Johns Hopkins Applied Physics Lab

2026 PhD Graduate - Algorithm Researcher - Artificial Intelligence, Machine Learning, and Information Fusion

Johns Hopkins Applied Physics Lab$105K — $245K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or related field
  • 2+ years of experience in machine learning and data science fields, or strong interest in advanced mathematical concepts
  • Fluency in Python or MATLAB with capacity to translate mathematical concepts into efficient code
  • Excellent time management and communication skills
  • Ability to obtain Secret level security clearance, U.S. citizenship required.

Responsibilities

  • Research, implement, prototype, and analyze algorithms for performance capabilities.
  • Interact with large data sets for algorithm training, data cleaning, and normalization.
  • Prepare and present technical evaluations of algorithms to decision makers and technical peers.
  • Discuss technical solutions with external sponsors and influence decisions.
  • Serve as a subject matter expert in information fusion or Artificial Intelligence.

Benefits

  • Robust education assistance program
  • Unparalleled retirement contributions
  • Healthy work/life balance
  • Vibrant, inclusive workplace culture
  • Opportunities for professional growth and team collaboration
Full Job Description
Description

Do you have experience developing AI/ML algorithms OR a graduate-level research background in data fusion and/or distributed control?

Do you thrive in a research environment, working alongside an energetic team of scientists and engineers?

Are you ready to help the US secure and maintain leadership in the development and fielding of algorithms for defense systems?

If you are graduating with a PhD degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related field, we are looking for someone like you to join our team at APL!

We are seeking a highly motivated researcher who will contribute to all phases of the development process. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.

Duties

As a member of the Information Fusion and Artificial Intelligence group you will ...
  • Research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
  • Interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
  • Prepare and present technical evaluations of algorithms to a broad audience that includes both decision makers as well as technical peers.
  • Interact with external sponsors to discuss technical solutions and influence decision-makers.
  • Serve as an internally recognized subject matter expert in one or more technical areas related to information fusion OR Artificial Intelligence.

Qualifications

You meet our minimum qualifications for the job if you...
  • Have a PhD in Computer Science, Engineering, Mathematics, Statistics, Physics or related field
  • Have 2+ years of experience in the machine learning and data science fields; OR completed and have a strong interest in linear algebra, calculus, stochastic processes, detection and estimation theory, information theory, or related coursework
  • Are fluent in Python or MATLAB, with the ability to translate mathematical concepts into well-documented and efficient code
  • Have excellent time management skills and can effectively communicate ideas and results
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level 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 4+ years of experience in designing and implementing algorithms involving one or more of the following: classification, clustering, deep learning, decision making, AI explainability, stochastic processes, detection and estimation theory, information theory, Bayesian inference of time varying systems, tracking and data fusion (e.g., KF, MHT, IMM, etc.)
  • Have demonstrated experience in working with version control software like Git
  • Have experience developing AI/ML research prototypes in code, using one or more of scikit-learn, Tensorflow, PyTorch, or similar machine learning frameworks in Python.
  • Have experience using high-performance computing structures like GPUs and CPU clusters.
  • Willingness to travel up to 10% of the time, as needed and hold an active Secret clearance.

Minimum Rate

$105,000 Annually

Maximum Rate

$245,000 Annually

About Johns Hopkins Applied Physics Lab

The Johns Hopkins University Applied Physics Laboratory (APL) is a research and development organization that provides solutions to national security and scientific challenges. The laboratory was founded in 1942 and is located in Laurel, Maryland. APL is a division of the Johns Hopkins University and is a not-for-profit organization. The laboratory has expertise in a variety of areas, including space exploration, national security, and healthcare.
Learn more about Johns Hopkins Applied Physics Lab
Size
7,000 employees
Industry
Founded
1942

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