A leading technology research firm is seeking a highly qualified intern for a 3-month position focusing on decentralized data assimilation for large-scale systems. Ideal candidates are Senior Ph.D. students in relevant engineering fields with expertise in nonlinear estimation, machine learning, and programming in Julia or Python. Interns receive a stipend, travel coverage, and opportunities for professional development. This internship offers a flexible start date with a pay range of $6,000 to $8,000 per month.
Qualifications
Strong background in nonlinear estimation and control.
Experience with machine learning and optimization techniques.
Demonstrated expertise through peer-reviewed publications or equivalent experience.
Responsibilities
Conduct research on decentralized data assimilation for large-scale systems.
Study and develop efficient implementation of data assimilation algorithms.
Implement algorithms for complex systems governed by large-scale DAEs.
Skills
nonlinear estimation and control
Bayesian methods
machine learning
graph theory
optimization
Julia programming
Python programming
Education
Senior Ph.D. student in mechanical, electrical, chemical engineering, or related fields
Job description
A leading technology research firm is seeking a highly qualified intern for a 3-month position focusing on decentralized data assimilation for large-scale systems. Ideal candidates are Senior Ph.D. students in relevant engineering fields with expertise in nonlinear estimation, machine learning, and programming in Julia or Python. Interns receive a stipend, travel coverage, and opportunities for professional development. This internship offers a flexible start date with a pay range of $6,000 to $8,000 per month.