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Temporary Machine Learning Postdoc Jobs in Harrison, NJ

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Department ... machine learning as exemplified by a strong publication record. Previous experience on applied and ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

The successful postdoc will lead epidemiology and computational investigations of how these ... Biology, Machine Learning, or Bioinformatics, with relevant previous work and interest in ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

This PostDoc position is available with Dr. Rosalind Wright's research group at the Icahn School of ... Biology, Machine Learning, or Bioinformatics, with relevant previous work and interest in ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

This PostDoc position is available with Dr. Rosalind Wright's research group at the Icahn School of ... Biology, Machine Learning, or Bioinformatics, with relevant previous work and interest in ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Postdoc fellows may work on many of the cutting-edge research areas at Mount Sinai, including: • ... machine-learning/deep-learning methodology research with application to biomedical data. • ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Postdoc fellows may work on many of the cutting-edge research areas at Mount Sinai, including: • ... machine-learning/deep-learning methodology research with application to biomedical data. • ...

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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 cities near Harrison, NJ are hiring for Temporary Machine Learning Postdoc jobs? Cities near Harrison, NJ with the most Temporary Machine Learning Postdoc job openings:
Post Doctoral Associate

Post Doctoral Associate

New York University

New York, NY • On-site

$65K/yr

Full-time

Posted 15 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

97th of 544 rated colleges and universities


Job description

Description
POSTDOCTORAL ASSOCIATE
New York University Tandon School of Engineering
The Department of Mechanical and Aerospace Engineering at the NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work with Professor Katepalli R. Sreenivasan.
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 research group where the position resides is internationally known for its work in fluid dynamics, one of its recent activities being quantum computation of fluid dynamics (QCFD).
Expectations
Candidates will be responsible for the QCFD work. The successful candidate will have a demonstrated background in fluid dynamics, quantum physics, and machine learning as exemplified by a strong publication record. Previous experience on applied and computational mathematics is desired.
Salary range
In compliance with NYC's Pay Transparency Act, the initial annual base salary for this position is $65,000.
Qualifications
Candidates should have a PhD in Engineering or a related field. We welcome applicants with recent PhDs and individuals seeking additional Physics 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,
  • a research statement that describes their interest and goals and how their research relates to this position,
  • 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 krs3@nyu.edu
Review of applications will begin as soon as possible and will continue until the position is filled. The earliest expected start date is January 5, 2026.

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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