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How much do phd summer internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for phd summer internship in the United States is $16.47, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What is a PhD summer internship?

A PhD summer internship is a temporary position, typically lasting 8-12 weeks during the summer, designed for doctoral students to gain practical work experience in their field of study. These internships provide opportunities to apply research skills in a professional setting, collaborate with industry or academic experts, and enhance career prospects. PhD summer internships can take place in universities, research institutes, government agencies, or private companies, and often involve working on specific projects relevant to the intern's area of research.

What are the key skills and qualifications needed to thrive as a PhD summer intern, and why are they important?

To thrive as a PhD Summer Intern, you generally need advanced research skills, strong analytical abilities, and current enrollment in a relevant doctoral program. Familiarity with specialized software, statistical tools, or laboratory equipment related to your field is often required. Excellent communication, collaboration, and adaptability help you contribute effectively to team projects and present your findings clearly. These skills and qualities are vital for making meaningful contributions during a short internship and for building a foundation for future academic or industry roles.

What types of projects does a PhD summer intern typically work on, and how are these projects selected?

PhD Summer Interns are usually assigned to projects that align with both their academic expertise and the organization's current research priorities. These projects often involve tackling real-world problems through independent research, data analysis, or the development of prototypes. Selection of projects is generally a collaborative process between the intern and their assigned mentor, ensuring both academic relevance and practical impact. Interns can expect to work in interdisciplinary teams, contributing fresh perspectives while gaining hands-on experience in applying their research skills to industry challenges.

What is the difference between Phd Summer Internship vs Research Assistant?

AspectPhd Summer InternshipResearch Assistant
Required CredentialsEnrolled PhD student or recent graduateTypically enrolled in or recent graduate of a relevant degree program
Work EnvironmentTemporary, project-based, often in industry or academiaOngoing research projects, academic or lab setting
Employer & Industry UsageUniversities, research institutes, corporationsUniversities, research labs, academic institutions
Common Search & ComparisonYesYes

Both Phd Summer Internships and Research Assistant roles involve research skills and academic credentials. Internships are typically short-term, project-focused positions in industry or academia, aimed at gaining practical experience. Research Assistant positions are often longer-term, supporting ongoing research projects within academic or research institutions. The main difference lies in duration, purpose, and setting, with internships offering a more exploratory experience and research assistant roles providing continuous research support.

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What job categories do people searching Phd Summer Internship jobs look for? The top searched job categories for Phd Summer Internship jobs are:
Phd Summer Internship jobs near you
Infographic showing various Phd Summer Internship job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 32% Full Time, 58% Part Time, 1% Temporary, 7% Contract, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $34,261 per year, or $16.5 per hour.

Quantitative Research Internship - PhD: Summer 2027

Susquehenna International Group

Bala Cynwyd, PA • On-site

Other

Posted 9 days ago

Job description

Quantitative Research Intern

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect:

  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

What we're looking for:

  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

Apply