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Postdoc In Topological Data Jobs in State College, PA

Penn State University

Postdoctoral Fellow

University Park, PA · On-site

$47K - $65K/yr

Postdoctoral fellows will work with a mentor team from a group of 20+ Penn State faculty with ... in conducting research and data analysis on child maltreatment research or related area. Start date ...

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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 State College, PA is $32.35, according to ZipRecruiter salary data. Most workers in this role earn between $23.99 and $38.32 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 State College, PA look for?

The top searched job categories for Postdoc In Topological Data jobs in State College, PA are:

What cities near State College, PA are hiring for Postdoc In Topological Data jobs?

Cities near State College, PA with the most Postdoc In Topological Data job openings:

Postdoc In Topological Data jobs near you
Infographic showing various Postdoc In Topological Data job openings in State College, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,281 per year, or $32.3 per hour.

Postdoctoral Scholar

Penn State University

University Park, PA • On-site

Full-time

Re-posted 27 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

234th of 627 rated colleges and universities

Job description

Job Summary:
Penn State University is seeking Postdoctoral Scholars in the Department of Mathematics through the Center for Computational Mathematics and Applications (CCMA). Successful candidates will engage in research in scientific computing, data science, and quantum information science, collaborating closely with faculty on advanced numerical methods and algorithms.
Responsibilities:
• Engage in research in scientific computing, data science, and quantum information science.
• Collaborate closely with CCMA faculty on cutting-edge research projects involving design, analysis and implementation of advanced numerical methods and algorithms in interdisciplinary applications.
• Possibility of an annual 1-1 teaching load.
Qualifications:
Required:
• Applicants must have completed a Ph.D. in mathematics, applied mathematics, or a closely related field such as statistics, computer science, physics, or engineering by the start date of employment.
• Strong expertise in one or more of the fields of scientific computing, data science, and quantum computing accompanied by strong programming skills are essential.
Company:
Penn State University is a public state-related research university with campuses and facilities throughout Pennsylvania. Founded in 1855, the company is headquartered in University Park, USA, with a team of 10001+ employees. The company is currently Late Stage.

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