PhD Researcher in Health and Human-Machine Systems

1 week ago


London, Kentucky, United States Johns Hopkins Applied Physics Laboratory Full time
Job Description

We are seeking a highly skilled PhD graduate in engineering, computer science, mathematics, or computational social science to join our Health and Human-Machine Systems Group. As a member of our team, you will work on designing and operationalizing advanced and autonomous solutions to revolutionize healthcare and socio-technical systems.

Key Responsibilities
  • Investigate, evaluate, analyze, and prototype technologies and operational solutions for healthcare and human-machine systems.
  • Collaborate with operational stakeholders to understand and document their needs, and translate them into well-defined requirements.
  • Support design and peer reviews to gather feedback on analytical approaches, techniques, system design, integration, and testing methodologies.
  • Conduct quantitative social science research through observational and experimental studies, including technical multi-factor modeling, social media analysis, time series analysis, and natural language processing.
  • Define new and innovative ways to address operational challenges, while establishing cross-organizational relationships to increase collaboration.
Qualifications
  • Possess a PhD in engineering, computer science, mathematics, or computational social science, and demonstrate expertise in healthcare or socio-technical challenges.
  • Manage multiple simultaneous assignments and priorities.
  • Have excellent interpersonal, written, and verbal communication skills, and have demonstrated success while working within a team environment.
  • Be able to travel occasionally to attend meetings with our government sponsors and operational stakeholders.
  • Be able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance.
Preferred Qualifications
  • Demonstrable experience with data analysis and/or modeling and simulation tools such as Python, Matlab, Advanced Excel (VBA), R, Simio, or MagicDraw.
  • Experience with Model-Based Systems Engineering (MBSE) and systems modeling concepts.
  • Demonstrated ability to research and quickly identify industry design trends and best user interface (UI) practices to achieve a positive user experience.
  • Demonstrated interest in human-machine teaming challenges and applications of AI/ML capabilities to improve autonomous systems.
  • Experience in a hospital or healthcare environment.

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 Johns Hopkins Applied Physics Laboratory, we celebrate our differences 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. Learn more about our career opportunities and why you should join our team.



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