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Internship Phd Physics Jobs (NOW HIRING)

Susquehanna

Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied ...

Susquehanna

$8.6K/wk

PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics ... PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week ...

Susquehanna

$8.6K/wk

PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics ... PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week ...

Susquehanna

$8.6K/wk

PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics ... PhD quantitative systematic trading interns will receive a $8600 weekly base salary during the ten ...

Susquehanna

$8.6K/wk

PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics ... PhD quantitative systematic trading interns will receive a $8600 weekly base salary during the ten ...

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How much do internship phd physics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship phd physics 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 an internship PhD physics?

Internship PhD Physics positions are temporary roles designed for doctoral students in physics to gain practical experience in research, industry, or academia. These internships allow PhD candidates to apply their theoretical knowledge to real-world problems, collaborate with professionals, and develop valuable technical and professional skills. They often take place in research labs, universities, or private companies and can be critical for networking and career development. Such positions may also offer exposure to advanced equipment, interdisciplinary projects, and potential job opportunities after graduation.

What does an internship PhD physics do?

As a PhD Physics intern, you will typically work on research-driven projects that align with both your academic background and the organization's goals. Responsibilities may include designing experiments, analyzing complex datasets, developing simulation models, and presenting findings to your team. You'll often collaborate with senior scientists, engineers, and other interns, gaining exposure to interdisciplinary research and real-world problem-solving. These internships frequently offer opportunities to contribute to publications or patents, providing valuable experience for both academic and industry career paths.

What skills and qualifications are needed for an internship PhD physics?

To thrive as an Internship PhD Physics candidate, you need advanced knowledge in physics, strong analytical skills, and current enrollment in a relevant PhD program. Familiarity with simulation software, programming languages like Python or MATLAB, and data analysis tools is often required. Excellent problem-solving abilities, effective communication, and teamwork are essential soft skills. These competencies are important to successfully contribute to research projects, collaborate with multidisciplinary teams, and deliver impactful scientific results.

What is the difference between Internship Phd Physics vs Research Scientist Physics?

AspectInternship Phd PhysicsResearch Scientist Physics
Required CredentialsPhD candidate or recent PhD graduate in PhysicsPhD in Physics or related field
Work EnvironmentTemporary, training-focused, often in labs or research centersFull-time, permanent position in research labs, universities, or industry
Employer & Industry UsageUniversities, research institutes, tech companiesResearch institutions, government agencies, private sector R&D
Common Search & ComparisonYesYes

The main difference between an Internship Phd Physics and a Research Scientist Physics is the level of experience and employment status. Internships are typically short-term, training-focused positions for PhD students or recent graduates, while Research Scientist roles are permanent, full-time positions requiring advanced expertise. Internships provide hands-on experience, whereas Research Scientists lead ongoing research projects in their field.

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Internship Phd Physics jobs near you
Infographic showing various Internship Phd Physics job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% 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 20 hours ago

Key responsibilities

  • Conduct research and develop machine learning models to identify patterns in noisy, non-stationary data.

  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches.

  • Design and run experiments using the latest machine learning tools and frameworks.

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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