Research Scientist

Peerless Technologies

  • Albuquerque, NM
  • 9 days ago

    Highlights

    The selected candidate will apply scientific data processing, numerical methods, software algorithms, modeling and simulation (M&S), and physics-based analysis to solve complex technical challenges and advance mission-focused capabilities. Conduct advanced research in scientific data processing, numerical techniques, software algorithms, modeling and simulation, and physics phenomenology.

    Numbers & Facts

    LocationAlbuquerque, NM

    Description

    Peerless Technologies is seeking a Research Scientist to support scientific research and development in defense-related applications. The selected candidate will apply scientific data processing, numerical methods, software algorithms, modeling and simulation (M&S), and physics-based analysis to solve complex technical challenges and advance mission-focused capabilities.

    Key Responsibilities

    • Conduct advanced research in scientific data processing, numerical techniques, software algorithms, modeling and simulation, and physics phenomenology.

    • Develop and implement innovative algorithms, models, and computational methods to address complex scientific problems.

    • Analyze large datasets to identify trends, generate insights, and support research objectives.

    • Collaborate with multidisciplinary teams to integrate research findings into software applications and technical solutions.

    • Work with end-user customers to identify future M&S requirements, recommend feature enhancements, and resolve software defects.

    Requirements

    • Bachelor's degree in Physics, Engineering, Computer Science, or a related technical field.

    • At least 3 years of research experience supporting DoD projects, such as major weapon systems or major acquisition programs (e.g., ACAT).

    • Experience in scientific data processing, numerical methods, software algorithms, modeling and simulation, and physics phenomenology.

    • Proficiency in programming languages such as Python, C++, MATLAB, R, or similar.

    • Experience with scientific computing and data analysis tools.

    • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.

    • Excellent written and verbal communication skills.

    Preferred Qualifications

    • Master's or Ph.D. in Physics, Engineering, Computer Science, or a related field.

    • Experience applying machine learning and artificial intelligence techniques.

    • Familiarity with high-performance computing environments.

    • Experience contributing to interdisciplinary research and development projects.

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