Summer 2026 Internship: Optimization for Operations Tech

GlobalHR

East Hartford (CT)

Hybrid

USD 37,000 - 82,000

Full time

14 days+

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Job summary

RTX Technology Research Center in East Hartford, CT is seeking a summer 2026 intern to join the Optimization team within ICPS. You will apply discrete optimization, deep learning for computer vision, and uncertainty quantification to real-world operations planning and scheduling problems.

The role requires pursuing a Master’s or PhD in a related field, with experience in Python, MATLAB, or C++, and Git. This internship offers exposure to industry collaboration and research dissemination.

Qualifications

  • Pursuing a Master’s or PhD in Operations Research, Computer Vision, Applied Mathematics, or a related field, with a graduation date no earlier than September 2026.
  • Experience with programming languages such as Python, MATLAB, or C++, and collaborative development tools like Git.

Responsibilities

  • Provide technical expertise in discrete optimization, constraint programming, deep learning for computer vision, reinforcement learning, uncertainty quantification, and advanced methods for operations planning, scheduling, and data analysis.
  • Apply skills to solve industrial problems and support externally and internally sponsored programs.
  • Write and contribute to external and internal research proposals.
  • Build and maintain relationships with industry, academia, and government agencies to foster business opportunities.
  • Disseminate research results through reports, conference proceedings, peer‑reviewed articles, and intellectual property development.

Skills

Python
MATLAB
C++
Discrete optimization
Uncertainty quantification
Constraint programming
Deep learning for computer vision
Communication skills

Education

Master’s or PhD in Operations Research, Computer Vision, Applied Mathematics

Tools

Git

Job description

RTX Technology Research Center in East Hartford, CT is seeking a summer 2026 intern to join the Optimization team within ICPS. You will apply discrete optimization, deep learning for computer vision, and uncertainty quantification to real-world operations planning and scheduling problems.

The role requires pursuing a Master’s or PhD in a related field, with experience in Python, MATLAB, or C++, and Git. This internship offers exposure to industry collaboration and research dissemination.

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