2027 PhD Graduate - Health Systems Engineer / Analyst

Description Do you have experience in systems engineering, modeling and simulation, human-machine teaming, test and evaluation, or related analytical disciplines with a desire to solve some of the hardest problems facing our Nation? Are you enthusiastic about tackling current and emerging challenges to provide real-world impact and drive the future? If you are graduating with a PhD in engineering (e.g., systems, biomedical, industrial, mechanical, human systems), computer science, mathematics, or computational social science, and on integrating systems, humans, and operations to achieve mission outcomes, we would love to have you join our team! The Health and Human-Machine Systems Group is seeking talented individuals to help us design and operationalize advanced and autonomous solutions to revolutionize complex, socio-technical systems for the Nation. We leverage skills across engineering disciplines, computer science, data science and advanced analytics to make critical contributions to critical challenges in collaboration with government, academia, and industry. You will be joining a hardworking team of engineers and researchers responsible for developing innovative solutions and integrating cutting-edge technologies, data-driven processes, artificial intelligence (AI) and machine learning (ML) principles and cognitive and behavioral sciences. You will partner with creative thinkers, motivated problem solvers, and life-long learners in support of our country and our warfighters. As a member of our team... You will work as part of a multi-disciplinary, high-performing team to investigate, evaluate, analyze, and prototype technologies and operational solutions. This may include the development of system concepts and technologies to mature autonomous/intelligent health and human-machine partnerships. You will collaborate with operational stakeholders to understand and document their needs, and translate them into well-defined requirementsto facilitate analysis, modeling and simulation (M&S), and/or system design. You will support design and peer reviews to gather feedback on analytical approaches, techniques, system design, integration, and testing methodologies. This may lead to revising, documenting, and presenting work products based on these reviews and in accordance with APL's high quality standards. You may help conduct quantitativesocial science research through observational and experimental studies. This may include technical multi-factor modeling, social media analysis, time series analysis, and natural language processing. You will help to define new and innovative ways to address operational challenges, while establishing cross-organizational relationships to increase collaboration. Qualifications You meet our minimum qualifications for the job if you... Possess a PhD in engineering, computer science, mathematics, or computational social science, and can demonstrate the application of your expertise to human-machine teaming or socio-technical challenges. Are able to manage multiple simultaneous assignments and priorities. Have excellent interpersonal, written, and verbal communication skills, and have demonstrated success while working within a team environment. Are able to travel occasionally to attend meetings with our government sponsors and operational stakeholders. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret 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 demonstrable experience with data analysis and/or M&S tools such as Python, Matlab, Advanced Excel (VBA), R, Simio, or MagicDraw. Are experienced with Model-Based Systems Engineering (MBSE) and systems modeling concepts (block and context diagrams, requirements management, activity and process diagrams, etc.). Have demonstrated an ability to research and quickly identify industry design trends and best user interface (UI) practices to achieve a positive user experience. Have a demonstrated interest in human-machine teaming challenges. Have experience understanding and interpreting physiological data. Expericed in assessing and measuring human performance and novel applications of AI/ML capabilities to improve human-machine teaming and autonomous systems interfaces. 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 The Johns Hopkins University Applied Physics Laboratory