Description
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in machine learning to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle.
As a member of our team, you will...- Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
- Contribute to the full research and development lifecycle for emerging problems. This includes model and algorithm selection, experimentation, analysis, and presentation of results.
- Apply appropriate statistical and machine learning expertise towards selecting modeling approaches for complex, real-world data.
- Use internal funding opportunities to shape the direction of future research.
- Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.
Qualifications
You meet our minimum qualifications for the job if you...- Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field.
- Demonstrate strong interpersonal skills and the ability to work independently and on a team.
- Have a solid understanding of the mathematical foundations of ML, including probability, statistics, and linear algebra.
- Have experience using modern AI/ML libraries or frameworks (e.g., PyTorch, TensorFlow, or similar), with including adapting or extending methods for domain-specific problems.
- Demonstrate experience selecting appropriate modeling techniques for supervised, unsupervised, or reinforcement learning problems in research or real-world settings, with an understanding of when and why they are appropriate.
- Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You will go above and beyond our minimum requirements if you...- Have experience in project management or leading technical teams.
- Have experience in writing technical proposals, particularly for government research projects.
- Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings.
- Have experience applying machine learning methods to scientific, engineering, or data analysis problems, including areas such as computer vision, NLP, time-series analysis, or scientific machine learning.
- Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields.
- Have experience understanding, developing, or adapting modern AI models and workflows, including large language models, for quantitative analysis and decision support.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
