Postdoctoral Researcher in Machine Learning for Weather Forecasting
1 week ago
We are seeking a highly motivated Postdoctoral Appointee to join our team at Argonne National Laboratory, a leading research center located near Chicago, Illinois.
Job DescriptionThis position will focus on developing and applying machine learning-based weather models for the subseasonal-to-seasonal (S2S) timeframe, with an emphasis on generative AI techniques. The successful candidate will collaborate with our team of scientists to extend the predictability of our state-of-the-art ML weather model, Stormer, and create a calibrated ensemble system for S2S at high resolution.
The ideal candidate will have expertise in deep learning, PyTorch or JAX, and scaling deep learning models to large GPU-based machines. They should also have technical knowledge of large, dynamical systems, preferably the atmosphere and/or ocean, and experience in data and model parallelisms for distributed training on large GPU-based machines.
Responsibilities- Contribute technical expertise through analysis and support for programs and projects associated with machine learning, HPC, and computational problems related to earth system science and other dynamical systems.
- Develop, evaluate, and apply machine learning/computational approaches, synthesis activities, computational tools, compiling results, preparing reports, publications, and documentation.
- Foster collaboration with our team of scientists to advance the field of weather forecasting.
To be considered for this role, candidates must have:
- A completed PhD in geophysical sciences, atmospheric science, computer science, or a related field.
- Experience in deep learning, PyTorch or JAX, and scaling deep learning models to large GPU-based machines.
- Technical knowledge of large, dynamical systems, preferably the atmosphere and/or ocean.
- Expertise in data and model parallelisms for distributed training on large GPU-based machines.
- Strong communication and teamwork skills.
Candidates with experience using diffusion-based or other generative AI methods, as well as experience in atmospheric science, especially weather modeling, are particularly sought after.
Additionally, experience in writing scientific code, effective problem-solving skills, organizational skills, and flexibility in coordinating a broad spectrum of activities are desirable.
BenefitsAs an equal employment opportunity and affirmative action employer, we offer a competitive salary range of $70,000 - $90,000 per year, commensurate with experience. We also provide excellent benefits, including health insurance, retirement savings plan, paid time off, and professional development opportunities.
How to ApplyPlease submit your application, including your resume, cover letter, and contact information for at least three professional references. We look forward to hearing from you
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