Job Description:

Analytical Mechanics Associates (AMA) is seeking candidates in support of the Flight Vehicle Acoustics Branch at NASA Langley Research Center (LaRC). This position will support aeroacoustic prediction method development, validation, and application. Responsibilities include analyzing the information required to perform successful aeroacoustic studies and developing the computational approaches necessary to execute those analyses. The work will include studies of future aircraft concepts and aircraft noise reduction approaches. The base salary for this position is $100,000 to $150,000 per year, depending on relevant experience and education. This position allows for remote work, with travel required to sites as needed.

Responsibilities:

• Serve as the lead analyst for advanced aircraft concepts such as Blended Wing Body aircraft.
• Investigate and confirm the availability, quality, and viability of data required for analysis.
• Develop aircraft acoustic prediction analysis processes and perform associated analyses.
• Work with NASA technical leads on the development of full-scale Blended Wing Body acoustic flight tests, including aircraft design and performance parameters, instrumentation requirements, and test matrix development.
• Prepare plans and procedures for analysis of acquired flight-test data in support of full-scale Blended Wing Body flight testing.
• Support acoustic team meetings, including preparation and presentation of technical plans, analysis results, and recommendations.
• Travel as required to support acoustic analysis activities and collaboration efforts.

Required Qualifications:

• Ph.D. with a concentration in Aeroacoustics.
• Demonstrated expertise with NASA's ANOPP and ANOPP2 aircraft noise prediction codes, particularly for large subsonic transport aircraft.
• Demonstrated experience conducting aircraft system noise prediction studies, including advanced concepts such as Hybrid Wing Body (Blended Wing Body) aircraft.
• Prior experience supporting acoustic flight tests for large subsonic transport aircraft, including familiarity with test matrix planning, instrumentation requirements, and aircraft data needed for prediction and analysis.
• Excellent technical writing skills demonstrated through technical reports, publications, or similar work products.
• Willingness to travel occasionally (approximately 2-3 trips per year) to NASA Langley and industry partners supporting NASA programs.
• US Citizenship or Permanent Residency required.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.

AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.

AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.