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Johns Hopkins Applied Physics Laboratory · 4 months ago

2026 PhD Graduate – Artificial Intelligence and Complex Systems Researcher

Laurel, MD

Full-time

Onsite

New Grad, Entry Level

$102K/yr - $228K/yr

Johns Hopkins Applied Physics Laboratory is dedicated to solving complex challenges in defense, security, space, and science. They are seeking a PhD Graduate to contribute to and lead AI projects in complex systems, focusing on designing and developing machine learning algorithms and collaborating with domain experts.

EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Contributing to and leading AI projects for complex systems

Designing, training, and developing machine learning (ML) algorithms

Collecting and preparing data

Evaluating models

Programming

Establishing collaborations with complex system domain experts

Seeking opportunities to propose ideas for internal or external funding

Establishing working relationships with Program Managers

Publishing research in impactful venues

Engaging with the external research community, external collaborators, and sponsors

Qualification

AI/ML algorithmsDeep learningPython programmingData scienceStatistical analysisSoftware developmentProject managementTechnical proposalsResearch publicationComplex systems knowledgeCollaborationCommunication skills

Required

Have a PhD degree in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering

Have published previous research in peer-reviewed journals and/or conferences

Have experience in one or more of our core skills: AI/ML algorithms, data science, deep learning, graph theory, software development, or statistical analysis

Are proficient in Python programming

Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top 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

Preferred

Have background knowledge in earth systems, materials, chemistry, biology, additive manufacturing, or other complex systems

Are skilled in project management or leading technical teams

Have experience writing technical proposals, particularly government research sponsors

Have experience applying AI/ML to real-world data such as remote sensing data, earth systems data, materials data, omics data, or additive manufacturing related data

Have proficiency in developing AI/ML software

Have experience with AI/ML and data science libraries such as PyTorch and the Hugging Face stack

Are familiar with advanced AI methods like agentic AI, physics-informed neural networks, neural operators, diffusion modeling, graph neural networks, Bayesian optimization, active learning, large language models, and symbolic AI

Benefits

Generous benefits

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

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

Company

Johns Hopkins Applied Physics Laboratory

The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.

Founded in 1942