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Temporary Machine Learning Postdoc Jobs in Newark, NJ

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

A postdoctoral position in bioinformatics/Biostatistics/data science is available at the Icahn ... machine learning to develop predictive models of diagnosis and prognosis, as well as a vehicle to ...

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

$20K/wk

... as machine learning and multivariate decoding of neuroimaging data to predict subjective ... Postdoctoral Associate will collaborate with the Principal Investigator and team to design, conduct ...

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 ...

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Temporary Machine Learning Postdoc information

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

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?

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 popular job titles related to Temporary Machine Learning Postdoc jobs in Newark, NJ? For Temporary Machine Learning Postdoc jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Newark, NJ look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Temporary Machine Learning Postdoc jobs? Cities near Newark, NJ with the most Temporary Machine Learning Postdoc job openings:
Temporary Machine Learning Postdoc jobs near you
Infographic showing various Temporary Machine Learning Postdoc job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Postdoctoral Associate (Coruzzi Lab)

New York University

New York, NY • On-site

Full-time

Re-posted 26 days ago

New York University rating

8.4

Company rating: 8.4 out of 10

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Job description

Description
The Coruzzi Lab is currently accepting applications for a Postdoctoral Associate position at NYU's Center for Genomics and Systems Biology.
Plant Systems Biology @ The Coruzzi lab: https://coruzzilab.bio.nyu.edu
The Coruzzi lab at NYU's Center for Genomics & Systems Biology has an open position for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist career path - with a future in Academe or Biotech. The position will provide a transition to career independence through the development of professional skills; supervision by senior scientist incorporating individual development plan in support of training goals and those of faculty mentor; and publication of research findings/scholarship during postdoc appointment period.
Overview: A major goal of systems biology is to model gene regulatory networks to accurately predict causal interactions between transcription factors (TF) and target genes. Our lab focus is on predictively modeling and validating gene regulatory networks involved in nitrogen (N) use in plants including the model Arabidopsis and crops, including maize and rice. We use time-series transcriptome N-response data and machine learning to learn causal networks using machine learning approaches. For high through put validation, we are using a plant cell-based assay called TARGET scaled up to cover TFs spanning all TF families in Arabidopsis, maize and rice. We aim to identify the master transcription factors in such networks that control NUE/WUE in plants, with a focus on ones conserved across genotypes within species and also across species. We follow-up with validation in planta including green house and field studies.
Location: NYU's Center for Genomics and Systems Biology is located at 12 Waverly Place, New York, NY 10003, in the historic and vibrant Greenwich Village in downtown Manhattan. NYU is one of the world's leading research universities and its Center for Genomics and Systems Biology is housed in a new, state-of-the-art facility with 27 faculty members who study Genomics and Systems Biology across all kingdoms of life. For more information on NYUs Genome Center, please go to http://cgsb.as.nyu.edu
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is 65-70K, depending on experience/expertise. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Qualifications
The successful applicant will hold a Ph.D. and have skills and experience in both Genomics and Bioinformatics. The position will require both experimental and computational skills for the generation and analysis of NextGen datasets - including RNA-Seq, Chip-Seq and Atac-seq and others. Computational proficiency in R, Perl, Python, or other programming language are strongly preferred. This position also includes training in the writing of grant applications and reports, paper writing and communicating our work in conferences and meetings.
Application Instructions
Please upload your application materials via Interfolio. Include the following items: 1) CV including a list of publications; 2) a cover letter; 3) three reference letters emailed to gloria.coruzzi@nyu.edu.

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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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