Nuclear Engineering Data Scientist in , us

Nuclear Engineering Data Scientist

Position Overview: As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques, hybrid modeling approaches, and uncertainty quantification to tackle complex problems in nuclear engineering and related domains. This role is perfect for someone with a strong research background, experience in integrating machine learning models into engineering workflows, and a passion for applying cutting-edge AI technologies to real-world challenges in the nuclear industry.
Location: This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.
Your Day to Day as a Nuclear Engineering Data Scientist:
Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
Design hybrid modeling frameworks that combine physics-based and data-driven approaches for applications such as critical heat flux prediction and reactor physics simulations.
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems.
Optimize nuclear engineering processes using advanced AI methodologies, including transfer learning and generative models.
Collaborate with cross-functional teams to integrate ML models into existing nuclear engineering tools.
Lead efforts in data augmentation, synthetic data , and domain adaptation to enhance model performance in data-scarce scenarios.
Required Qualifications:
A minimum of a bachelor's degree in Nuclear Engineering, Computer Science, or a related field, with a strong focus on machine learning and artificial intelligence.
A minimum of ten (10) years of relevant experience is required.
Must have proven expertise in deep learning frameworks such as TensorFlow and PyTorch.
Must be proficient in programming and tools, including Python, C++, and MATLAB.
Must have experience with nuclear codes such as MCNP, Serpent, OpenMC, and CTF.
Must have demonstrated ability to develop and validate hybrid modeling techniques in nuclear engineering contexts.
Must be familiar with uncertainty quantification methods and transfer learning techniques.
Must have strong publication record in reputable journals and conferences, showcasing contributions to AI and nuclear engineering.
Must be excellent communication skills and ability to present complex technical concepts to diverse audiences.
Must be a U.S. .
Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance as required.
What We Offer:
Competitive salary and benefits package, including health, dental, and retirement plans.
Flexible work schedules and paid time off to promote a healthy work-life balance.
Professional development opportunities, including mentorship programs and sponsorship for continuing education.
An inclusive atmosphere that celebrates new perspectives and supports collaboration between different .
The chance to be part of a mission-driven organization making a positive impact on the future of energy.
Opportunities for continuous learning and training to grow throughout your career!
Pay: $86,000.00 - $136,000.00 The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $86,000.00 and $136,000.00 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,' unless employed at a location and in a position subject to a collective bargaining agreement. The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.