to this is an understanding of how humans and human teams perform and change in dynamic environments and situations. HRED leverages human-robot