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

Traversal

AI Engineer - Product Engineer

New York, NY · On-site

$150K - $300K/yr

Data and Infrastructure: Own efficient storage, retrieval, and processing across PostgreSQL, Redis, Kafka, and S3, in support of agents operating on large-scale time-series and topological data.

Rutgers University

Postdoctoral Associate

Newark, NJ · On-site

$20K/wk

The Postdoctoral Associate will lead or co-lead data analyses and play a key role in the dissemination of research findings through peer-reviewed publications and conference presentations. Depending ...

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

$20K/wk

Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category ... data to clinical outcomes. * Take a lead role in communicating the results of neuroimaging and ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Data resources include (a) Access to >8 million patient records in the Mount Sinai Data Warehouse ... Please send inquiries to amy.kontorovich@mountsinai.org with "Postdoc position" in the subject and ...

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

As of Sep 1, 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:

Postdoc In Topological Data jobs near you
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.

Quantum Topological Qubit Integration

GlobalFoundries

New York, NY • On-site

$85K - $146K/yr

Full-time

Re-posted 25 days ago

GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

66th of 545 rated manufacturers

Job description

Quantum Topological Qubit Integration - Principal Engineer
About GlobalFoundries
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
Introduction
The Topological Qubit Integration (Principal Engineer) role is a key technical contributor within the Quantum Technology Solutions organization focused on enabling scalable topological quantum computing platforms. This position supports the integration of advanced materials, device architectures, and semiconductor process technologies required for topological qubits, bridging emerging device concepts with manufacturable semiconductor solutions. This role works closely with integration leadership and cross-functional teams to translate quantum device requirements into practical, scalable process integration schemes aligned with performance, yield, and reliability targets.
Summary of Role
As a Principal Engineer, this role contributes to the development and execution of semiconductor integration strategies for topological qubit systems. The engineer will focus on integrating III V materials, superconducting films, and topological device structures with semiconductor processes, including BEOL interconnect and heterogeneous integration. The position emphasizes hands-on technical execution, data-driven problem solving, and cross-functional collaboration to enable robust and scalable quantum hardware platforms.
Essential Responsibilities
  • Support integration of topological quantum devices, including III-V heterostructures, superconducting materials, and hybrid material systems
  • Develop and execute process integration flows across device modules, BEOL interconnect, and heterogeneous integration schemes
  • Work with epitaxy and materials teams to ensure integration of III-V layers, superconductors, and interfaces meets device performance requirements
  • Contribute to integration of device architectures supporting qubit operation as well as cryogenic read-out and control circuitry
  • Analyze device and process interactions, including defectivity, variability, contamination, and interface quality
  • Execute DOE (Design of Experiments) and analyze electrical and physical characterization data to guide process optimization
  • Support development of superconducting interconnect and low-loss BEOL wiring for operation at cryogenic temperatures
  • Collaborate with device engineering to ensure alignment between device physics requirements (e.g., coherence, noise, thermal performance) and integration
  • Participate in yield-learning activities, including root-cause analysis and corrective action implementation
  • Contribute to definition and tracking of technical milestones, including performance, variability, and reliability metrics
  • Work cross-functionally with process, materials, packaging, and design enablement teams to ensure successful end-to-end integration
  • Document integration flows, assumptions, and technical learnings to support scalable development and knowledge transfer

Other Responsibilities:
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications
  • BS or MS in Electrical Engineering, Physics, Materials Science, or related field
  • 5+ years of experience in semiconductor process or integration engineering
  • Experience with semiconductor device physics and materials interactions
  • Familiarity with advanced materials systems (e.g., III-V semiconductors, superconductors, or related materials)
  • Experience analyzing electrical or physical characterization data
  • Strong analytical, problem-solving, and debugging skills
  • Effective communication skills

Preferred Qualifications
  • Experience with epitaxial growth or III-V heterostructures (e.g., MBE, MOCVD)
  • Background in superconducting or hybrid semiconductor devices
  • Familiarity with topological quantum devices or related research areas
  • Experience with BEOL integration, interconnect technologies, or packaging
  • Experience with cryogenic device behavior and measurements.
  • Experience with DOE methodologies, yield analysis, or variability modeling
  • Experience working in advanced R&D or emerging technology environments

Expected Salary Range
$85,000.00 - $146,000.00
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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