Post Doctorate RA
4 weeks ago
Responsibilities
The Data Sciences & Machine Intelligence group in the Advanced Computing, Mathematics, and Data Division at PNNL seeks a multifaceted Post Doctorate RA Data Scientist to join the group to lead and support research in scientific machine learning, data-driven control, and robotics. This is an excellent opportunity to hone and develop a scientific career in an outstanding research institution by joining an interdisciplinary research team that focuses on accelerating scientific discovery. The candidate must be adept at collaborating with interdisciplinary technical teams through strong communication and interpersonal skills.
Develop novel scientific machine learning methods for a wide range of applications in sustainable energy and robotics. Develop and maintain high quality software for scientific machine learning projects. Publish the research in high impact journals and scientific conferences. Lead and contribute to the publication and presentation of results in high impact scientific computing journals and conferences, and sponsoring agencies. Mentor and train graduate and undergraduate interns.Qualifications
Minimum Qualifications:
Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.Preferred Qualifications:
Ph.D. in Computer Science, Data Science, Applied Mathematics, Computer Engineering, or a closely related technical area. Strong skills in selected areas of applied mathematics (e.g., dynamical systems, control theory, constrained optimization, or machine learning theory). Proficiency in Python language and data science packages (e.g., Numpy, SciPy, Matplotlib). Proficiency in modern machine learning libraries (e.g., Pytorch, Tensorflow, JAX). Experience with modern scientific machine learning methods (e.g., neural operators, physics-informed neural networks, learning to optimize, learning to control). Proficiency with software version control systems (Git). Publications in scientific conferences such as NeurIPS, ICML, ICLR, AAAI, CDC, IROS, and journals such as Automatica, IEEE Transactions, and Journal of Machine Learning Research. Experience with Robot Operating System (ROS). Expertise with a broader range of programming languages is a plus (e.g., C/C++, JavaScript). Experience with constrained optimization tools (e.g., CasADi, CVXPY, JuMP).Hazardous Working Conditions/Environment
Not applicable
Additional Information
Not applicable
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