Part-Time Research Assistant, Multi-Agent Systems & Fairness

Penn State University; University Park (TX); Hybrid; USD 30,000 - 50,000; Part time

Job summary

Penn State University in University Park is offering a part-time research position focusing on multi-agent systems, algorithmic fairness, and matching markets. The ideal candidate will be experienced in algorithm design, technical analysis, and proficient in programming languages like Python or Java.

Flexibility and strong attention to detail are essential, as well as a commitment to confidentiality and punctuality. This role may involve hybrid work, but approvals depend on specific circumstances.

Qualifications

• Proficient in algorithm design and analysis.
• Proficient in technical analysis and mathematical proof writing.
• Proficient in one programming language, preferably Python or Java.

Responsibilities

• Focus on multi-agent systems, algorithmic fairness, and matching markets.

Skills

Algorithm design and analysis

Technical analysis

Mathematical proof writing

Proficiency in Python or Java

Understanding of game theory

Motivated and detail-oriented

Flexible and able to multi-task

Reliable and punctual

Job description

Penn State University in University Park is offering a part-time research position focusing on multi-agent systems, algorithmic fairness, and matching markets. The ideal candidate will be experienced in algorithm design, technical analysis, and proficient in programming languages like Python or Java.

Flexibility and strong attention to detail are essential, as well as a commitment to confidentiality and punctuality. This role may involve hybrid work, but approvals depend on specific circumstances.