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Phd Statistics Internship Jobs (NOW HIRING)

... and PhD levels. Primary Responsibilities * Read and analyze academic research or other source ... Build data sets and conduct statistical analysis on the data. Requirements * Substantial progress ...

... your internship. Experience you'll bring: * Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.

Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ... A highly-competitive internship compensation package * Optiver-covered flights, living ...

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Phd Statistics Internship information

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How much do phd statistics internship jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for phd statistics 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 types of projects or research topics do PhD Statistics Interns typically work on during their internship?

PhD Statistics Interns are often assigned to projects that involve analyzing large datasets, developing or improving statistical models, and providing insights for data-driven decision-making. These projects can span a range of industries, including healthcare, finance, technology, or public policy, and may address real-world problems such as predictive modeling, experimental design, or survey analysis. Interns typically work closely with senior statisticians and cross-functional teams, allowing for hands-on experience and professional mentoring. The variety of projects helps interns build practical skills and expand their expertise, often contributing to publishable research or product development.

What are the key skills and qualifications needed to thrive in the Phd Statistics Internship position, and why are they important?

To thrive as a PhD Statistics Intern, you need advanced training in statistical theory, data analysis, and research methodology, typically evidenced by ongoing doctoral studies in statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or MATLAB, and experience with data visualization and database management platforms, are important technical assets. Strong analytical thinking, attention to detail, effective communication skills, and the ability to collaborate within multidisciplinary teams are important soft skills. These competencies are essential for effectively analyzing complex data, generating insights, and contributing to impactful research projects in a professional setting.

What is a PhD Statistics Internship job?

A PhD Statistics Internship is a temporary, research-focused position designed for doctoral students specializing in statistics or related fields. Interns work on data analysis, machine learning, or statistical modeling projects, often collaborating with researchers and industry professionals. These internships provide hands-on experience applying statistical methods to real-world problems, enhancing both technical and analytical skills. They can be in academia, government, or industry settings, such as technology, healthcare, or finance.

More about Phd Statistics Internship jobs
What cities are hiring for Phd Statistics Internship jobs? Cities with the most Phd Statistics Internship job openings:
What are the most commonly searched types of Phd Statistics jobs? The most popular types of Phd Statistics jobs are:
What states have the most Phd Statistics Internship jobs? States with the most job openings for Phd Statistics Internship jobs include:
Infographic showing various Phd Statistics Internship job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
College of IST Privacy/Security in LLM-Driven Agentic Systems PhD Internship w/ Dr. Sharma

College of IST Privacy/Security in LLM-Driven Agentic Systems PhD Internship w/ Dr. Sharma

Penn State University

University Park, PA • On-site

Part-time

Posted 19 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The College/Unit of IST is seeking applicants for part-time job of Privacy/Security in LLM-Driven Agentic Systems PhD Internship w/ Dr. Sharma
About the Project:
Governance, Privacy and Security Lab is conducting research at the intersection of security, privacy, and AI systems design. The goal of this project is to create a structured analysis of information flow in modular, LLM-driven agentic systems. The focus is on identifying security, privacy, and control failures that emerge when autonomous modules interact across loosely enforced system boundaries. We also would like to estimate the value of privacy and security in the agentic systems from users perspective.
Internship Role:
We are seeking a highly motivated PhD intern (part-time research role) to support the development of tools, models, and taxonomies that expose and mitigate vulnerabilities in LLM-driven agentic systems. You will work closely with team to:
  • Analyze modular architectures for unanticipated information flow
  • Formalize information flow motifs and their associated threat vectors
  • Assist in developing a layered threat model aligned with NIST Cybersecurity Framework principles
  • Apply causal tracing, influence tracking, and behavioral audit techniques to real-world agentic systems
  • Contribute to an academic paper and open-source tools

Qualifications:
  • Enrolled in a PhD program in Computer Science, Information Science, Cybersecurity, or related fields
  • Research experience in one or more of the following: LLMs, multi-agent systems, privacy/ security
  • Analytical and writing skills
  • Experience with LLM agent frameworks or security auditing tools is a plus

Apply:
Please apply to the position to be considered. Please upload a CV, and a sample publication or writing sample. Applications are reviewed on a rolling basis.
Compensation:
The starting rate for this job is $18, 20 hours/week.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging in all its forms. We embrace individual uniqueness, as well as a culture of belonging that supports both broad and specific equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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