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Phd Summer Internship Jobs (NOW HIRING)

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Phd Summer Internship information

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How much do phd summer internship jobs pay per hour?

As of Jul 30, 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 do PhD Summer Interns 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.

More about Phd Summer Internship jobs
What cities are hiring for Phd Summer Internship jobs? Cities with the most Phd Summer Internship job openings:
What are the most commonly searched types of Phd Summer jobs? The most popular types of Phd Summer jobs are:
What states have the most Phd Summer Internship jobs? States with the most job openings for Phd Summer Internship jobs include:
Infographic showing various Phd Summer Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $34,261 per year, or $16.5 per hour.

Algorithm Development (Quant Research & Trading) PhD Internship - Summer 2027

Hudson River Trading

New York, NY

Other

Posted 16 days ago


Job description

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies.

We trade on more than 200 markets around the world, across a variety of time horizons - offering ample opportunities to explore innovative, self-guided research and make a big impact on our business. Through this internship, you'll have the opportunity to rotate across teams, learning and collaborating alongside researchers and technologists that apply their passion and expertise to solving the most nuanced problems in our industry. 

What to Expect

  • Use advanced research experience and expertise to apply academic research to impactful real-world problems in trading across time horizons and machine learning strategies
  • Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
  • Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
  • Utilize our industry-leading compute cluster to run simulations and crunch data
  • Build predictive models for financial markets using a combination of market and non-market data
  • Attend and participate in Tech Talks that provide an overview of markets and HRT's trading philosophy
  • Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer

Qualifications

  • You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.)
  • Fluency in Python is a must
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • You're excited to apply your research expertise to identify new opportunities in worldwide markets  
    Strong communication skills

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD
Singapore: Weekly base salary of 7,650 SGD