Research Associate

New York University•Brooklyn, NY

About The Position

The Quantum Geometric Intelligence (QGI) Lab at New York University’s Tandon School of Engineering is hiring a full-time Research Associate to work with Prof. Nizar Touzi. The role focuses on developing a machine learning prototype model using Python and C++. The position is expected to last eight months, with an expected start date of December 1, 2026. The annual base salary is $48,000, depending on the candidate’s experience and qualifications. Candidates must be eligible to work in the United States.

Requirements

  • At least a master’s degree in computer science, engineering, or a related field.
  • At least 2 years of experience.
  • A demonstrated background in machine learning research, exemplified by a strong publication record.
  • Previous experience with Python and C++.
  • Eligibility to work in the United States.

Responsibilities

  • Review scientific literature and identify machine learning methods and algorithms suitable for the project’s research objectives.
  • Translate research methods into functional Python and C++ code, including model components, training procedures, and evaluation routines.
  • Prepare and process datasets, including cleaning and transformation, and create training, validation, and testing sets.
  • Design and conduct computational experiments to train and validate the prototype, compare it with baseline methods, and analyze accuracy, robustness, and computational efficiency.
  • Test, debug, and optimize the implementation to improve reliability, execution speed, and memory usage, and refine the prototype based on experimental findings.
  • Maintain organized, version-controlled source code and technical documentation covering the implementation, experimental procedures, results, and reproducibility instructions.
  • Participate in regular research meetings, present progress and findings, identify technical challenges, and coordinate next steps.
  • Contribute to technical reports, research manuscripts, presentations, and prototype demonstrations communicating the project’s methods and results.
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