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Internship Linear Algebra Jobs (NOW HIRING)

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

... of linear algebra and calculus. • Enjoy digging into 'why' things work (or don't) and aren't ... internship experience in high-performance computing (HPC) or neuromorphic systems. • ...

Comfort with linear algebra * Experience with web development (especially TypeScript / Vue ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

Comfort with linear algebra * Experience with web development (especially TypeScript / Vue ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

Comfort with linear algebra * Experience with web development (especially TypeScript / Vue ... End-of-internship demo day * Paid vacation Compensation The pay range for this position is $35 ...

... internships, work experience, coding competitions, and/or research projects and papers. - Strong ... linear algebra, calculus, and probability. - Proficient in reading and coding in Python and/or C ...

... internships, work experience, coding competitions, and/or research projects and papers. - Strong ... linear algebra, calculus, and probability. - Proficient in reading and coding in Python and/or C ...

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Internship Linear Algebra information

What is the difference between Internship Linear Algebra vs Data Analyst?

AspectInternship Linear AlgebraData Analyst
Required CredentialsBasic knowledge of linear algebra, often student or entry-levelDegree in statistics, mathematics, or related field; some certifications
Work EnvironmentAcademic, research labs, or tech companies; project-basedBusiness settings, corporate offices, or consulting firms
Industry UsageResearch, academia, machine learning, data scienceBusiness intelligence, marketing, finance, operations
Search & Comparison IntentUnderstanding entry-level roles involving linear algebra conceptsComparing roles in data analysis and related fields

Internship Linear Algebra typically involves foundational work in linear algebra concepts within academic or research environments, often as a stepping stone for further studies or careers in data science. Data Analysts focus on interpreting data to inform business decisions, requiring additional skills in statistics and data visualization. While both roles involve data and mathematical skills, their work environments and career paths differ significantly.

What is an Internship in Linear Algebra?

An Internship in Linear Algebra is a temporary position, typically for students or recent graduates, that provides hands-on experience applying linear algebra concepts in real-world settings. Interns may work on projects involving data analysis, machine learning, scientific computing, or engineering tasks that require knowledge of vectors, matrices, and linear transformations. These internships help individuals gain practical skills, build their resume, and explore career opportunities in fields that value mathematical and analytical abilities.

What are the key skills and qualifications needed to thrive as an Internship Linear Algebra, and why are they important?

To thrive in a Linear Algebra internship, you need a solid grasp of linear algebra concepts, mathematical problem-solving abilities, and often enrollment in or completion of a relevant degree program. Familiarity with technical tools such as MATLAB, Python (with libraries like NumPy), or Mathematica, as well as experience with data analysis software, is often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are essential for applying mathematical concepts to real-world problems and contributing meaningfully to research or projects.

What kinds of projects or tasks are typically assigned to interns specializing in Linear Algebra?

Interns focusing on Linear Algebra often work on tasks that involve applying mathematical concepts to real-world problems, such as data analysis, algorithm development, or simulation modeling. You may be asked to assist with optimizing machine learning models, performing matrix computations, or supporting research teams by developing code for numerical experiments. Collaboration with data scientists, engineers, and senior mathematicians is common, providing opportunities to learn from experienced professionals. These experiences give interns valuable exposure to both theoretical and applied aspects of linear algebra in a professional setting.
More about Internship Linear Algebra jobs
What cities are hiring for Internship Linear Algebra jobs? Cities with the most Internship Linear Algebra job openings:
What are the most commonly searched types of Linear Algebra jobs? The most popular types of Linear Algebra jobs are:
What states have the most Internship Linear Algebra jobs? States with the most job openings for Internship Linear Algebra jobs include:
Infographic showing various Internship Linear Algebra job openings in the United States as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 65% Physical, and 35% Remote job distribution.
Instructional Term Faculty (Open Rank)

Instructional Term Faculty (Open Rank)

George Mason University

Fairfax, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


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Job description

Instructional Term Faculty (Open Rank)
  • 10003714
  • Fairfax, VA
  • Instructional Faculty
  • Opening on: Jan 30 2026
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Department: College of Science

Classification: 12-month Instructional Faculty

Job Category: Instructional Faculty

Job Type: Full-Time

Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)

Location: Fairfax, VA

Workplace Type: On Site Required

Sponsorship Eligibility: Eligible for visa sponsorship

Salary: Salary commensurate with education and experience

Criminal Background Check: Yes

Works with Minors check: Yes

About the Department:

The Mathematical Sciences Department offers undergraduate, Master's, and Ph.D. programs in pure, applied, and computational mathematics. Research across a variety of disciplines is strengthened through collaborations with local government/industry partners and nearby universities. High-quality teaching and community engagement is achieved through innovative strategies including extensive outreach work, active learning, hands-on undergraduate research, and graduate internships.
George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination, harassment, and retaliation throughout our STEM community. At Mason Science, our values include cultivating an organizational culture that promotes belonging, respect, and civility. We believe that varied opinions, cultures, and perspectives are what provides vibrancy, innovation, and growth to an academic community. By prioritizing cultural responsiveness in academics, teaching, research, and global engagement, we strive to attract faculty and staff who exemplify the Mason Science mission and vision.

About the Position:

The position will teach four (4) undergraduate courses in the academic year with two (2) in the fall semester and two (2) in the spring semester (lower and upper level such as Calculus, Discrete Mathematics, Linear Algebra, and Differential Equations) each semester and provide some service duties associated with the department's undergraduate degree. Teaching one (1) course during the summer session may be required depending on the level of other summer duties.
This is a state-funded, full-time (12-month) instructional (non-tenure-track) faculty position. The position is renewable contingent upon satisfactory performance. Anticipated Start Date: Summer 2026.

Responsibilities:

Instruction/Teaching

  • Teaches four (4) undergraduate courses with two (2) in the fall semester and two (2) in the spring semester (lower and upper level) each semester such as Calculus, Discrete Mathematics, Linear Algebra, and Differential Equations; and
  • Teaches one additional course in the summer term.

Service

  • Coordinates courses;
  • Mentors students; and
  • Serves on departmental committees.

Additional Assignment Responsibilities

  • Manages the recruitment, hiring, and supervision of approximately 50 undergraduate Mathematics Learning Assistants (LAs);
  • Coordinates scheduling, facilitate weekly LA preparation meetings, and handle personnel management (mentoring and disciplinary actions);
  • Organizes and leads Summer Boot Camps and STEM Bridge programs (planning occurs during Spring; execution during Summer contract); and
  • Serves as the instructor of record for a Math LA Pedagogy Seminar (or equivalent training course) as needed. Note: This additional assignment is an "at-will" appointment.

Required Qualifications:

  • Master's degree in Mathematics, or equivalent coursework such as a Master's degree in Education with an undergraduate degree in Mathematics;
  • Experience teaching mathematics in a university setting;
  • Clear understanding of curriculum design, pedagogy, and learning outcome alignment;
  • Exceptional communication skills;
  • Genuine interest in nurturing the academic growth of students from diverse backgrounds;

Additional Assignment has the following Required Education and Experience:

  • Minimum of three years of mathematics teaching experience at the college/university level as the instructor of record.

Preferred Qualifications:

  • Ph.D. degree in mathematics, or expect to receive one by Summer 2026;
  • Demonstrated experience and interest in inquiry-based learning, active learning and/or other interactive classroom instructional models;
  • Demonstrated experience with course design and/or curriculum development;
  • Experience providing organized leadership in an educational or professional settings;
  • Extensive professional experience in industry;
  • Experience in group-based teaching methods;
  • Demonstrated strong pedagogical skill set; and
  • An interest in teaching Data Science, Actuarial Sciences, or Cryptography.

Additional Assignment has the following Preferred Education & Experience:

  • Five years of teaching experience at the college/university level as the instructor of record; and
  • Applicants who can demonstrate instructional leadership, particularly experience managing Learning Assistant (LA) programs or administering summer undergraduate programs, are encouraged to apply.

Instructions to Applicants:

For full consideration, applicants must apply for Instructional Term Faculty (Open Rank) at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a cover letter, resume, three letters of recommendation and a teaching philosophy statement.

Important Note to applicants regarding 3 Letters Of Recommendation: Three letters of recommendation are required to be considered. These should primarily discuss teaching and leadership qualifications. Letters of recommendation (LORs) should not be submitted with your application. When asked for a LOR during the application process, please upload a blank Microsoft Word document with text stating that the LORs will be emailed to the address provided. Please have recommenders email LORs directly to math@gmu.edu. Please add the following in the subject line: STEM LOR for [Your Name Here]; Example: STEM LOR for Mary Mason.

Posting Open Date: January 30, 2026

For Full Consideration, Apply by: February 12, 2026

Open Until Filled: Yes


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