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Phd Internship Jobs (NOW HIRING)

Apple

Hardware Technologies PhD Internships

Washington, DC · On-site

$139K - $184K/yr

In this internship, you will have the opportunity to work among the best engineers in the world on ... Pursuing a PhD degree in Electrical Engineering, Computer Engineering, Electrical and Computer ...

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How much do phd internship jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for phd internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a PhD internship?

A PhD internship is a temporary, practical work experience designed specifically for doctoral students. It allows PhD candidates to apply their research skills and academic knowledge in a professional setting outside their university, typically in industry, government, or nonprofit organizations. These internships often help students explore career paths, develop new skills, and build professional networks. They can be paid or unpaid and usually last from a few months to a year, depending on the organization and the nature of the work.

What are the key skills and qualifications needed to thrive as a PhD intern?

To thrive as a PhD Intern, you need advanced research skills, subject matter expertise, and enrollment in a relevant doctoral program. Experience with data analysis software, programming languages, or specialized laboratory equipment is often required, depending on the field. Strong communication, problem-solving abilities, and adaptability help you collaborate effectively and navigate new challenges. These skills ensure you can contribute meaningfully to research projects while developing professionally in a real-world setting.

What are some common challenges PhD interns face when transitioning from academia to an industry internship?

PhD interns often encounter challenges adapting to the faster-paced, results-oriented environment of industry compared to academia. Unlike academic research, industry projects typically have strict deadlines and require regular collaboration with cross-functional teams, such as product managers or engineers. Adjusting communication styles, prioritizing tasks based on business impact, and learning new tools or workflows are common hurdles. However, these challenges also provide valuable experience in applying research skills to real-world problems and developing professional networks.

What is the difference between Phd Internship vs Research Assistant?

AspectPhd InternshipResearch Assistant
Required CredentialsEnrolled in PhD program or recent PhD graduateUndergraduate, Master's, or PhD students
Work EnvironmentAcademic labs, research institutions, industry R&DUniversities, research centers, labs
Employer & Industry UsageUniversities, research firms, corporate R&DUniversities, government agencies, private companies

Phd Internships are typically short-term positions for PhD students or recent graduates to gain industry experience, often with a focus on applied research. Research Assistants are usually students or early-career researchers supporting ongoing research projects, often within academic settings. While both roles involve research activities, internships emphasize industry exposure and skill development, whereas research assistantships focus on academic research contributions.

Can PhD students work internships?

Yes, PhD students can work internships, often to gain practical experience related to their research or future careers. Many internships are available in academia, industry, and research organizations, and they may require specific skills or certifications. Internships can be part-time or full-time and are typically scheduled around academic commitments.
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Phd Internship jobs near you
Infographic showing various Phd Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Machine Learning Internship - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Internship

Re-posted 11 days ago

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

About Susquehanna
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.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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