Applied Data Scientist - R&D Associate

About the position

We are seeking an Applied Data Scientist to perform research and development that will yield novel and advanced multi-modal detector systems, instrumentation, measurement techniques, and algorithms in support of applications from a broad user base. This role resides in the Advanced Detection and Applied Data Science (ADADS) group, Nuclear Structure & Advanced Technologies Section, Physics Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). ADADS draws from fundamental physics to develop technologies and processes that support the design, development, and deployment of high-sensitivity detection systems for measuring radiation and other physics phenomenologies. The group focuses on the development and evaluation of novel and advanced radiation detector and non-destructive evaluation concepts for basic science, nonproliferation, national security, and intelligence organizations. The ADADS group performs the research and technology development to evolve these advanced concepts from conception to demonstration or deployment with particular emphasis on sensitivity and specificity in actual field operations, including use of radiation transport codes to model these systems and analysis codes to isolate signals of interest.

Responsibilities

• Work with research staff within ADADS and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including nuclear material detection, identification, characterization, and localization capabilities to support nuclear security missions.
• Develop and test novel data analytics processes and specialized algorithms to improve measurement efficiency and reduce uncertainties.
• Document results by publication in high impact papers, journals, conference papers and technical reports.
• Collaborate in a team environment performing project work and developing research proposals.
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with core values of Impact, Integrity, Teamwork, Safety, and Service.

Requirements

• PhD in physics, engineering, mathematics, statistics, or a related field.
• A minimum of 2 years of research or laboratory experience.
• Demonstrated capabilities and experience in data science or data analytics.

Nice-to-haves

• Ability to obtain and maintain a clearance from the Department of Energy.
• Basic understanding of the detection of radioactive materials through measurement of ionizing radiation.
• Experience with code development and/or familiarity with various computer languages including C, C++, Python, Julia and/or R.
• Familiarity with TensorFlow, OpenCV and other machine learning libraries.
• Demonstrated understanding of applying modern data science/machine learning techniques to real data (not synthetic data) to gain insights and understanding of trends.
• Demonstrated understanding of techniques such as analyzing time series data for anomaly detection and classification.
• Experience in data fusion and data correlations using orthogonal sensor streams.
• Experience adapting and optimizing data science and machine learning techniques for edge computation.
• Experience with LiDAR and/or photogrammetry scene generation and object detection.
• Commitment to stay current with new data analytics/machine trends.
• Excellent written and oral communication skills.
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Benefits

• Medical and retirement plans
• Flexible work hours
• On-site fitness, banking, and cafeteria facilities
• Prescription Drug Plan
• Dental Plan
• Vision Plan
• 401(k) Retirement Plan
• Contributory Pension Plan
• Life Insurance
• Disability Benefits
• Generous Vacation and Holidays
• Parental Leave
• Legal Insurance with Identity Theft Protection
• Employee Assistance Plan
• Flexible Spending Accounts
• Health Savings Accounts
• Wellness Programs
• Educational Assistance
• Relocation Assistance
• Employee Discounts