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Postdoc In Topological Data Jobs in Hoboken, NJ (NOW HIRING)

Postdoctoral Fellow in Chemistry Professor Rachel Austin is seeking a postdoctoral fellow to join ... Excellent data and materials management and note-booking skills * Creative problem-solving ...

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Postdoc In Topological Data information

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$15

$36

$61

How much do postdoc in topological data jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for postdoc in topological data in Hoboken, NJ is $36.19, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $42.88 per hour, depending on experience, location, and employer.

What is a postdoc in topological data?

A Postdoc in Topological Data is a researcher who has completed their PhD and is engaged in advanced research focused on the application of topology—an area of mathematics dealing with spatial properties—to analyze and interpret complex data sets. These positions typically involve both theoretical work and the development of computational tools to extract meaningful patterns from high-dimensional or complex data. Postdocs in this field often collaborate with interdisciplinary teams in mathematics, computer science, and applied domains such as biology or engineering. The role is intended to deepen expertise, publish research, and prepare for academic or research-intensive careers.

What are the key skills and qualifications needed to thrive as a postdoc in topological data?

To thrive as a Postdoc in Topological Data, you need a strong background in mathematics (particularly topology, algebra, and geometry), data analysis, and a PhD in a related field. Familiarity with computational tools like Python, R, MATLAB, and software libraries for topological data analysis (such as GUDHI or Ripser) is typically required. Exceptional problem-solving ability, collaboration, and strong scientific communication skills help distinguish top candidates in interdisciplinary research environments. These skills are crucial for advancing research, publishing high-quality work, and contributing effectively to collaborative scientific projects.

What are some typical collaborative opportunities for a postdoc in topological data within academic or research settings?

As a Postdoc in Topological Data, you can expect to collaborate closely with interdisciplinary teams, including mathematicians, computer scientists, and domain experts from fields like biology or materials science. Collaborative projects often involve developing or applying topological methods to analyze complex datasets, contributing both theoretical insights and computational tools. These interactions may include co-authoring research papers, participating in joint seminars, and working with graduate students. Such collaborations not only broaden your research impact but also help expand your professional network and skill set.

What job categories do people searching Postdoc In Topological Data jobs in Hoboken, NJ look for?

The top searched job categories for Postdoc In Topological Data jobs in Hoboken, NJ are:

Infographic showing various Postdoc In Topological Data job openings in Hoboken, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,268 per year, or $36.2 per hour.

$85K/yr

Full-time

Re-posted 28 days ago


Research Foundation of the City University of New York rating

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Job description

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY).
The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.
We are pleased that you are interested in exploring opportunities to join RFCUNY.
Primary Location:
The GRADUATE CENTER
Bargaining Unit:
Yes
Seeking a Postdoctoral Research Associate in the Ph.D. Program in Mathematics at the CUNY Graduate Center. The Postdoctoral Research Associate will work independently in any area of mathematics where large-scale computation, simulation, or data-driven methods play an essential role. The postdoc will have access to Empire AI and will be expected to utilize its substantial computational power in their research. The postdoc will be expected to design algorithms that scale efficiently on GPU clusters, manage distributed computation and storage, and develop analysis pipelines that connect the resulting data back to rigorous mathematics. We are interested in proposals that push the limits of current computational practice in their area - whether through very large simulations, massive combinatorial or statistical searches, or the use of large generative models guided by mathematical structures.
The postdoc will be supported by the rich intellectual environment at the CUNY Graduate Center which includes Mathematics, Physics, Computer Science, and the Initiative for Theoretical Sciences and is expected to engage with the broader mathematics community to enhance their research and professional development. Candidates are expected to prepare publications and conference talks. The start date is flexible but ideally will be around September 1, 2026.
- Conducts research activities with the mentorship of a CUNY faculty member.
- Performs research utilizing Empire AI
- Collaborates with internal and external researchers
- Adheres to relevant regulations and ethical conduct standards pertinent to the conduct of their research.
- Performs related duties as assigned
QUALIFICATIONS
Doctoral degree in Mathematics
Doctoral degree should be obtained within five years of appointment to this position.
PREFERRED QUALIFICATIONS
Experience with large-scale computation is desired.
Pay Range:
Minimum - Maximum: $85,000
RFCUNY Benefits
RFCUNY Employee Benefits and Accruals (link to https://www.rfcuny.org/RFWebsite)
About the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY's research and sponsored programs. RFCUNY's services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society's most pressing challenges.
RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY's research and sponsored programs.
Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

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