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

Johns Hopkins Applied Physics Laboratory•Laurel, MD

163d

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.

Benefits

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.
Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance.

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