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Theoretical Computer Science Internship Jobs in Elgin, IL

Hire, mentor and manage software engineers and interns from the Computer Science department Coordinate development projects across distributed teams Actively engage with our R&D group to explore new ...

Hire, mentor and manage software engineers and interns from the Computer Science department Coordinate development projects across distributed teams Actively engage with our R&D group to explore new ...

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Theoretical Computer Science Internship information

See Elgin, IL salary details

$9

$17

$23

How much do theoretical computer science internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for theoretical computer science internship in Elgin, IL is $17.11, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $18.99 per hour, depending on experience, location, and employer.

What types of projects do interns typically work on during a theoretical computer science internship?

During a Theoretical Computer Science Internship, interns often work on projects involving algorithm design, computational complexity, graph theory, or cryptography. These projects may include analyzing and improving existing algorithms, developing proofs of concept, or researching open problems under the guidance of senior researchers. Interns usually collaborate closely with other interns and full-time researchers, participate in regular group meetings, and are encouraged to present their findings. The work is generally research-oriented and may involve reading academic papers, writing reports, and sometimes contributing to publications.

What are the key skills and qualifications needed to thrive as a theoretical computer science intern, and why are they important?

To thrive as a Theoretical Computer Science Intern, you need a strong background in mathematics, algorithms, and discrete structures, often supported by coursework in computer science or mathematics. Familiarity with programming languages (such as Python or C++), LaTeX for documentation, and version control systems like Git is typically expected. Analytical thinking, problem-solving, and effective written communication are standout soft skills for this role. These skills are crucial for tackling complex theoretical problems, collaborating on research, and clearly presenting findings in both academic and professional environments.

What is a theoretical computer science internship?

A Theoretical Computer Science Internship is a temporary position, typically for students or recent graduates, focused on research and problem-solving within the foundational areas of computer science. Interns in this role explore topics such as algorithms, computational complexity, cryptography, and formal methods. They often work on mathematical proofs, theoretical models, or simulations under the guidance of experienced researchers or faculty. The internship provides valuable experience in academic research, logical reasoning, and advanced problem-solving, preparing participants for further study or research-oriented careers.

What is the difference between Theoretical Computer Science Internship vs Data Science Internship?

AspectTheoretical Computer Science InternshipData Science Internship
Required CredentialsTypically requires computer science or related degrees, strong math backgroundRequires statistics, programming, and data analysis skills
Work EnvironmentResearch labs, academic settings, tech companies focusing on algorithms and theoryBusiness, tech companies, analytics firms working on data modeling and insights
Industry UsageAcademic research, R&D departments, tech industryBusiness analytics, marketing, finance, tech industry

Theoretical Computer Science Internships focus on algorithm development, computational theory, and mathematical foundations, often in research or academic settings. Data Science Internships emphasize data analysis, machine learning, and practical application of statistical methods in business or tech environments. While both require strong programming skills, their core focus and industry applications differ significantly.

What are popular job titles related to Theoretical Computer Science Internship jobs in Elgin, IL? For Theoretical Computer Science Internship jobs in Elgin, IL, the most frequently searched job titles are:
What job categories do people searching Theoretical Computer Science Internship jobs in Elgin, IL look for? The top searched job categories for Theoretical Computer Science Internship jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Theoretical Computer Science Internship jobs? Cities near Elgin, IL with the most Theoretical Computer Science Internship job openings:

Quantitative Research Intern (PhD) - Summer 2027

IMC

Chicago, IL โ€ข On-site

$250K/yr

Full-time, Temporary, Internship

PTO

Re-posted 7 days ago


Job description

Our 10-week internship is your chance to experience life as a Quant Researcher at IMC. You will work alongside your mentor to explore new research ideas and build custom analysis tools that may be deployed into production. Throughout the summer, there will be opportunities to enhance your knowledge of options theory, market making, algorithm complexity and trades analysis. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full time Graduate Quant Researcher position at the end of the program. Where you go from here is up to you!
Your Core Responsibilities:
  • Team up with Quant Researchers to work on real projects that have potential to impact our business
  • Enhance your understanding of options theory through classroom-based instruction
  • Develop your research skills with support and feedback from a dedicated mentor and intern lead
  • Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork
  • Engage in professional development sessions aimed at helping you envision your future at IMC
  • Attend a full-schedule of events and social activities to get to know your cohort and current employees

Your Skills and Experience:
  • Current university student graduating between September 2027 - July 2028 that is pursuing a PhD degree in Mathematics, Engineering, Statistics, Physics, Computer Science, or another highly quantitative field
  • Superior numerical, analytical, and critical thinking skills
  • Has a passion for research and solving complex problems
  • A creative thinker who is driven, resilient, and eager to develop trading intuition
  • Experience in a programming language (Python, C, C++) is highly desired
  • Must be able to start internship in-person on June 7, 2027

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role.If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $250,000
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.