Job Directory Modeling & Simulation Engineer/Analyst - 00052344

Modeling & Simulation Engineer/Analyst - 00052344
Bedford, MA

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Job Description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us.

We are currently seeking a Modeling and Simulation Engineer/Analyst to join the Cross-cutting Urgent Innovation Cell (CUIC) within MITRE's National Security Engineering Center (NSEC). CUIC is comprised of a team of analysts, scientists, innovators, and engineers, focusing on delivering meaningful solutions to national security challenges. CUIC is bringing mission analysis, experimentation, research, and prototyping together in a unique environment that is structured to optimize results. We believe that understanding user needs drives innovation and CUIC's deep connection to its customers and their missions ensures that we can help solve our nation's biggest national security challenges. CUIC relies on initiative and enthusiasm from individual staff members who work proactively and collaboratively towards common goals.

A Modeling and Simulation Engineer/Analyst is needed who possesses a breadth of technical skills and strong programming capability. This position requires the development of analysis tools using math, physics, and programming, and then using those tools under direction from more senior staff to generate and assess results and extract key lessons learned. Successful candidate(s) will learn new techniques and approaches on-the-job working in collaboration with other team members.

Minimum Qualifications:

* Bachelor's degree
* Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements.

Required Qualifications:

* Bachelor's degree and related project experience in physics, applied mathematics, aerospace, mechanical engineering or related discipline with a strong technical background
* Possess a desire to do cross-disciplinary work assessing concepts for physics-based analysis of national security challenges in operational contexts
* Experience with developing physics-based modeling and simulation tools and applying those tools to address research questions
* Experience with understanding simulation results, identifying areas for additional focus, and extracting critical lessons learned
* Strong problem-solving skills and capability to collaborate with scientists, analysts, and technical experts across several technical disciplines
* Desire to learn new techniques and approaches on-the-job by leveraging structured educational content, as well as expertise from team members

Preferred Qualifications:

* Master's degree with research experience in one of the above specified degree programs
* Familiarity with a modern programming language such as C or C++, Python, MATLAB, Mathematica, AFSIM, or Analytica
* Familiarity with one or more of the following: aerodynamic systems, orbital mechanics, signal processing, sensor systems, and RF or EO/IR physics
* Experience creating agent-based models of complex systems
* Hands-on experience in adapting research done in academia and industry to "real-world" challenging data sources and problems sets
* Experience conducting quantitative data analysis using a variety of datasets
* Ability to formulate rigorous models based on loosely-defined or underspecified research questions and requirements

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