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 Sr Simulation & Modeling Research Scientist

Details
Country: USA
Location: Cambridge MA
Total applied: 40
Location:US-MA-Cambridge

Base Pay:$95,000 - $115,000/Year
Employee Type:Full-Time Employee

Industry:Transportation

Manages Others:no
Sr Simulation & Modeling Research Scientist

Battelle Memorial Institute is a global science and technology enterprise that develops and commercializes technology and manages laboratories for customers. Headquartered in Columbus, Ohio, we have a vast science and technology reach. With the national labs we manage or co-manage, we oversee 19,000 staff members and conduct $2.9 billion in annual research and development.

In Cambridge Massachusetts, Battelle is partnered with Computer Sciences Corporation in providing on-site transportation information systems and information technology support to the John A. Volpe National Transportation Systems Center. This new five-year project represents a continuation of the 12 years of local support that Battelle has provided to the Volpe Center. Battelle will continue to support a broad mix of Volpe projects cutting across a wide range of technical disciplines.

The Volpe Center is an internationally recognized center of transportation and logistics expertise. This new 5 year program will provide an exciting work environment for an IT professional that includes implementation and on-going operation of major programs for the Federal Aviation Administration (FAA) and the Federal Motor Carrier Safety Administration (FMCSA), as well as a myriad of smaller projects. Work will be conducted in Kendall Square, Cambridge, MA, no relocation funds available.

Battelle is seeking a Sr Simulation & Modeling Research Scientist with commensurate system software development experience and a strategic understanding of sophisticated programming environments, development processes and procedures, process improvements and enhancements
Position Responsibilities

The successful candidate will provide technical expertise to a team developing a Government-owned, aviation safety-critical stochastic simulation capabilities to enable analysis and certification of procedures, equipment, and airspace in the National Airspace System (NAS).

The successful candidate will need to incorporate and integrate several unique elements into this simulation capability such as 1) stochastic models of almost every component of the NAS – mechanical, electronic, and human – including navigation aids, surveillance systems (such as radar), pilots, aircraft, air traffic controllers, and weather; and 2)known, discrete artifacts such as runway size and configuration, and obstacles.
REQUIREMENTS


Required Qualifications




B.S. in mathematics, engineering, or a related discipline plus 12 yrs experience; M.S. in mathematics, engineering, or a related discipline plus 8 yrs experience; or Ph.D. in mathematics, engineering, or a related discipline and at least 3 yrs experience is desired.

A strong background in statistical techniques (such as Monte Carlo probability analysis), flight dynamics (such as 3-D performance envelopes of various aircraft), or flight mode models.

Comprehensive and in-depth experience with event modeling; kinematics, geospatial, sensor and environmental models; and/or flight simulation data analysis.

Proven leadership skills.

Experience with all phases of software development including requirements development, design, test, integration, and maintenance as well as software development standards, configuration management and quality assurance processes.

Experience managing systems development and integration, and software architecture.

Team player with effective verbal and written communication skills is essential.

Exceptional interpersonal skills with the ability to interface effectively with system engineers and software developers.

U.S. Citizenship or Green Card required.

Must be clearable for a position of public trust.

Work location: Cambridge, MA

Preferred Qualifications

A mathematics/science background is highly desirable.

Prior pilot, controller, or FAA engineering experience desired.

Knowledge of the National Airspace System, Aircraft Performance, Aircraft Routing (terminal and en route) and trajectory optimization.

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