Associate Autonomy Researcher

Position Summary: This position will be responsible for working, as part of a diverse and skilled technical team, to write and test software in high level languages, and to develop and test signal processing algorithms from concept to implementation. Eligibility to obtain a United States SECRET clearance (or higher) is required for ongoing employment in this position Minimum Qualifications:

1. Bachelor's Degree in a relevant technical field;
2. Familiarity with the language P
3. Demonstrated familiarity with optimization and applications to modeling and simulation
4. Demonstrated work involving autonomy architecture implementation and documentation
5. Demonstrated familiarity with Linux-based operating systems
6. Due to the nature of this position, U.S. Citizenship is required

Preferred Qualifications:

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

1. Master's Degree (or higher) in Mechanical Engineering, Electrical Engineering, Computer Engineering, or Computer Science
2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink, Python, C# or similar
3. Demonstrated experience performing research and technical work supporting DoD customers, including but not limited to AFRL
4. Research involving parallel distributed autonomy applications
5. Experience with using Linux shell scripting (bash, dash, ksh, etc.)
6. Demonstrated, effective interpersonal skills

 

Special Instructions to Applicants:   Closing Statement:

Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, women, protected veterans, individuals with disabilities, or on the basis of age, race, color, national origin, religion, sex, sexual orientation or gender identity.