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Postdoc In Topological Data Jobs in Berwyn, PA (NOW HIRING)

Postdoctoral Researcher

Swarthmore, PA · On-site

$55K - $65K/yr

Postdoctoral Researcher Job no: 495592 Work type: Limited Term Full Time Location: Swarthmore ... data (30%) * Write beamtime proposals and scientific research papers, and present research in ...

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Postdoc In Topological Data information

See Berwyn, PA salary details

$13

$31

$53

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

As of Aug 11, 2026, the average hourly pay for postdoc in topological data in Berwyn, PA is $31.73, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $37.60 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 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 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 job categories do people searching Postdoc In Topological Data jobs in Berwyn, PA look for? The top searched job categories for Postdoc In Topological Data jobs in Berwyn, PA are:
What cities near Berwyn, PA are hiring for Postdoc In Topological Data jobs? Cities near Berwyn, PA with the most Postdoc In Topological Data job openings:
Infographic showing various Postdoc In Topological Data job openings in Berwyn, 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 $66,001 per year, or $31.7 per hour.

Python Developer- Quant Core Data | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

$50.75 - $70/hr

Full-time

Re-posted 10 days ago


Job description

Overview
Overview
Join our Quant Core Data team to translate mathematical trading logic into high-performance code, and build and scale the data and backtesting infrastructure used by quantitative researchers and strategists. Our team produces data for studies to steadily improve trading behavior and strategies.
In this role, you will:
  • Translate mathematical trading logic into high-performance, optimized code
  • Build and maintain backtesting systems that simulate strategy behavior in production
  • Design and scale our historical data framework for efficiency and robustness
  • Build internal tools to create, analyze, and visualize large datasets
  • Build packages used by expert researchers to evolve our signal generation technology

What we're looking for
  • PhD (graduating by Summer 2026) or postdoc in a quantitative field (e.g., Math, Physics, Statistics, EE, CS, Operations Research, Economics)
  • Experience writing high-performance Python (Cython, pybind11, numba, or similar) and optimizing hot code paths
  • Strong Python data analysis skills (polars/pandas) for large datasets
  • Enthusiasm for data at scale, with strong attention to cleanliness and correctness
  • Comfort translating ambiguous research requirements into robust engineering solutions

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
What we do
We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.