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Part Time Phd Statistics Jobs (NOW HIRING)

The Pennsylvania State University

AND POSITION REQUIREMENTS The College/Unit of IST is seeking applicants for part-time job of ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

NCAT

Part-Time Instructor | Mathematics

Greensboro, NC · On-site

The Department of Mathematics & Statistics offers degree programs in Pure Mathematics, Applied ... PhD program in Applied Science and Technology. The Department also offers two minor programs in ...

The Pennsylvania State University

$30/hr

Bachelor's Degree, Master's Degree (in-progress) or PhD (in progress) Schedule: * Hours variable ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

Opportunities, including full-time summer internships and part-time work throughout the school year ... Build data sets and conduct statistical analysis on the data. Requirements * Substantial progress ...

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What are the key skills and qualifications needed to thrive as a Part-Time PhD Statistician, and why are they important?

To thrive as a Part-Time PhD Statistician, you need advanced expertise in statistical theory, data analysis, and research methodology, typically supported by a PhD in Statistics or a related quantitative field. Proficiency with statistical software such as R, SAS, Python, or SPSS and experience with data visualization tools are commonly required. Strong communication, critical thinking, and time management skills help you explain complex results and balance multiple responsibilities. These abilities ensure high-quality analytical work, effective collaboration, and the capacity to contribute valuable insights in academic or industry settings.

What are some common challenges faced by part-time PhD Statistics candidates, and how can they manage these effectively?

Part-time PhD Statistics candidates often balance academic research with professional or personal commitments, which can make time management a significant challenge. Coordinating with advisors and accessing campus resources may require extra planning due to limited on-campus presence. To manage these challenges effectively, candidates should establish a clear schedule, maintain regular communication with supervisors, and leverage online collaboration tools. Building a support network among peers and faculty can also provide guidance and encouragement throughout the program.

What are part-time PhD programs in Statistics?

Part-time PhD programs in Statistics are doctoral degree tracks designed for students who wish to pursue advanced research and study while balancing other commitments, such as work or family. These programs typically offer flexible schedules, allowing candidates to complete coursework and research over an extended period compared to full-time study. Part-time PhD students engage in the same rigorous academic and research requirements as their full-time counterparts, but with more adaptable timelines. This pathway is ideal for professionals seeking to advance their careers or contribute to research without pausing their current employment.

What is the difference between Part Time Phd Statistics vs Part Time Data Analyst?

AspectPart Time Phd StatisticsPart Time Data Analyst
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentAcademic, research institutions, or specialized consultingBusiness, corporate, or tech companies
Employer & Industry UsageUniversities, research labs, government agenciesPrivate companies, finance, marketing, tech firms
Common Search & Comparison IntentAcademic research, advanced statistical analysisData interpretation, reporting, business insights

While a Part Time Phd in Statistics focuses on advanced research, theoretical development, and academic contributions, a Part Time Data Analyst applies statistical skills to analyze data for business decisions. Both roles require strong analytical skills, but differ in credentials, work environment, and industry focus.

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Part Time Phd Statistics jobs near you

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 12 days ago

Penn State University rating

8.0

Company rating: 8.0 out of 10

Based on 98 frontline employees who took The Breakroom Quiz

146th of 529 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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