Aerospace Algorithms Engineer Graduate Co-op

MORSE Corp Co-op Opportunities • Cambridge, MA

7h • $28 - $37

About The Position

As an Aerospace Algorithms Engineer Co-op at MORSE you will be working on a broad set of applications developing novel physics, statistical, mathematical, and machine learning models for use in mission planning, modeling & simulation, and machine learning applications. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Requirements

• The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!
• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.
• Working towards a MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field
• Proficiency in Python algorithm and software development practices.
• Strong background in physics, math, and statistics.
• Experience with developing algorithms and simulations.
• Experience simulating dynamic systems to test and validate algorithmic performance
• Experience describing systems via equations of motion derived from first-principle engineering analysis
• Experience presenting technical work through white papers, analysis test reports, and oral presentations

Nice To Haves

• Experience with digital signal processing, algorithm development, & AI/ML
• Experience with radar and radar processing
• Knowledge of aero performance and/or GNC as applied to aircraft
• Background in numerical methods

Responsibilities

• Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.
• Process and analyze raw data
• Simulate and validate algorithmic performance using dynamic systems.
• Present technical work through white papers, analysis test reports, and oral presentations.
• Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

What This Job Offers

• Career Level: Entry Level