Join Our Team: Postdoctoral Research Associate in AI/ML for Algorithm Development

Location: Oak Ridge National Laboratory (ORNL), Theory and Computation section, Center for Nanophase Materials Sciences, Physical Sciences Directorate

Requisition ID: 12983

Overview:

At Oak Ridge National Laboratory, we are on the lookout for an ambitious Postdoctoral Research Associate specializing in AI and Machine Learning. This role is crucial for developing and applying machine learning algorithms tailored for autonomous experimental laboratories within our Data NanoAnalytics (DNA) group.

Role Description:

In your new role, you will collaborate with an interdisciplinary team at ORNL and partnering universities to enhance human-in-the-loop autonomous experimental workflows. Your contributions will include implementing these algorithms in automated instruments, such as scanning probe and/or scanning transmission electron microscopes, and managing extensive data and analysis pipelines.

Major Duties/Responsibilities:

• Design, develop and apply advanced machine learning algorithms to foster autonomous and human-in-the-loop processes that boost efficiency and scientific discovery.
• Distribute new codes in a documented, modular fashion for use by academic and research partners.
• Contribute to ORNL’s core values—Impact, Integrity, Teamwork, Safety, and Service—promoting a diverse and inclusive workplace culture.

Basic Qualifications:

• PhD in Physics, Chemistry, Biology, Computer Science, or a related field.
• At least three years of experience with machine learning in physical, biological, or chemical sciences.
• Proficiency in Python programming with a proven track record of contributions to online code repositories.

Preferred Qualifications:

• Prior experience with databases and computational workflows.
• Background in autonomous experimental settings or self-driving laboratories.

Application Requirements:

Candidates must not have received their PhD more than five years prior to the application date and must complete all degree requirements before beginning their appointment. This position is set for 24 months with possible extensions based on performance and funding availability. Interested applicants should submit three letters of reference alongside their application.

Benefits:

ORNL fosters an enriching environment offering competitive compensation and comprehensive benefits such as health and wellness programs, educational assistance, and retirement plans aimed at facilitating work-life balance.

Apply Now:

Ready to contribute to groundbreaking research at ORNL? Submit your application through . For detailed instructions on applying online or if you experience any difficulty, email .

Closing Statement: This job opportunity will be open for a minimum of 5 days from the posting date and will close upon identification of a qualified candidate.

ORNL is dedicated to equality of opportunity and encourages individuals with disabilities, veterans, and diverse candidates to apply. UT-Battelle is proud to be an E-Verify employer.

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