2027 PhD Graduate -Robotics Researcher

Description Are you passionate about pursuing groundbreaking research and engineering to solve today’s greatest challenges in robotics? Do you enjoy working on meaningful interdisciplinary problems? Do you thrive in a collaborative and creative environment? If so, we're looking for someone like you to join our team at APL. If you are graduating with a Ph.D. degree inComputer Science, Engineering, or Mathematics, we'd love to have you join our team!The Robotics Group in the Research and Exploratory Development Department is an interdisciplinary team of researchers and engineers that is inventing the future across the broad spectrum of robotics, with applications that strengthen national defense, advance space exploration, improve healthcare, and address critical challenges facing the nation.You can learn more about our current research at We are seeking a highly skilled, highly motivated scientists and engineers to join us in taking intelligent robotic systems from concept to reality. We are a multidisciplinary team focused on groundbreaking impacts in the areas of robotics control, embodied agentic AI, multi-agent collaboration, robotic perception, human-robot teaming, and novel robot design. Our team is committed to excellence in research that has real-world impact. Successful members of our team tend to be creative problem solvers who are comfortable working at the edge of their comfort zone. We strive to foster an environment that welcomes a variety of backgrounds and professional experience as we aim to solve the hardest problems in robotics. As a member of our team, your primary responsibility will be defining and developing novel robotic concepts, systems, and algorithmic solutions to address relevant challenges. Current research areas include generative AI for robotic applications, advanced robotic control, robot perception & reasoning, novel robotic systems, human-robot teaming, multi-agent coordination, and safe/assured autonomy. Depending on your expertise, you will develop and implement control algorithms and AI techniques; invent new approaches to robot control, reasoning, and perception; design and fabricate robotic systems; and lead research teams. You will have the opportunity to publish your work and present the results to the scientific community, external collaborators, and/or government sponsors. You will also have the opportunity to propose and work on your own research ideas. Qualifications You meet our minimum qualifications for the job if you... Have a Ph.D. in a relevant field such as Robotics, Computer Science, Engineering, Mathematics, or a related field. Have experience in robotics or robotics applications of AI, computer science, mechanical engineering, electrical engineering, or mathematics. Are able to obtain a DoD Secret-level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... Have experience developing, simulating, and demonstrating algorithms for control of robotic systems. Have experience developing AI/ML software that integrates with hardware such as robotic platforms, sensors, or mechanical devices. Have experience designing, fabricating, and integrating robotics hardware. Are skilled in one or more programming languages and robotics frameworks, particularly ROS2, Python and C++. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact View email address on click.appcast.io. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $105,000 Annually Maximum Rate $245,000 Annually #J-18808-Ljbffr Johns Hopkins Applied Physics Lab