Group Leader, Data Science & Visualization Group

Requisition Id 14971 

­­Overview: 

The Cyber Resilience and Intelligence Division (CRID) in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL) is seeking a senior scientist to lead a world-class applied research and development group. The Data Science & Visualization Group in the Advanced Intelligent Systems Section includes data scientists, Artificial Intelligence experts and practitioners, and software engineers carrying out applied research and development in developing scalable machine learning-based platforms that enable domain experts to more effectively draw insights from large, heterogeneous, multi-modal data sets, such as those commonly encountered by the national security community. Examples of data of interest include signals, network traffic, multi-modal imagery, video, text, open-source data, and other data sources of interest to the national security community. This group develops and employs the most effective solutions in scalable data management, analysis, and visualization. The focus of the group’s projects is to investigate feasible solutions or approaches and potentially deploy these solutions onto operational platforms to meet the needs of the national security mission. The group leader will oversee the group’s applied R&D agenda, will recruit and hire new staff that will enable execution of the group mission, will lead the effort to respond to new funding opportunities, and will guide the ongoing growth and development of the research staff that will carry out that R&D agenda.

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.

Candidates may also be interested in considering the Senior AI/ML Scientist position in the Advanced Intelligence Systems section. Check out our Senior AI/ML Scientist posting by following this link: https://jobs.ornl.gov/job-invite/14592/

Major Duties/Responsibilities:

• Oversee high quality applied research in various domains related to national security.
• Collaborate with application scientists inside and outside of the laboratory to advance the mission of the group, laboratory, and sponsors such as DOD, IC, DHS, DOE, and other agencies that support the national security mission.
• Conduct state-of-the-art research as part of the group and publish results in journals, conferences, and technical reports.
• Develop new research proposals as a basis of continued support of the national security mission and the overall health of the group.
• Manage staff within the group, including the retention of highly qualified staff; the development of staff capabilities; and ensuring that staff members are effectively utilized, rewarded, and motivated.
• Mentor less experienced staff in developing ideas and proposals, developing and executing a research plan, and presenting results.
• Recruit new researchers into the group from high quality academic institutions and research organizations.
• Represent group-level work to review committees and outside bodies as appropriate.
• Manage the group budget.
• Provide leadership in all areas of ES&H and full implementation of integrated safety management in the group.

Basic Qualifications:

• A  Ph.D. or Masters in Computer Science, Applied Math, Electrical Engineering, or a related field.
• At least 6 years (for Ph.D.) or 12 years (for M.S.) of research and development experience in national security research or a complementary field.
• Expertise should complement the purpose and mission of the group as described above, including working knowledge of fundamental machine learning methods.
• Experience writing successful R&D proposals, research plans, and engaging government agencies to capture sponsored research programs.
• Experience managing medium/large research projects and presenting project results.
• Experience managing/mentoring students or researchers and recruiting new staff.
• Experience deploying complex software stacks to operational use.
• A proven publication record in the field of interest.

Desired Qualifications:

• Knowledge and experience with the development and deployment of state-of-the art computational architectures for data management and analysis.
• Demonstrated ability to effectively interact with senior levels of client management and others involved in technical endeavors.
• A successful record of developing research partnerships and collaborative relationships with universities, industry, and research laboratories.
• Excellent interpersonal skills, the ability to work independently, outstanding written and oral communication skills, good organizational skills.

Special Requirement:
This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.  In addition, due the SCI, you may also be subject to random polygraph testing.

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.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

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.