Senior Navigation Analyst

Johns Hopkins Applied Physics Laboratory•Laurel, MD

6d•Onsite

About The Position

We are the Navigation group in the Force Projection Sector at JHU/APL. We are seeking a Navigation Analyst to help us pursue innovative solutions to the timely and timeless maritime navigation problem. As a Senior Navigation Analyst, you will become the Subject Matter Expert on the mathematical theory and physics behind navigation systems that must operate in extremely demanding conditions in support of the most crucial missions of the US military. You will apply this knowledge to model the errors in various navigation systems and be part of a team determining their impact on tactical and strategic mission objectives as we also investigate methods to mitigate their influence. You will join a highly talented and motivated team of mathematicians, engineers and physicists focused on navigation error analysis with many opportunities to collaborate with other innovative experts from a variety of technical fields. Your specific tasks will include mastering the mathematical models governing the performance of the most accurate inertial navigation systems in the US Navy surface and subsurface fleet. You will derive the physics-based models for how the various supporting aids to the navigation system interact and influence the inertial system. You will assess the fidelity of the navigation systems being studied then communicating your conclusions and recommendations to decision-makers. You will also mentor colleagues to grow subject matter expertise in mathematical physics-based modeling for navigation sensors.

Requirements

Have a Bachelor's degree in Mathematics, Physics, Engineering or similar technical field.
Have at least 7 years of relevant experience developing and using mathematical or physics-based models describing a complex system to perform analysis for military applications.
Have specific experience with performance analysis for maritime navigation or missile guidance systems.
Have experience modeling navigation sensors including IMUs, GPS, or navigational sonars (Doppler Velocity Log, Correlation Velocity Log).
Have experience with and a passion for mentoring/knowledge sharing.
Have experience with Kalman filters and/or modern system estimation and multi-sensor data fusion methods.
Have experience with a high-level programming language like MATLAB or Python.
Have the verbal and writing skills and disposition necessary for documenting and presenting complex technical work to APL colleagues and government sponsors at a broadly understandable level.
Enjoy solving challenging technical problems requiring both self-motivated independent investigation and collaborative team effort.
Are willing and able to travel occasionally to US Navy facilities, bases and contractor sites to present results.
Are able to obtain a Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance.
Eligibility requirements include U.S. citizenship.

Nice To Haves

Have a Master's or PhD in Mathematics, Physics, Engineering or similar technical field.
Have specific experience with engineering or test and evaluation for the Trident II, Minuteman III, Sentinel, or AN/WSN-7 systems.
Have proven experience developing or executing technical training or curricula for STEM-related topics.
Have a Top Secret security clearance.

Responsibilities

Become the Subject Matter Expert on the mathematical theory and physics behind navigation systems that must operate in extremely demanding conditions in support of the most crucial missions of the US military.
Apply this knowledge to model the errors in various navigation systems and be part of a team determining their impact on tactical and strategic mission objectives as we also investigate methods to mitigate their influence.
Join a highly talented and motivated team of mathematicians, engineers and physicists focused on navigation error analysis with many opportunities to collaborate with other innovative experts from a variety of technical fields.
Mastering the mathematical models governing the performance of the most accurate inertial navigation systems in the US Navy surface and subsurface fleet.
Deriving the physics-based models for how the various supporting aids to the navigation system interact and influence the inertial system.
Assessing the fidelity of the navigation systems being studied then communicating your conclusions and recommendations to decision-makers.
Mentoring colleagues to grow subject matter expertise in mathematical physics-based modeling for navigation sensors.