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Mathematical Modeling Postdoc Jobs in Manhattan, NY

QCi

Postdoctoral Researcher in Quantum Optics

Hoboken, NJ · On-site

$126K/yr

Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our ... mathematical modeling and numerical simulation of photonic or quantum systems. - Proficiency in ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K/yr

... postdoctoral training. Candidates will be required to present eligibility to work in the United States. The successful candidate will have a demonstrated background in mathematical modeling, data ...

Rutgers University

Postdoctoral Associate

Piscataway, NJ · On-site

$63K/yr

The successful candidate will develop theoretical and numerical models that connect the physical ... D. in Earth and planetary sciences, geophysics, astrophysics, applied mathematics, or a closely ...

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Mathematical Modeling Postdoc information

What does a mathematical modeling postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are the key skills and qualifications needed to thrive as a mathematical modeling postdoc?

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.

What are some common challenges faced by mathematical modeling postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What are popular job titles related to Mathematical Modeling Postdoc jobs in Manhattan, NY?

For Mathematical Modeling Postdoc jobs in Manhattan, NY, the most frequently searched job titles are:

What cities near Manhattan, NY are hiring for Mathematical Modeling Postdoc jobs?

Cities near Manhattan, NY with the most Mathematical Modeling Postdoc job openings:

Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in Manhattan, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Researcher in Quantum Optics

QCi

Hoboken, NJ • On-site

$126K/yr

Contractor

Re-posted 20 days ago

Job description

Location: Hoboken, NJ
Department: Technology, R&D
Reports to: CTO
About Us
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description
We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi's entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi's next-generation computational technologies.
Duties and Responsibilities
- Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing.
- Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design.
- Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions.
- Contribute to algorithm-hardware co-design by identifying opportunities where photonic implementations provide competitive advantages.
- Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi.
- Publish and present research outcomes in journals and conferences.
Required Skills and Experience
- PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics.
- Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics.
- Strong background in mathematical modeling and numerical simulation of photonic or quantum systems.
- Proficiency in scientific programming languages such as Python, MATLAB, or C++.
- Demonstrated research record with publications in leading journals.
- Strong communication skills and ability to work collaboratively across interdisciplinary teams.
Preferred Qualifications
- Familiarity with quantum information science, quantum computing, or related computational approaches.
- Experience with integrated photonics, waveguide-based systems, or light-matter interaction models.
- Knowledge of statistical physics approaches to open quantum systems and noise modeling.
- Industry, government, or academic R&D experience in quantum technologies.
- Experience mentoring junior researchers or working in collaborative project teams.
Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

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