Postdoctoral Researcher – Machine Learning & High-Performance Computing (HPC)
Organization: Lawrence Berkeley National Laboratory (LBNL)
Department: Computational Science Division
Location: Berkeley, California, USA
Position Overview
Lawrence Berkeley National Laboratory (LBNL) invites applications for a Postdoctoral Researcher position focused on Machine Learning and High-Performance Computing (HPC). The selected candidate will apply cutting-edge ML methods and scalable computing techniques to analyze and model large-scale scientific data. The position offers a unique opportunity to collaborate with domain scientists across multiple disciplines, including physics, materials science, and energy systems.
Duration / Type of Position
Temporary postdoctoral appointment (typically 2 years)
Start Date
As soon as possible / open until filled
Required Qualifications
- PhD in Computer Science, Applied Mathematics, Computational Science, or a related field.
- Experience with high-performance computing, machine learning, and parallel programming.
- Background in scientific computing related to physical sciences or engineering.
- Strong programming skills (C++, Python, Fortran).
- Proven publication record and collaboration experience in multidisciplinary environments
Application Materials
- Curriculum Vitae (including publication list)
- Cover letter or statement of research interests
- Names and contact information for 2–3 referees
Application Deadline
Open until filled (applications reviewed on a rolling basis)
Salary and Benefits
Commensurate with LBNL postdoctoral salary guidelines and benefits package.
Application Link
Apply via the LBNL Careers Portal:
🔗 https://jobs.lbl.gov/go/Postdoctoral-Positions/5972600/