What are the responsibilities and job description for the Postdoctoral Appointee - Scientific Machine Learning for Surrogate Modeling and Power Grid Dynamics position at Argonne National Laboratory?
The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors of dynamical systems, which will be integrated into large-scale optimization frameworks to enhance the efficiency and reliability of power grid operations.
The Postdoctoral Appointee will be responsible for the conceptual framework, design, and implementation of these machine learning models, ensuring trustworthy computations and scalability on the DOE's leadership computing facilities. The focus will be on developing robust, scalable solutions that are computationally efficient and maintain accuracy within the operational constraints of real-world power systems.
Position Requirements
Required Skills and Qualifications :
- Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field.
- Strong proficiency in Python, with additional experience in C, C , or similar languages.
- Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by differential-algebraic equations.
- Experience with high-performance computing and the ability to scale models using distributed computing environments.
- Excellent oral and written communication skills for effective collaboration across multiple teams.
- Commitment to embodying the core values of impact, safety, respect, and teamwork in all endeavors.
Preferred Skills and Qualifications :
Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $70,758.00 - $117,925.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
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Salary : $70,758 - $117,925
