Internship: Decentralized Data Assimilation

Mitsubishi Electric Research Laboratories

Cambridge (MA)

On-site

USD 66,960 - 89,280

Full time

14 days+

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Benefits offered by this job

Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
Health insurance coverage after 90 days

Job summary

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.
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