CASC Bridging AI with Scientific Simulations – Postdoctoral Researcher
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Job Location:
Livermore, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We have an opening for a Postdoctoral Researcher to perform research in building the core infrastructure for automating the coupling of scientific simulations with Artificial Intelligence (AI). You will work collaboratively with LLNL researchers to design and implement new methodologies that integrate machine learning models and agentic frameworks with large-scale scientific applications targeting heterogeneous many-core high-performance computing (HPC) systems. This position is in the Center for Applied Scientific Computing (CASC) within the Computing Directorate.
Essential Duties
- Research design and implement scalable tools combining static and dynamic techniques to couple scientific application execution with machine learning model training and inference.
- Research design and develop mechanisms to coordinate the execution of multiple asynchronous components to support AI Accelerated applications.
- Explore novel schemes to achieve robust scalable data assimilation collect and analyze scientific data and machine learning model training.
- Document research by publishing papers in peer-reviewed media and presenting papers within the DOE community and at academic conferences.
- Contribute to group grant proposals including proposal presentations and preparation of proposals that will provide future research opportunities in the field and participate in the establishment of future research directions.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to define and carry out the research.
- Perform other duties as assigned.
Qualifications :
- Ph.D. in Computer Science or a related field.
- Strong programming skills in C C and Python within Unix/Linux environments.
- Expert in workflows orchestration and data assimilation demonstrate through publications and/or software contributions.
- Proficient user of HPC job schedulers (e.g. flux SLURM) and/or Kubernetes.
- Ability to perform research and development in distributed asynchronous software for many-core high performance computing systems.
- Ability to conduct high quality research and to develop implementations to evaluate the results.
- Proficient verbal and written communication skills necessary to interact in a clear and concise manner author technical and scientific reports and papers and deliver scientific presentations.
- Ability to take the initiative and have interpersonal communication skills necessary to work effectively in a dynamic team environment.
Desired Qualifications
- Experience with state-of-the-art machine learning libraries (e.g. PyTorch Tensorflow).
- Experience with performance analysis tools (e.g. Caliper).
- Ability to perform research and development in software targeting heterogeneous hardware systems such as CPUs and GPUs.
Additional Information :
#LI-Hybrid
Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years open to those who have been awarded a PhD at time of hire date.
Why Lawrence Livermore National Laboratory
- Included in 2025 Best Places to Work by Glassdoor!
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
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Remote Work :
No
Employment Type :
Full-time
Key Skills
- Intelligence Community Experience
- Python
- Spss
- Microsoft Word
- R
- Regression Analysis
- Windows
- Stata
- Microsoft Powerpoint
- Research Experience
- Data Modeling
- Writing Skills
About Company
Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG idea ... View more
