Decision Science Researcher

📁
Artificial Intelligence/Machine Learning/Data Science
💼
AOS - Asymmetric Operations Sector

Do you want to create the greatest-possible impact on securing critical infrastructure?

Are you interested in leading research into decision making under uncertainty?

Do you love to push the bounds of reinforcement learning (RL) and decision processes?

If so, we are looking for someone like you to join our team at APL.

We are seeking a self-driven decision science researcher to develop cutting-edge techniques to automate courses of action and ensure continued operation of cyber-physical systems (CPS) in the presence of adversaries. You will contribute to the implementation of software systems that incorporate AI and heuristic search algorithms to automate decision making. The ideal candidate will be passionate about making ML work in realistic domains and have a keen interest in producing new technology to automate the recovery of CPS. The position represents a rare opportunity to be a part of a fast-growing team soon after launch, and help shape the technology and research as we grow. You will be playing a crucial role in developing the next generation of cyber orchestration technology, and get the opportunity to enable resilient CPS.

As a Decision Science Researcher …

  • Your primary responsibilities will be to conduct research to advance the science and technology of decision making under uncertainty by applying RL to real domains in order to deliver Cyber-AI solutions in a range of technology areas.
  • You will help to define the science direction for the team by innovating at the intersection of cyber and ML/AI domains, working towards long-term ambitious research goals, and identifying intermediate milestones.
  • You will work closely with researchers to test, deploy, maintain, and enhance software integrated with cyber-physical testbeds and develop demonstrations.
  • You will develop and present proposals, briefings, and reports to technical specialists, collaborators, and sponsors in order to influence important decisions.
  • You will write research papers and participate in technical conferences.

 

You meet our minimum qualifications for the job if you…

  • Possess a B.S./M.S. degree in machine learning, AI, computer science, applied mathematics, data science, statistics, or related technical fields with at least 2+ years of applicable experience.
  • Have experience developing models and simulations to support decision making under uncertainty and designing debugging, and validating ML algorithms.
  • Have in depth familiarity with the literature and are skilled in prototype implementations based on research publications.
  • Are proficient in software engineering and programming in Python and MATLAB.
  • Possess clear and concise written and verbal communication as well as excellent interpersonal skills to articulate to both technical and non-technical audiences.
  • Have outstanding technical leadership skills to conduct new research.
  • Are able to obtain 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...

  • Possess a PhD in reinforcement learning or equivalent in education and experience.
  • Have multiple published first-author papers at top-tier AI conferences/journals.
  • Have demonstrated evidence of leading scientists and junior team members.
  • Have hands-on experience with deep learning tools, e.g., TensorFlow or PyTorch.
  • Have experience in developing and debugging with Java, C/C++, C#, or Julia.
  • Have previous experience with writing government or corporate grant proposals.
  • Have cybersecurity or cyber-centric AI/ML experience.
  • Hold an Active Secret or above security clearance.

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. With a wide selection of challenging, impactful work and a robust education assistance program, APL promotes a culture of life-long learning. Our employees enjoy generous benefits and healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at www.jhuapl.edu/careers.

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