Working independently, with general guidance only.PhD hires are considered senior staff and experts in their field. Social network analysis, system vulnerability assessments, and/or cyber mission managementĭepending on your role, expectations and additional responsibilities for hires at this level may include.Leading research and analysis that supports capabilities development.Designing, developing, and fielding capabilities in support of cyber operations missions.Our research areas also include offensive platform development, multi-domain targeting, mission and attribution management, and synthetic media.ĭepending on your role and areas of expertise, this may includeĪs a member of our team, your primary responsibilities will be contributing technical expertise to projects related to cyber operations. We do this by focusing on two things: cyber weapon systems engineering and cyber-enabled influence. military to execute cyber missions at scale in support of joint operations. Our primary focus is on developing the platforms that will enable the U.S. Our team values collaboration, transparency, and helping staff achieve their professional goals. We strive to foster an inclusive and encouraging environment where staff can perform their best work. Our team is committed to continued learning and servant leadership. We are passionate about providing impactful solutions for our sponsors. QCR team members apply their skills to develop and operationalize automated, scalable, and resilient platforms for offensive cyber operations and cyber-enabled influence. If these questions resonate with you, you may be a great fit for the Cyber Warfare Systems Group (QCR)! "To be able to do this independently and still be able to interact with family is a game-changer.We are seeking innovative experts to help us tackle the complex research, engineering, and analytical problems that present critical challenges to our nation.ĭo you want to apply your skills and expertise to critical challenges in the field of cyber operations?Īre you intellectually curious, seeking to understand and find loopholes in systems?Īre you passionate about cybersecurity, public service, and national security?Īre you looking for a position that will help you take your research ideas from concept to impact? "A lot of people take that for granted," he said. Disabilities like his take away a person's independence, he said, particularly their ability to eat by themselves. In an interview just before Thanksgiving-the traditional launch of a food-heavy holiday season-Buz reflected on the significance of this research for individuals with limited mobility. "The idea is that he'd experience this the same way that uninjured people can 'feel' how they're tying their shoelaces, for example, without having to look at what they're doing," Tenore said. Tenore, an APL neuroscientist and principal investigator for the Smart Prosthetics study, said the next steps for this effort include not only expanding the number and types of activities of daily living that Buz can demonstrate with this form of human-machine collaboration, but also providing him with additional sensory feedback as he completes tasks so that he won't have to rely on vision to know if he's succeeding. "By combining brain-computer interface signals with robotics and artificial intelligence, we allow the human to focus on the parts of the task that matter most." "Our ultimate goal is to make activities such as eating easy to accomplish, having the robot do one part of the work and leaving the user, in this case Buz, in charge of the details: which food to eat, where to cut, how big the cut piece should be," explained Handelman, an APL senior roboticist specializing in human-machine teaming. In the instance of Chmielewski serving himself dessert, the system enabled him to control the movements necessary to cut food with a fork and knife and feed himself. They set out to develop a closed-loop system that merges artificial intelligence, robotics, and a brain-machine interface. That team included Francesco Tenore, David Handelman, Andrew Badger, Matthew Fifer, and Luke Osborn from APL, as well as Tessy Thomas, Robert Nickl, Nathan Crone, Gabriela Cantarero, and Pablo Celnik from the School of Medicine. Using an internal research grant from APL, the team launched a parallel line of inquiry-termed "Smart Prosthetics"-to develop strategies for providing advanced robot control and sensory feedback from both hands at the same time using neural stimulation. Researchers were impressed with his progress during the first year of testing and wanted to further push the bounds of what could be accomplished.
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