Postdoc in Thermodynamic Computing & GPU Simulations

Berkeley Lab; Berkeley (CA); On-site; USD 99,000 - 111,000; Full time

Job summary

Berkeley Lab's Molecular Foundry seeks a Postdoctoral Scholar in Thermodynamic Computing to scale this physics-based computing paradigm. You will run large-scale simulations at NERSC, explore fundamental thermodynamic behavior, and design systems capable of tackling state-of-the-art machine-learning tasks.

Work with leaders at the Foundry and NERSC, publish in peer-reviewed venues, and contribute to a growing program supported by an LDRD.

Qualifications

• PhD in physics, computer science, applied mathematics, or a related field.
• Experience developing numerical simulations of physical systems, or training machine-learning models.
• Proficiency in Python, C++, Julia, or Fortran.
• Ability to formulate research questions and pursue them independently.
• Strong communication skills both written and verbal with demonstrated ability to communicate results through publications or presentations.
• Experience with GPU computing and large-scale HPC resources.

Responsibilities

• Design and run large-scale simulations of nonlinear, nonequilibrium thermodynamic computers on GPUs at NERSC, using hybrid evolutionary and gradient-based training methods.
• Benchmark the accuracy, speed, and energy cost of thermodynamic computers against digital neural networks on standard machine-learning tasks.
• Determine how design choices, such as network connectivity, nonlinear response functions, and driving protocols, control inference accuracy and energy dissipation.
• Write and maintain documented, reproducible simulation code.
• Publish results in peer-reviewed journals, and present them at conferences and internal meetings.

Skills

Independent research

Communication skills

GPU computing

Problem solving

Education

PhD in physics, computer science, applied mathematics, or related field

Tools

Python

C++

Julia

Fortran

Job description

Berkeley Lab's Molecular Foundry seeks a Postdoctoral Scholar in Thermodynamic Computing to scale this physics-based computing paradigm. You will run large-scale simulations at NERSC, explore fundamental thermodynamic behavior, and design systems capable of tackling state-of-the-art machine-learning tasks.

Work with leaders at the Foundry and NERSC, publish in peer-reviewed venues, and contribute to a growing program supported by an LDRD.