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Applied Mathematics Internships Jobs (NOW HIRING)

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

... internship opportunities. ARL/Penn State's purpose is to develop innovative solutions to ... Applied Mathematics, Data Science, or Physics are encouraged to apply. Experience or interest in ...

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Applied Mathematics Internships information

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How much do applied mathematics internships jobs pay per year?

As of Jul 14, 2026, the average yearly pay for applied mathematics internships in the United States is $65,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $67,500.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during an Applied Mathematics internship?

As an Applied Mathematics intern, you can expect to work on projects that involve data analysis, mathematical modeling, algorithm development, and simulation. Interns often collaborate with teams from engineering, data science, or software development, applying mathematical techniques to solve real-world problems such as optimizing business processes or analyzing large datasets. These projects provide hands-on experience with industry-standard tools and methodologies, and offer valuable insights into how mathematics drives innovation in various fields.

What are applied mathematics internships?

Applied mathematics internships are short-term, supervised work experiences where students or recent graduates use mathematical principles to solve real-world problems in industries such as finance, technology, engineering, and data science. Interns typically work on projects involving data analysis, modeling, simulation, optimization, or algorithm development. These internships provide practical experience, help build professional networks, and often serve as a stepping stone to full-time roles in related fields. They are valuable for gaining hands-on skills, understanding workplace dynamics, and exploring various career paths within applied mathematics.

What are the key skills and qualifications needed to thrive as an Applied Mathematics Intern, and why are they important?

To thrive as an Applied Mathematics Intern, you need a solid background in mathematics, statistics, and analytical problem-solving, usually supported by progress toward a relevant degree. Familiarity with programming languages such as Python, MATLAB, or R, and experience with data analysis tools are typically expected. Strong communication, teamwork, and adaptability help interns collaborate effectively and present complex findings clearly. These skills and qualities are essential for analyzing real-world problems, translating data into insights, and contributing to multidisciplinary projects.
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What cities are hiring for Applied Mathematics Internships jobs? Cities with the most Applied Mathematics Internships job openings:
What states have the most Applied Mathematics Internships jobs? States with the most job openings for Applied Mathematics Internships jobs include:
Quantum Calibrations Intern, Quantum Computing Services

Quantum Calibrations Intern, Quantum Computing Services

QuEra Computing, Inc.

Boston, MA โ€ข On-site

$16.25 - $21.75/hr

Other

Re-posted 24 days ago


Job description

Job Title: ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Intern, Quantum Calibrations, Quantum Computing Servicesย 
Job Type:ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Full-time, 3-6 months
Job Location:ย ย ย ย ย ย ย ย ย  Boston, MAย 
Reports to:ย ย ย ย ย ย ย ย ย ย ย  VP of Quantum Computing Servicesย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย 

Summary:ย ย 

QuEra is seeking motivated interns to join our growing team focused on developing the calibration and performance characterization framework for QuEra's neutral-atom quantum computers. As an intern, you will collaborate with physicists, software engineers, and hardware specialists to design benchmarking protocols, build physics-informed models of device behavior, and develop predictive tools for real-time qubit state evolution.

This internship offers a unique opportunity to gain hands-on experience at the interface of quantum hardware and data science, contributing to the development of calibration and performance characterization frameworks for scalable, reliable neutral-atom quantum computers.

This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters. The team's mission is to develop QuEra's neutral-atom technology into cutting-edge quantum computing products and services.

Core Responsibilities

  • Develop and test data analysis routines to fit, visualize, and interpret experimental data.
  • Design and execute device benchmarking and characterization experiments.
  • Build and apply Hamiltonian learning routines to infer effective system parameters from time-evolution data.
  • Develop predictive models for key performance metrics (gate fidelity, coherence, readout error) using time-series calibration history and machine learning methods.
  • Collaborate closely with physicists, engineers, and software developers to integrate your work into QuEra's operational stack.

Qualifications

Required

  • Foundational understanding of quantum mechanics and open quantum systems at the graduate level.
  • Experience designing and analyzing experiments involving quantum or physical systems
  • Strong programming skills in Python, including familiarity with libraries such as NumPy, SciPy, Pandas, and Matplotlib.
  • Enjoys hands-on experimentation, iteration, and uncovering structure in data.
  • Strong analytical, problem-solving, and communication skills.

Preferred

  • Familiarity with quantum gate characterization protocols (randomized benchmarking, process tomography, GST) and error budget decomposition.
  • Exposure to Hamiltonian learning, system identification, or quantum noise spectroscopy methods.
  • Experience applying machine learning (Gaussian processes, time-series models, or neural networks) to physical or experimental data.
  • Exposure to laboratory instrumentation, data acquisition, or experimental control systems.

Education & Experience

  • Currently pursuing or recently completed a Master's or PhD in Physics, Applied Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.