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Applied Math Research Jobs (NOW HIRING)

The SCDS has teaching and research strengths in artificial intelligence, data science ... Ph.D. in Applied Mathematics, Mathematics, Actuarial Science, or a related field. * 3 years of ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

Applied Mathematics Tutor

OR · Remote

$18 - $40/hr

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

... research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with applied mathematics ... curricula and common challenges such as translating physical problems into mathematical ...

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Applied Math Research information

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$22.5K

$58.8K

$94.5K

How much do applied math research jobs pay per year?

As of Sep 4, 2026, the average yearly pay for applied math research in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is an applied math research?

An Applied Math Research job involves using mathematical theories, models, and computational techniques to solve real-world problems in various fields like engineering, finance, healthcare, and technology. Researchers apply advanced mathematical methods to analyze data, optimize systems, and develop predictive models. They often collaborate with scientists, engineers, and analysts to provide mathematical solutions to complex challenges.

What kinds of projects do professionals in applied math research typically work on?

Applied Math Researchers often work on projects such as optimizing operational systems, developing models for data analysis, or solving industry-specific challenges in fields like finance, engineering, logistics, or healthcare. These roles frequently involve both independent analysis and collaboration with multidisciplinary teams, requiring researchers to explain mathematical solutions to non-specialists. Depending on the industry, you might contribute to new product development, process improvements, or risk assessments. The work is dynamic, with each project presenting unique problems and ample opportunities to make a measurable impact. This diversity ensures continual learning and the chance to broaden your expertise in various applied domains.

What are the key skills and qualifications needed to thrive in applied math research, and why are they important?

Success in Applied Math Research requires a solid background in advanced mathematics, statistical analysis, and often a graduate degree in mathematics or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with mathematical modeling software are commonly expected. Strong analytical thinking, problem-solving abilities, and effective communication skills are also essential for conveying complex results to diverse audiences. These skills are crucial because they allow professionals to develop practical mathematical solutions for real-world challenges while collaborating across teams and disciplines.

More about Applied Math Research jobs

What cities are hiring for Applied Math Research jobs?

Cities with the most Applied Math Research job openings:

What states have the most Applied Math Research jobs?

States with the most job openings for Applied Math Research jobs include:

Infographic showing various Applied Math Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Research Intern, Generative AI & World Modeling

FUTUREWEI TECHNOLOGIES INC

Basking Ridge, NJ • On-site

Internship

Posted 9 days ago


Job description

Changing the world and user experiences through learned world knowledge is at the core of our team's mission. We are seeking a Research Intern with a strong foundation in statistics and applied mathematics to work alongside a diverse group of researchers. In this role, you will conduct fundamental research that bridges rigorous mathematical theory with state-of-the-art applications in machine learning, computer vision, computer graphics, and physical AI.


What You'll Do

  • Fundamental Research: Leverage statistics, probability theory, and applied math to develop novel algorithms for machine learning (ML), computer vision (CV), and computer graphics (CG).
  • Innovation & Prototyping: Translate core mathematical and statistical insights into scalable algorithms and open-source prototypes.
  • Academic Impact: Publish groundbreaking work in top-tier machine learning, computer vision, and computer graphics conferences and journals (e.g., NeurIPS, ICML, CVPR, and SIGGRAPH).

Requirements:

  • Ph.D. candidate with a strong background in statistics, probability, continuous optimization, linear algebra, or differential equations, with a passion for applying fundamental theory to real-world problems
  • Proven hands-on experience with SOTA machine learning algorithms, especially with generative machine learning and/or fine-tuning of LLMs/LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or TensorFlow.
  • Deep knowledge and hands-on experience in computer vision and computer graphics are a plus.
  • Strong programming skills in Python or C / C++ for Windows and/or Linux are required.
  • Experience in working with open-source software frameworks is a plus
  • Self-motivated, detail-oriented team player
  • Good verbal and written communication skills

Duration of the job: 3-6 months

Employment Type: Intern