Job Description

FULL TIME RESEARCH ASSOCIATE

New York University Tandon School of Engineering

The Quantum Geometric Intelligence (QGI) Lab at NYU Tandon School of Engineering is seeking to hire a Full time Research Associate to work with Prof. Nizar Touzi.

New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Department of Finance and Risk Engineering (FRE) at NYU Tandon School of Engineering is a leader in applied mathematics education and research, offering innovative courses and fostering strong industry connections.

Responsibilities

Candidates will be responsible for developing a machine learning prototype model using Python and C++. Working under the supervision of Prof. Nizar Touzi the Research Associate will perform the following duties:

• Review relevant 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 implementing model components, training procedures, and evaluation routines.
• Prepare and process datasets for model development, including data cleaning, transformation, and the creation of appropriate training, validation, and testing sets.
• Design and conduct computational experiments to train and validate the prototype, compare its performance against baseline methods, and analyze its 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 describing the implementation, experimental procedures, results, and instructions for reproducing the work.
• 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 that communicate the project’s methods and results.

The successful candidate will have a demonstrated background in machine learning research as exemplified by a strong publication record. Previous experience with Python and C++ is necessary.

Salary range

In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $48,000 depending on the candidate’s experience and qualification.

Expected start date and period of employment

Expected start date is: December 1, 2026 This position is expected to be for 8 months.

Qualifications

Candidates should have at least a MS in computer science, engineering, or a related field and 2 or more years of experience. Candidates will be required to present eligibility to work in the United States.

The successful candidate will have a demonstrated background in machine learning research as exemplified by a strong publication record. Previous experience on C++ is necessary.

Application Instructions

Applicants should submit the following information:

• Cover letter
• up-to-date CV that includes a complete list of publications,
• names and contact information for three references.
• Other additional information needed (e.g., research statement, publications)

All application materials should be submitted electronically via Interfolio and to: nizar.touzi@nyu.edu.

Review of applications will begin as soon as possible and will continue until the position is filled.

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NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

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