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Temporary Machine Learning Postdoc Jobs in Harrison, NJ

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$78K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Chemical ... machine learning. Expectations Candidates will be responsible for: * Developing multi-scale ...

New York University

Post Doctoral Associate

New York, NY · On-site

$64K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Department ... of machine learning and AI. A strong record of publications and communication skills are also ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... researchers to join our team as Postdoctoral Scholars to work on NIH-funded research in ... A major component of this work will rely on applying machine learning methods to large-scale ...

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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:
Temporary Machine Learning Postdoc jobs near you
Postdoctoral researcher in AI for Science in M2LInES - Generative Models for Dynamical Systems (NYU

Postdoctoral researcher in AI for Science in M2LInES - Generative Models for Dynamical Systems (NYU

New York University

New York, NY • On-site

$62K - $94K/yr

Full-time

Posted 13 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
M2LInES is seeking a full-time Postdoctoral Researcher to join our team at NYU Courant Institute School of Mathematics, Computing, and Data Science. In collaboration with Profs Carlos Fernandez-Granda, Joan Bruna, Laure Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts.
The postdoc will be expected to lead independent research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2LInES https://m2lines.github.io.
The position, available immediately, is a full-time appointment, initially for one year, with the possibility of renewal for 2 years, subject to satisfactory performance and available funding.
In compliance with NYU's Pay Transparency Act, the annual base salary range for this position is $62,500 - $94,000. NYU considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer quality, as well as market and organization considerations.
Qualifications
Qualifications:
  • Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline.
  • Experience:
    • Expertise in developing and training AI models
    • Proficiency in Python
    • Experience with HPC (GPUs preferred)
  • Related Skills and Other Requirements
    • Ability to work at the interface of AI and science/engineering problems
    • Ability to lead, develop, and contribute to multiple projects in a fast-paced environment;
    • Ability to work independently and collaboratively as part of an interdisciplinary team;
    • Outstanding written and oral communication skills
    • Technical and scientific curiosity
    • A solid record of relevant publications and software appropriate to their career stage

Application Instructions
For full consideration, applicants should submit via Interfolio, the following by April 20th (Earlier applications are strongly encouraged):
  • a cover letter (no more than 2 pages) detailing 1) their research experience, 2) future research plans and how they would fit our project, and 3) available start date,
  • a Curriculum Vitae (no more than 2 pages)
  • A list of publications and software repositories
  • 3 confidential letters of recommendation.

Applications are reviewed only if you have fulfilled the requirements above, and submitted to Interfolio.
For additional information, please contact m2lines@nyu.edu.

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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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