RF Signatures Model Developer

2 days ago


Columbia, Maryland, United States Axient Full time
Join Axient's Team as a Junior RF Signatures Model Developer

We are seeking a highly skilled Junior RF Signatures Model Developer to join our team at Axient in Columbia, MD. As a key member of our team, you will be responsible for running computational electromagnetic simulations in high-performance computing environments, analyzing datasets, and contributing to technical reviews and customer briefings.

Key Responsibilities:
  • Conduct thorough analysis of computational electromagnetic simulation output to identify patterns, trends, and anomalies.
  • Produce high-quality numerical models of simulation outputs utilizing team processes and procedures.
  • Contribute to the development of new modeling and analysis tools.
  • Create technical data review and analysis briefings for both internal and external stakeholders.
  • Stay current with the latest advancements in RF/IR technology, signal processing algorithms, and modeling techniques.
  • Document and present methodologies and model performance to both technical and non-technical audiences.
Requirements:
  • Ability to obtain and maintain a US DoD SECRET clearance.
  • Bachelor of Science degree in physics, applied mathematics, data science, engineering, or related field.
  • 0-4 years of experience.
  • Mathematical background in linear algebra, differential equations, complex analysis, numerical methods, and statistics.
  • Familiarity with electromagnetic theory, quantum mechanics, and fluid dynamics.
  • Intermediate proficiency in MATLAB, Python, R, C/C++, or similar coding language for data analysis, algorithm development, and model implementation.
  • Excellent verbal and written communication skills.
  • Strong presentation skills.
Desired Qualifications:
  • Active US DoD SECRET (or higher) clearance.
  • Masters or PhD in physics, applied mathematics, data science, or engineering with relevant project experience.
  • Advanced proficiency in MATLAB, Python, R, C/C++, or similar coding language for data analysis, algorithm development, and model implementation.
  • Familiarity with software version control and issue tracking.
  • Experience with implementing linear or non-linear regression machine learning models.
  • Experience with analyzing large datasets.
  • Modeling and analysis experience in the characterization of adversary missile systems.
  • Experience working with Linux systems.
  • Familiarity with utilizing high-performance computing (HPC) environments for physics or mathematical simulations.
  • Familiarity with Finite Element Analysis (FEA).

Apply now to join our team and contribute to the development of cutting-edge RF signatures model development solutions.



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