Part-Time Research Assistant - Farooque​/Saha – AI in Education Project

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.

We are seeking a part time research assistant to join an innovative project at the intersection of artificial intelligence and education. This project, led by Dr. Mahfuza Farooque in the School of EECS at Penn State, focuses on developing a personalized recommendation engine for microlearning content. The RA will play a key role in leveraging student performance data to deliver tailored learning experiences.

This position is a unique opportunity to contribute to cutting-edge research that can enhance student learning outcomes. Qualified applicants may include students or other individuals with relevant skills and interest in AI, data analysis, and educational technologies.

• Anticipated
  
  Start Date:
  
  10thApril
• End Date: 30thJune
• Weekly
  
  Hours:
  
  Maximum 15 hours per week per student
• Compensation: $18 per hour
• Location: Flexible (in-person at University Park, remote, or hybrid arrangement)

The research assistant will be involved in various aspects of the project’s development and evaluation.

Key responsibilities include:

• Data Analysis: Assist in collecting and analyzing student performance data to inform the recommendation engine.
• Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations.
• System Evaluation: Support the evaluation of the recommendation engine’s effectiveness (e.g. running experiments or user studies to assess learning outcomes).
• Documentation: Help document the system design, development process, and experimental results for project reports or publications.
• Collaboration: Work closely with the project lead and team, participating in regular meetings and brainstorming sessions.

This role offers hands-on experience in AI and data-driven education technology. The RA will have the flexibility to work on-site or remotelyas needed and will gain valuable experience on an interdisciplinary project that bridges computer science and learning science.

• Technical
  
  Skills:
  
  Familiarity with artificial intelligence/machine learning techniques and data analysis. Experience with programming (Python or similar) and handling educational data is a plus.
• Other
  
  Skills:
  
  Self-motivated with good communication skills. Ability to work independently and collaboratively in an interdisciplinary team.

Employment with the University will require successful completion of background check(s) in accordance with University policies.

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The ASR is available for review here.

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 .

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