Qureos Mentor

Oak Ridge National Laboratory

<div>Requisition Id 14592 
Overview:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;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. 
We are seeking a full-time Senior Artificial Intelligence and Machine Learning Research Scientist who will support the Cyber Resilience and Intelligence Division (CRID) in the National Security Sciences Directorate at ORNL. CRID provides new methods, tools, and strategies to detect and mitigate adversarial attacks on critical infrastructure and protections and informs national agencies about the nature, extent, and severity of adversarial actions with the goal of improving the US cyber and physical security posture. 
Major Duties/Responsibilities: 
<ul><li>Provide technical insights for program and project developments.</li><li>
Lead teams to define and implement sponsor requirements.</li><li>
Interact with sponsors and funding agencies from project conception, proposal writing, and project execution.</li><li>
Mentor early career staff through both formal project, task, and technical leadership.</li><li>
Perform research &amp; development at levels ranging from proof-of-concept development to software / system architecture.</li><li>
All team members deliver ORNL&rsquo;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 &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
A Ph.D. in computer science, electrical engineering, or a related field and six (6) years&rsquo; experience in government service or private industry. A combination of education and relevant experience may also be considered.</li><li>
Research experience in artificial intelligence, machine learning, and data science and analytics.</li></ul> 
Preferred Qualifications:<ul><li>
Experience leading teams and performing research in artificial intelligence / machine learning, specifically for cybersecurity, signal processing, biometrics, digital forensics, and/or computer vision for national security applications.</li><li>
Proven track record managing and executing funding at both relatively low levels (&lt;1 full time equivalent) to larger efforts (10+ full time equivalence).</li><li>
Excellent written and oral communication skills.</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within given timeframes and adapt to ever changing needs.</li></ul> 
Special Requirements:
Three (3) references are required. 
Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov (For postdocs, use Postdocrecruitment@ornl.gov) with the position title and number referenced in the subject line. 
Instructions to upload documents to your candidate profile:<ul><li>
Login to your account via jobs.ornl.gov</li><li>
View Profile</li><li>
Under the My Documents section, select Add a Document</li></ul> 
Visa sponsorship is not available for this position. 
This position requires the ability to obtain and maintain a Secret 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. 
About ORNL
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. 
#LI-DC1 
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.</div>

Senior Artificial Intelligence and Machine Learning Research Scientist

<div>Requisition Id 14593
Overview:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;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. 
We are seeking a full-time Distinguished Scientist, Artificial Intelligence and Machine Learning, who will support the Cyber Resilience and Intelligence Division (CRID) in the National Security Sciences Directorate (NSSD) at ORNL. CRID provides new methods, tools, and strategies to detect and mitigate adversarial attacks on critical infrastructure and protections and informs national agencies about the nature, extent, and severity of adversarial actions with the goal of improving the US cyber and physical security posture. 
Major Duties/Responsibilities:
<ul><li>Initiate, lead and perform independent and impactful artificial intelligence (AI),machine learning (ML), and data science research on an ongoing basis as evidenced by, for example, innovative science and technology (S&amp;T) delivered to sponsors, successful proposals, S&amp;T presentations, professional community engagement, inventions/patents/copyrights, publications as appropriate, etc.</li><li>
Develop a vision and implement a cohesive research strategy to ensure the success of new and ongoing research projects related to AI and ML science and technology.</li><li>
Provide technical insights for program and project development.</li><li>
Lead teams to define and implement sponsor requirements.</li><li>
Mentor early-career staff through both formal project, task, and technical leadership.</li><li>
Perform research &amp; development at levels ranging from proof-of-concept development to software / system architecture.</li></ul> 
All team members deliver ORNL&rsquo;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 &ndash; in how we treat one another, work together, and measure success. 
Basic Qualifications:<ul><li>
Ph.D. in computer science, electrical engineering, or a related field and 12 years&rsquo; experience in government service or private industry.</li><li>
Research experience in artificial intelligence, machine learning, and data science and analytics.</li><li>
Experience leading cross-functional research teams.</li></ul> 
Preferred Qualifications:<ul><li>
Experience leading teams and performing research in artificial intelligence / machine learning, specifically for cybersecurity, signal processing, biometrics, digital forensics, and/or computer vision for national security applications.</li><li>
Proven track record managing and expending funding at both relatively low levels (&lt;1 full time equivalent) to larger efforts (10+ full time equivalence).</li><li>
Excellent written and verbal communication skills.</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within given timeframes, and adapt to ever-changing needs.</li></ul> 
Special Requirements:
Three (3) references are required. 
Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov (For postdocs, use Postdocrecruitment@ornl.gov) with the position title and number referenced in the subject line. 
Instructions to upload documents to your candidate profile:<ul><li>
Login to your account via jobs.ornl.gov</li><li>
View Profile</li><li>
Under the My Documents section, select Add a Document</li></ul> 
Visa sponsorship is not available for this position. 
This position requires the ability to obtain and maintain a Secret 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. 
 
About ORNL
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. 
#LI-DC1 
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.</div>

Distinguished Scientist, Artificial Intelligence and Machine Learning

Join Oak Ridge National Laboratory and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Oak Ridge National Laboratory

ABOUT_COMPANY

Senior Artificial Intelligence and Machine Learning Research Scientist

Distinguished Scientist, Artificial Intelligence and Machine Learning