2026 PhD Graduate – Applied Algorithms Engineer

Johns Hopkins Applied Physics Laboratory•Huntsville, Alabama

3d•Hybrid

About The Position

We are seeking innovative and highly talented PhD Graduate candidates to join our group, which specializes in advanced research and program of record activities for rapid capability advancements. In particular, you will conduct systems analysis, identify gaps, and develop novel concepts to revolutionize defensive capabilities for the U.S.A. You will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning (AI/ML) techniques, object tracking and discrimination, data fusion concepts, etc. in support of a wide variety of defense systems. You will be joining a hardworking team of engineers and scientists who are passionate about developing high-impact solutions at the forefront of APL's mission to provide innovative solutions to critical challenges in the area of missile defense.

Requirements

Possess or will soon be a PhD in Math, Computer Science, Physics, Electrical Engineering or a related field.
Detail-oriented with strong analytical and problem-solving skills.
Familiarity with probabilistic algorithms and numerical methods
Programming experience with MATLAB, C++, Python, or other high-level programming languages.
Highly self-motivated to dig into data to root cause issues and to understand system performance.
Ability to work both independently and as part of a larger team, as well as effective collaboration skills with other teams and contractors.
Able to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance.
U.S. citizenship

Nice To Haves

Knowledge, experience and interest in working with AI/ML technologies and MLOps practices.
Domain knowledge of Navy, Missile Defense Agency, Space Force, or Air Force systems.

Responsibilities

Conduct research and development activities related to U.S. Missile Defense systems.
Assist in the development, testing, and analysis of new concepts related to sensing, engagement, and fire control.
Implement algorithms and design modeling and simulation components of systems.
Develop AI/ML-based concepts and technical solutions to solve challenging problems.
Apply novel data fusion and tracking concepts for object tracking and discrimination applications.
Analyze simulation outputs and translate results into clear insights for the research sponsor.
Deliver presentations to technical staff, program leadership, and government sponsors.
Develop prototype capabilities and work with partner organizations to transition ideas to fielded systems.