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Phd Student Internship Jobs (NOW HIRING)

Penske

IT Internship (PHD Candidate)

Beachwood, OH · On-site

$14.50 - $19.25/hr

Eligible candidates must be full time College students in an accredited program. Successful ... Interns will be responsible for various assignments and projects related to their field of study ...

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SRI International

Intern

Menlo Park, CA

$40/hr

The goal of the summer internship will be to develop a reinforcement learning framework for ... Document the research ideas and publish an academic paper -Current PhD student majoring in Computer ...

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How much do phd student internship jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for phd student internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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

AspectPhd Student InternshipResearch Assistant
Required CredentialsEnrolled PhD student or equivalentTypically a graduate degree or current student in related field
Work EnvironmentAcademic or research institutions, labsUniversities, research centers, labs
Employer & Industry UsageUniversities, research organizations, industry R&DUniversities, government agencies, private sector
Common Search & Comparison IntentUnderstanding internship opportunities for PhD studentsLooking for research support roles in academia or industry

Phd Student Internships are typically short-term opportunities designed for enrolled PhD students to gain practical experience, often in academic or industry settings. Research Assistants usually hold a graduate degree or are current students supporting research projects. While both roles involve research activities, internships focus on training and exposure, whereas research assistant positions are more integrated into ongoing research work.

What are some common challenges PhD students face during internships, and how can they address them?

PhD student interns often encounter challenges such as adapting to a faster-paced, results-driven environment compared to academia, learning unfamiliar industry tools or processes, and aligning their research skills with practical business goals. To address these, it's helpful to proactively communicate with mentors, seek regular feedback, and be open to learning new methods. Building strong relationships with team members and staying flexible can greatly enhance both the learning experience and the overall impact of the internship.

What is a PhD Student Internship?

A PhD student internship is a temporary work placement that allows doctoral students to gain practical experience in industry, government, or non-academic research settings. These internships typically complement a student’s academic research by providing opportunities to apply their skills, learn new methodologies, and build professional networks. Internships can vary in duration and are often completed during the summer or as part of a research collaboration. They are valuable for career development and can help PhD students explore potential career paths beyond academia.

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

To thrive as a PhD Student Intern, you need a solid academic background in your field, strong research skills, and progress toward a doctoral degree. Familiarity with data analysis tools, laboratory techniques, or specialized software relevant to your discipline is typically required. Strong problem-solving ability, effective communication, and adaptability help you collaborate with teams and convey complex ideas. These skills ensure you can contribute meaningfully to research projects while gaining valuable professional experience.
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What cities are hiring for Phd Student Internship jobs? Cities with the most Phd Student Internship job openings:
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Phd Student Internship jobs near you
Infographic showing various Phd Student Internship job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Karen Clark & Company

Boston, MA • On-site

$25/hr

Other

Posted 12 days ago

Job description

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)
Karen Clark & Company (KCC) is seeking a qualified candidate for a 2026 internship with a term of at least 8 weeks. The selected candidate will work with the Model Development Team in-person in KCC's Boston office to support the development of advanced catastrophe reference models. In this position, you will work closely with other scientists and engineers to develop and manage the vulnerability module of KCC's catastrophe models. The internship is supervised by senior staff and provides hands-on experience working on real-world science and engineering problems in the catastrophe modeling industry.
Expected Pay: $25 per hour
About KCC
Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to (re)insurance company executives nationwide. These services enhance business strategies, and the financial results put our clients at a competitive advantage. KCC catastrophe models currently cover tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 50 countries. For more information, please visit www.kcc.us.com.
Qualifications
  • MS or PhD candidate in Structural Engineering, Civil Engineering, or a related field with focus on natural hazards (e.g., wind, flood, wildfire, earthquake)
  • Understanding of structural behavior and damage mechanisms under natural hazards
  • Familiarity with probabilistic methods and basic risk modeling concepts
  • Experience with numerical modeling or simulation (e.g., structural analysis, fragility/vulnerability modeling)
  • Proficiency in Python or similar language for data analysis; ability to work with and process large datasets
  • Strong analytical and problem-solving skills, with attention to detail
  • Clear technical communication skills (written and verbal)

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