Applied Data Scientist - R&D Associate

Requisition Id14538

Overview:

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.

Major Duties/Responsibilities:

• In this role, you will 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.
• The research involves development and testing of novel data analytics processes and specialized algorithms to improve measurement efficiency and reduce uncertainties.
• Results will be documented by publication in high impact papers, journals, conference papers and technical reports.
• The work will involve collaboration in a team environment performing project work and developing research proposals.
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:

• 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.

Preferred Qualifications:

• 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.

Special Requirements:

Letters of Recommendation:

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to psdrecruit@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

• Login to your account via jobs.ornl.gov
• View Profile
• Under the My Documents section, select Add a Document

Visa Sponsorship:

Visa sponsorship is not available for this position.

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: 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, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.