Orbital Analyst Engineering Internship

Omitron is a company focused on flight operations, trajectory design and analysis, Space Domain Awareness software tools, and on-orbit Spaceflight Safety. The Orbital Analyst Engineering Intern will develop expertise in operational orbital mechanics, process orbit-state and prediction data, and coordinate information across functional areas to deliver space analysis products. The role may broaden into conjunction assessment, proximity operations, and other orbit-analysis tasks.

Responsibilities:

• The engineering intern will develop the knowledge and expertise to solve various operational orbital mechanics problems and to process data for orbit states and predictions
• A successful intern will learn and understand processes to coordinate and integrate relevant information and findings across multiple functional areas to develop and deliver space analysis products enabling customer situational awareness and decisions
• Potential for broadening into other areas related to conjunction assessment, proximity operations and various technical tasks related to orbit analysis
• Demonstrated understanding of orbit determination to include tracking and predicting orbits using mathematical models and algorithms
• Desire to understand space surveillance sensors, networks, and observation data, including capabilities and limitations
• Ability and willingness to multi-task and be capable of applying innovative analysis in a dynamic work environment to solve customer problems
• Willingness to study and understand orbital or space science data and non-regular data message management
• Ability to learn how to apply orbital mechanics to real world problems
• Aptitude on compiling statistics based on current space object population
• Education and/or experience in code design
• Willingness to develop Python scripting skillset to develop code on analyzing space-based assets

Requirements:

• Demonstrated understanding of orbit determination to include tracking and predicting orbits using mathematical models and algorithms
• Desire to understand space surveillance sensors, networks, and observation data, including capabilities and limitations
• Ability and willingness to multi-task and be capable of applying innovative analysis in a dynamic work environment to solve customer problems
• Willingness to study and understand orbital or space science data and non-regular data message management
• Ability to learn how to apply orbital mechanics to real world problems
• Aptitude on compiling statistics based on current space object population
• Education and/or experience in code design
• Willingness to develop Python scripting skillset to develop code on analyzing space-based assets
• Candidate must have recently completed or be within six months of completing one or more of the following preferred degree programs: Aerospace Engineering, Physics/Astrophysics, or Aeronautics.  As curriculum contents vary by institution, other related programs will also be considered
• Candidate must meet eligibility requirements and be willing to complete a background investigation and application for a TS/SCI clearance
• U.S. Citizenship required
• An ideal applicant should hold a Master's degree in a relevant field or be on track to graduate from a commensurate program within 12 months of interview
• Familiarity with Linux-based OS, particularly Red Hat
• Beginner to intermediate proficiency in Python 2 and/or 3, Perl, and enabling efficient shell scripting and application development with modern languages
• Familiarity with Python numerical and libraries such as NumPy, Pandas, Matplotlib, SciPy
• Preferred coursework includes Spacecraft Control, Spacecraft Attitude Dynamics, Experimental Dynamics & Control, Spacecraft Detailed Design, Spacecraft Preliminary Design, Space Mechanics, Spacecraft Systems, Astrophysics, Orbital Mechanics, Systems Engineering, Space Vehicle Dynamics, Space Vehicle Design, Control Systems, Rocket Propulsion, Space Environment, Astrodynamics, Numerical Methods, Statistics and Probability, Aerodynamics, Orbital Mechanics, Model Based Systems Engineering, Thermodynamics and Heat Transfer, Space Environment, Thermodynamics, Partial Differential Equations