PhD Intern

Found in: Talent US 2 C2 - 4 days ago

Richland, United States Pacific Northwest National Laboratory Full time

Responsibilities



The Data Science and Machine Intelligence Group is seeking multiple PhD Interns in the broader area of scientific machine learning. The candidate should have experience with or interest in software development and management of scientific data in accordance with the FAIR principles. The candidate will contribute to the research and software development in the field of scientific machine learning. The emphasis will be given to design and implementation of novel scientific machine learning methods for constrained optimization, dynamical systems, and controls with a range of applications in the energy sector. The candidate must be adept at collaborating with interdisciplinary technical teams through strong communication and interpersonal skills.

Mathematical modeling Algorithms to solve complex problems Detailed mathematical analysis of variable relationships Parallel graph algorithms Applies mathematical principles to identify trends in data sets
Qualifications

Minimum Qualifications:

Candidates must be currently enrolled/matriculated in a PhD program at an accredited college Minimum GPA of 3.0 is required

Preferred Qualifications:

Degree in computer science or engineering Strong skills in selected areas of applied mathematics (e.g., linear algebra, dynamical systems, control theory, operations research, machine learning theory) Experience with modern scientific machine learning methods (e.g., Neural ODEs, PINNs, neural operators, learning to optimize, learning to control, graph neural networks) Proficiency in Python language (e.g., Numpy, Pandas, SciPy, Matplotlib) Proficiency in modern machine learning libraries (such as Pytorch or Tensorflow) Familiarity with constrained optimization tools (e.g., CVXPY, JuMP, Gurobi, CPLEX) Experience with bash and Slurm Workload Manager Publication record in scientific conferences such as NeurIPS, ICML, ICLR, AAAI, ACC, CDC, or IROS
Hazardous Working Conditions/Environment

Not applicable


Additional Information

Not applicable


Testing Designated Position

This is not a Testing Designated Position (TDP)


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