Requisition Id 10744

Overview:

Oak Ridge National Laboratory is making a strategic hire for an Adversarial AI Research Scientist. In this role, you will be responsible for researching, designing, and developing AI systems that can withstand attacks from malicious actors. You will work closely with a team of ORNL researchers and developers to explore different approaches to adversarial machine learning (ML), evaluate existing algorithms and methods, and develop novel techniques for improving the security and robustness of AI models.

This is an ORNL Strategic Hire position. Strategic hires support ORNL’s primary initiative areas, strengthen Laboratory core capabilities, and develop new program directions. Strategic hires are established investigators, well qualified for leading research programs with expertise critical for responding to evolving new programs, capable of developing substantial programs, and able to take organizational leadership roles. As a strategic hire, you will be provided internal funding to support R&D activities and needed equipment purchases as you help establish new scientific and technical capabilities at ORNL.

If you are passionate about using your skills and expertise to make a difference in the world of AI, apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and the opportunity to work with a team of talented professionals who are dedicated to advancing the state of the art in robust AI.

Position Overview:

As a nation, we are becoming more reliant on artificial intelligence and machine learning technologies every day — and for almost every aspect of our lives, including our economic and national security. AI systems are extremely powerful, but they are also vulnerable to adversarial attacks that attempt to steal, destroy, fool, influence, and tamper with such systems. AI systems can also be misused for negative purposes such as generating misinformation. New AI science and technology is needed to enhance the security, robustness, and reliability of AI systems and to identify AI-generated deepfakes and other types of misinformation. This strategic hire position is your unique opportunity to build an exciting research program with global impact.

Major Duties and Responsibilities:

• Research and develop novel techniques for defending AI systems against adversarial attacks
• Design and implement experiments to evaluate the effectiveness of different approaches to adversarial ML
• Collaborate with researchers and developers to integrate new techniques into existing AI systems
• Keep up-to-date with the latest research in adversarial ML and related fields
• Publish research papers and attend conferences to share findings and insights with the broader community
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:

• PhD in computer science, mathematics, statistics, or a related field
• Strong background in machine learning, with a focus on adversarial machine learning
• Experience in designing and implementing adversarial attacks and defenses
• Proficiency in programming languages such as Python and TensorFlow or PyTorch
• Ability to work independently and collaboratively in a team environment
• Strong written and verbal communication skills

Preferred Qualifications:

• Proven record of technical research skills and the desire to apply these skills to the national security domain
• U.S. Q or TS Clearance
• Practical and theoretical knowledge of adversarial AI tools and methods

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.