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Temporary Machine Learning Postdoc Jobs in New York

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 ...

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 ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53.90K - $73.20K/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 ...

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 ...

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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Temporary Machine Learning Postdoc information

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

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

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

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

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 cities in New York are hiring for Temporary Machine Learning Postdoc jobs? Cities in New York with the most Temporary Machine Learning Postdoc job openings:
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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1831