Part-Time Research Assistant-Zhu

Penn State University

State College (Centre County)

On-site

USD 21,000 - 34,000

Part time

5 days ago
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Job summary

Penn State University is seeking a part-time instructional research assistant to support an AI-enhanced teaching project for RM 412 (Long-Term Actuarial Mathematics - Advanced Topics) under Dr. Nan Zhu.

This role involves developing AI learning agents, preparing reference materials, and benchmarking AI feedback for accuracy across platforms. The position emphasizes actuarial coursework familiarity, quantitative problem-solving skills, and interest in AI in education.

Qualifications

  • Completed RM 412 or an equivalent upper-level actuarial mathematics course.
  • Familiarity with actuarial modeling and quantitative problem solving.
  • Interest in generative AI applications for education.

Responsibilities

  • Assisting with the development and testing of custom AI learning agents for RM 412
  • Preparing and organizing course-specific reference materials for AI implementation
  • Developing benchmark cases and testing AI-generated feedback for accuracy and consistency
  • Comparing AI implementations across platforms (e.g., BoodleBox and ChatGPT Custom GPTs)
  • Documenting testing results and recommending improvements to agent design and student feedback

Skills

Familiarity with actuarial modeling
Interest in generative AI applications

Education

Completed RM 412 or equivalent upper-level actuarial mathematics

Job description

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Risk Management Department at the Smeal College of Business seeks to hire one individual to serve as a part-time instructional research assistant for Dr. Nan Zhu in support of an AI-enhanced teaching project for RM 412 ( Long-Term Actuarial Mathematics - Advanced Topics ).

Duties
  • Assisting with the development and testing of custom AI learning agents for RM 412
  • Preparing and organizing course-specific reference materials for AI implementation
  • Developing benchmark cases and testing AI-generated feedback for accuracy and consistency
  • Comparing AI implementations across platforms (e.g., BoodleBox and ChatGPT Custom GPTs)
  • Documenting testing results and recommending improvements to agent design and student feedback
Requirements and Qualifications
  • Completed RM 412 or an equivalent upper-level actuarial mathematics course
  • Familiarity with actuarial modeling and quantitative problem solving
  • Interest in generative AI applications for education
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.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports 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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