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Postdoc In Topological Data Jobs (NOW HIRING)

The Pennsylvania State University

... a postdoc position in the areas of superconducting hybrid devices involving superconductors with graphene and topological thin film materials. The successful candidate will lead in thin film ...

Traversal

AI Engineer - Product Engineer

Manhattan, NY · On-site

... and topological data. Qualifications : Required : • 4+ years of software engineering experience, with a strong focus on full-stack systems. • Proven ability to lead in fast-paced startup ...

Washington University of St. Louis

... data in an appropriate manner. Expected to follow lab timings, help other lab members and maintain cordial relations. Primary Duties & Responsibilities: Information on being a postdoc at WashU in St.

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

As of Jul 29, 2026, the average hourly pay for postdoc in topological data in the United States is $33.07, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $39.18 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, and why are they important?

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.
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Infographic showing various Postdoc In Topological Data job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,795 per year, or $33.1 per hour.

USSF Modeling, Simulation and Analysis SME

Sigmatech, Inc.

Arlington, VA • On-site

Full-time

Re-posted 9 days ago

Job description

Sigmatech, Inc. is seeking Modeling, Simulation, and Analysis (MSA) SME for our customer site in Arlington, VA. This position will support the US Space Force (USSF) Directorate of Force Design and Analysis (SF/S9). The Deputy Chief of Space Operations for Space Analysis assists the Secretary of the Air Force (SecAF), other Secretariat offices, and the Chief of Space Operations (CSO) developing the USSF vision and capability needs; champion the advancement of emerging technologies; employ advanced technologies to digitally transform the USSF; assure USSF digital infrastructure and Information Technology (IT) needs are met; effectively manage USSF data; and coordinate, synchronize, and conduct analysis supporting the Office of the Chief of Space Operations staff.  The MSA SME will identify, develop, and evaluate MSA tools to assess the enterprise-level mission and joint mission thread effectiveness of space force baseline and excursion architectures.  In addition, they will apply DoW Mission Engineering principles to all enterprise-level assessments and conduct Cost as an Independent Variable Analysis on the various viable alternatives.  Finally, they will integrate the various MSA assessments to evaluate enterprise resource questions.

Responsibilities:

  • Modeling & Simulations and Analytics (MS&A) identification, development, application, assumptions and limitations
  • Support as member of a contractor team working alongside a broader team of government and contract staff
  • Understand customer strategy/force planning requirements, adjusting analytical efforts to meet those requirements, and effectively communicating results
  • Leverage MS&A to assess future candidate concepts and capabilities to address operations gaps and meet future requirements
  • Enterprise-level operational and readiness analysis, analyzing operational impacts of the space portfolio, evaluating requirements, operational planning, exercises/war games
  • MS&A to support fully burdened future concepts development, defensive cyberspace operations, weapon system sustainment, force generation to include visualization creation to communicate objective force impacts and address operational gaps
  • Utilizing studies and analyses, make recommendations regarding the military utility, feasibility, and affordability of the concepts and capabilities under study
  • Familiarity with the POM cycle and PPBE process to apply analysis to inform budget priorities
  • Ability to coordinate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives 
  • Generate metrics and solutions for specific technical analysis in a mission relevant timeframe
  • Apply techniques for approaching complex problems with large amounts of data
  • Apply operations research techniques and supporting skills such as database query languages, design of experiment and response surface methodologies, scripting language programming, and development of appropriate models and simulations. 
  • Apply the results of methodologies associated with artificial intelligence such as neural nets, deep nets, topological data analysis, and reinforcement learning
  • Adept at breaking complex problems into manageable elements and identifying candidate solutions for each
  • Ability and motivation to expand their knowledge of various analytic tools and techniques and are expected to seek out opportunities to improve processes and share knowledge with the broader analytic community



    Required Skills and Experience: 

    • Bachelor's Degree in Operations Research, Mathematics, Probability, Statistics, or other technical degree requiring substantial competence in college-level mathematics or statistics
    • 10 years or more analytic experience
    • Experience with Statistics, Error Analysis, Data Confidence, Data Regression, Mission Engineering and System Architecture
    • JFOS, JMTs, Force Design (DoW, Space Force, and Service Organization)
    • Understanding of Operations Research, System of Systems (SoS) Engineering, Astrodynamics, Satellites, Cost as an independent variable / ROI Assessments
    • Clarity of strategic, operational, and tactical levels; national, enterprise, campaign, mission, system/scenario
    • Scientific Method experience with an understanding of what analysis is and isn't
    • Comfortable with methodologies associated with artificial intelligence such as neural nets, deep nets, topological data analysis, and reinforcement learning
    • Adept at breaking complex problems into manageable elements and identifying candidate solutions for each
    • Familiarity with machine learning and associated applications
    • Ability and motivation to expand their knowledge of various analytic tools and techniques and are expected to seek out opportunities to improve processes and share knowledge with the broader analytic community
    • Experience in the research, analysis, and application of operations research techniques to more than one problem type
    • Excellent oral and written communication skills
    • An active TS/SCI clearance is required

    Preferred Skills and Experience:

    • Master's Degree in Operations Research, Mathematics, or Statistics
    • 15-20 years of experience
    • Experience within the DoD or as a Defense Contractor working as an analyst
    • Experience conducting combat modeling simulation and analysis
    • Experience using AFSIM, STORM, SEAS, or other related models
    • Strong quantitative and analytic abilities to integrate and analyze data
    • Knowledge of Python, Tableau, and experience with Palantir products (Foundry), SAS, SPSS, Java, Tableau, MS Office & VBA
    The salary range for this role is $200,000 to $220,000; however, Sigmatech considers several factors when extending an offer, including but not limited to, experience, education/training, key skills, location and often contractual requirements.

    EEO employer