Postdoctoral Scholar

Lawrence Berkeley National Laboratory • Berkeley, CA

23h • Onsite

About The Position

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar within the Energy Geosciences Division. Talented and experienced PhD researchers are encouraged to apply for this competitive postdoctoral position utilizing universal potentials, machine learning interatomic potentials, atomistic simulations, and computational thermodynamics to understand phase behavior in ionic liquids, solids, and the interfaces between them. The candidate will join a diverse team of researchers from multiple disciplines at Lawrence Berkeley National Laboratory and partner institutions, including National Laboratories, Universities, and Industry. The goal is to develop high-throughput approaches to predict new material reaction mechanisms and pathways. The challenge is to deploy artificial Intelligence and machine learning to accelerate first-principles computation and to understand the thermodynamic behavior of ionic systems. The organization is dedicated to bringing science solutions to the world and addressing global challenges.

Requirements

• Ph.D. in Chemistry, Materials Science, Computational Science, Data Science, Applied Mathematics, Physics, Chemical Engineering, or other related field
• Demonstrated laboratory research experience and knowledge in thermodynamics and calorimetry
• Demonstrated effective verbal and written communication skills
• Proven ability to work productively both independently and as part of an interdisciplinary team
• Less than 1 year of paid postdoctoral experience

Nice To Haves

• Utilizing universal potentials, machine learning interatomic potentials, atomistic simulations, and computational thermodynamics to understand phase behavior in ionic liquids, solids, and the interfaces between them
• Developing high-throughput approaches to predict new material reaction mechanisms and pathways
• Deploying artificial Intelligence and machine learning to accelerate first-principles computation and to understand the thermodynamic behavior of ionic systems

Responsibilities

• Publication of high impact peer reviewed science
• Independent development of hypothesis driven, fundamental science
• Experimental calorimetry including DSC, drop solution, acid solution, isothermal titration, or similar
• Data analysis, scientific model development, and machine control in Python, C++, or other common scientific programming language
• Design, fabrication, operation, troubleshooting, and repair of laboratory equipment

Benefits

• State-of-the-art instrumentation
• Autonomous laboratories driven by artificial intelligence
• Collaboration with experts from diverse scientific backgrounds in a supportive environment
• Exceptional health and retirement benefits, including pension or 401K-style plans
• Winter Holiday Shutdown
• Parental bonding leave (for both mothers and fathers)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree