Machine Learning Postdoc and High Performance Computing
- Lawrence Berkeley National Laboratory
- Location: Berkeley, CA
- Job Number: 7299706
- Posting Date: 1 month ago
- Salary / Pay Rate: $8,321-$10,418 / month
- Application Deadline: Apr 30, 2025
Job Description
Machine Learning Postdoc and High Performance Computing - 103557
Division: AM-Applied Mathematics and Computational Research
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division has an opening for a Postdoctoral Fellow to join the team.
In this exciting role, you will conduct fundamental and applied research in the use of AI/ML for the generation and transpilation of accurate, distributed memory, high-performance computations on GPU-accelerated supercomputing platforms.
What You Will Do:
• Leverage AI/ML including existing large language models (LLMs) to generate (prompt-based) or transpile (source to source) distributed-memory, high-performance computations targeting GPU-accelerated supercomputing platforms.
• Augment such technologies and techniques to maximize performance and scalability, maintain numerical properties, and enhance readability and maintainability.
• Publish and present research results in high-impact journals and top conferences in the areas of machine learning and parallel computing.
What is Required:
• PhD degree, within the last 3 years, in Computer Science, Computational Sciences, Applied Mathematics, or a related technical field.
• Proficiency in C and/or C++ programming language.
• Proficiency in one or more of the parallel libraries/languages such as MPI, OpenMP, CUDA.
• Experience with one or more large language models (LLM)
• Experience in one or more of the popular scripting languages such as Python.
• Experience in optimization of HPC on multicore or GPU-accelerated architectures.
• Ability to publish in top journals and conferences.
• Ability to conduct research in a highly collaborative environment.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Software engineering tools such as make and git.
We invite everyone to apply, but for full consideration, please apply by April 30, 2025, with an anticipated start date of October 1, 2025.
Notes:
• This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• The monthly salary range for this position is $8,321-$10,418 and is expected to start at $8,321 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
• This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Postdoc Benefits: https://postdocresources.lbl.gov/benefits
• Work may be performed on-site, hybrid, or full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=297289 and follow the on-line instructions to complete the application process.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity Links:
Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law - "Know Your Rights" (https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf) and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: AM-Applied Mathematics and Computational Research
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division has an opening for a Postdoctoral Fellow to join the team.
In this exciting role, you will conduct fundamental and applied research in the use of AI/ML for the generation and transpilation of accurate, distributed memory, high-performance computations on GPU-accelerated supercomputing platforms.
What You Will Do:
• Leverage AI/ML including existing large language models (LLMs) to generate (prompt-based) or transpile (source to source) distributed-memory, high-performance computations targeting GPU-accelerated supercomputing platforms.
• Augment such technologies and techniques to maximize performance and scalability, maintain numerical properties, and enhance readability and maintainability.
• Publish and present research results in high-impact journals and top conferences in the areas of machine learning and parallel computing.
What is Required:
• PhD degree, within the last 3 years, in Computer Science, Computational Sciences, Applied Mathematics, or a related technical field.
• Proficiency in C and/or C++ programming language.
• Proficiency in one or more of the parallel libraries/languages such as MPI, OpenMP, CUDA.
• Experience with one or more large language models (LLM)
• Experience in one or more of the popular scripting languages such as Python.
• Experience in optimization of HPC on multicore or GPU-accelerated architectures.
• Ability to publish in top journals and conferences.
• Ability to conduct research in a highly collaborative environment.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Software engineering tools such as make and git.
We invite everyone to apply, but for full consideration, please apply by April 30, 2025, with an anticipated start date of October 1, 2025.
Notes:
• This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• The monthly salary range for this position is $8,321-$10,418 and is expected to start at $8,321 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
• This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Postdoc Benefits: https://postdocresources.lbl.gov/benefits
• Work may be performed on-site, hybrid, or full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=297289 and follow the on-line instructions to complete the application process.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity Links:
Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law - "Know Your Rights" (https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf) and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
