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Computational Mathematics Remote Jobs in Minnesota

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Critically evaluate and review physics solutions, mathematical derivations, and theoretical ...

Computational Mathematics Remote information

What is computational mathematics in a remote job setting?

Computational mathematics in a remote job involves using mathematical models, algorithms, and computational techniques to solve complex problems, often in science, engineering, or finance, while working from a location outside a traditional office. Remote computational mathematicians typically use computer programming, numerical analysis, and simulations to analyze data or develop software tools. The remote aspect allows professionals to collaborate with teams and access resources virtually, making the role flexible and accessible from anywhere with a reliable internet connection.

What are some common challenges faced by remote computational mathematics professionals, and how can they be addressed?

Remote computational mathematics professionals often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication on complex mathematical concepts, and the need for reliable access to powerful computational resources. To overcome these challenges, it's important to leverage collaborative tools like version control systems, video conferencing, and shared code repositories. Regular virtual meetings and clear documentation also help maintain effective teamwork and ensure everyone stays aligned on project goals.

What are the key skills and qualifications needed to thrive as a computational mathematician in a remote role, and why are they important?

To thrive as a Computational Mathematician remotely, you typically need strong mathematical modeling, analytical skills, and a degree in mathematics, applied mathematics, or a related field. Proficiency in programming languages such as Python, MATLAB, or R, and experience with numerical simulation tools are often required. Excellent problem-solving, time management, and clear virtual communication skills help distinguish top performers in remote environments. These competencies are vital for solving complex problems, collaborating across locations, and efficiently delivering results in distributed teams.

What is the difference between Computational Mathematics Remote vs Data Scientist Remote?

AspectComputational Mathematics RemoteData Scientist Remote
Required CredentialsMathematics, Computer Science degrees, programming skillsStatistics, Mathematics, Programming, often a related degree
Work EnvironmentResearch-focused, algorithm development, modelingData analysis, machine learning, business insights
Industry UsageAcademia, research labs, tech companiesTech, finance, healthcare, e-commerce
Search & Comparison IntentFocus on mathematical modeling and algorithmsFocus on data analysis and predictive modeling

Computational Mathematics Remote roles primarily involve mathematical modeling, algorithm development, and research, often requiring advanced degrees in mathematics or related fields. Data Scientist Remote positions focus on analyzing data, building predictive models, and deriving insights, typically requiring skills in statistics and programming. While both roles involve data and programming, their core focus and industry applications differ.

What are popular job titles related to Computational Mathematics Remote jobs in Minnesota?

For Computational Mathematics Remote jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Computational Mathematics Remote jobs in Minnesota look for?

The top searched job categories for Computational Mathematics Remote jobs in Minnesota are:

What cities in Minnesota are hiring for Computational Mathematics Remote jobs?

Cities in Minnesota with the most Computational Mathematics Remote job openings:

Computational Physics Specialist - Remote

micro1 AI

Minneapolis, MN • Remote

$80 - $140/hr

Part-time

Posted 15 days ago


Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).