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Weekend Machine Learning Postdoc Jobs in New York

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62.50K - $67.50K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering NYU Tandon ... Conducting advanced research in machine learning and data analytics for power system operation and ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$72.50K - $80K/yr

This Postdoctoral Research Fellowship position will focus primarily on using biomedical data science and machine learning methodologies to explore cardiovascular disease phenotypes in the Mount Sinai ...

Nokia

Fiber Sensing PostDoc

Murray Hill, NJ

Preferred 3+ years of professional or postdoctoral technical experience in the field of optical ... Machine Learning : Strong practical experience with state-of-the-art machine learning tools and ...

Nokia

Fiber Sensing PostDoc

Murray Hill, NJ

Preferred 3+ years of professional or postdoctoral technical experience in the field of optical ... Machine Learning : Strong practical experience with state-of-the-art machine learning tools and ...

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Weekend Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the most commonly searched types of Machine Learning Postdoc jobs in New York? The most popular types of Machine Learning Postdoc jobs in New York are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in New York? For Weekend Machine Learning Postdoc jobs in New York, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in New York look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in New York are:
What cities in New York are hiring for Weekend Machine Learning Postdoc jobs? Cities in New York with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in New York as of May 2026, with employment types broken down into 1% Locum Tenens, 58% Full Time, 36% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, and 16% Remote job distribution.
POSTDOCTORAL ASSOCIATE

POSTDOCTORAL ASSOCIATE

New York University

New York, NY • On-site

$62.50K - $67.50K/yr

Full-time

Posted 28 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

92nd of 529 rated colleges and universities

Job description

Description
POSTDOCTORAL ASSOCIATE
New York University Tandon School of Engineering
NYU Tandon School of Engineering is seeking to hire one or more Postdoctoral Associates to work in the area of machine learning and data analytics for smart grids in Prof. Yuzhang Lin's research group at NYU Tandon School of Engineering.
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. Prof. Yuzhang Lin's research group in the Department of Electrical and Computer Engineering conducts cutting-edge research in modeling, situation awareness, and cyber-physical resilience of smart power grids with machine learning applications.
Expectations
Candidates will be responsible for:
  • Conducting advanced research in machine learning and data analytics for power system operation and planning;
  • Support externally funded projects by developing algorithms and software, performing validation and demonstration using real-world datasets, and delivering project milestones and deliverables;
  • Publish research outcomes in top-tier journals and conferences, prepare project reports and presentations, and assist in grant proposal development;
  • Supervise and mentor graduate students in their research activities.

Successful candidates will have a demonstrated background in the following areas, as exemplified by a strong publication record:
  • Modeling, monitoring, control, and simulation of power systems;
  • Innovation and application of deep learning in power systems;
  • Strong academic writing, oral communication, and team collaboration skills.

In addition, previous experience in any of the following areas is a plus but not required:
  • Cyber-physical power systems
  • Detection and estimation theory
  • Optimization algorithms
  • Federated learning
  • Multimodal machine learning
  • Large language models
  • Power system visualization and software development

Salary range
In compliance with NYC's Pay Transparency Act, the annual base salary range for these positions will be $62,500 - $67,500 depending on the candidate's experience and qualifications
Qualifications
Candidates should have a PhD in Electrical Engineering or a related field by the start date of the position. We welcome applicants with recent PhDs and individuals seeking additional postdoctoral training. Candidates will be required to present eligibility to work in the United States.
Application Instructions
Applicants should submit, as one pdf, the following information:
  • an up-to-date CV that includes a complete list of publications, research experiences, work experiences, honors and awards, and skills related to coding, simulation, software, and hardware.
  • a research statement that describes their interest and goals and how their research relates to this position,
  • transcripts from all degrees earned or to be earned,
  • a Ph.D. certificate (if the degree has already been awarded)
  • copies of up to three relevant scientific papers,
  • names and contact information for three references.

All application materials should be submitted electronically via Interfolio and to: yuzhang.lin@nyu.edu.
Review of applications will begin as soon as possible and will continue until the position is filled. The start date for this position s January 1st, 2026 but an earlier start date may be considered as well.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Year founded

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