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Peerless Technologies seeks a Research Scientist to advance defense-related R&D through scientific data processing, numerical methods, and physics-based analysis. You will develop algorithms and models, analyze large datasets, and collaborate with multidisciplinary teams to deliver software solutions.
The role emphasizes end-user engagement to identify M&S requirements and resolve defects, with an expectation of hands-on coding in Python, C++, MATLAB, or R and strong communication skills.
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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.
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.
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.
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.