University Of Michigan
Research Assistant - Large Language Model (Student Temp)
University Of Michigan, Dearborn, Michigan, United States, 48120
Research Assistant - Large Language Model (Student Temp)
Apply through http://careers.umich.edu/ (click on “APPLY NOW” box on the upper right corner of this page). Applications will only be accepted from graduate students. Please include your resume and a short statement describing your coding experience and interest in the project.
Job Summary A graduate student is sought for assistance on a faculty research project with Dr.Karishma Patnaik. Students are paid bi‑weekly at an hourly rate determined by the faculty project sponsor. The anticipated start date will begin on January 5, 2026.
Responsibilities Perform routine research tasks, including library research; participate in group observation activities; administer questionnaires and conduct interviews; take part in experiments; collect, analyze, code, and tabulate data; set up and operate laboratory programming operations; perform other duties as assigned or requested by the direct supervisor.
Specific activities for this project include:
Develop and test a specific game framework that connects to a Large Language Model (LLM).
Implement basic game logic, dialogue, and user interaction.
Work with Dr. Patnaik's research team to evaluate the game.
Required Qualifications Self‑motivation and willingness to learn new applications and the ability to work independently.
Good organizational and documentation skills for keeping track of data and multiple analysis steps.
Proficient in Microsoft Word, PowerPoint, internet search engines, and mobile devices.
Technical skills required for this position:
Working knowledge of Python.
Interest in AI, machine learning, or game design.
Ability to work independently and meet milestones.
Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
E-Verify The University of Michigan participates with the federal EVerify system. Individuals hired into positions that are funded by a federal contract with the FAR EVerify clause must have their identity and work eligibility confirmed by the EVerify system. This position is identified as a position that may include the EVerify requirement.
U-M EEO Statement The University of Michigan is an equal employment opportunity employer.
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Job Summary A graduate student is sought for assistance on a faculty research project with Dr.Karishma Patnaik. Students are paid bi‑weekly at an hourly rate determined by the faculty project sponsor. The anticipated start date will begin on January 5, 2026.
Responsibilities Perform routine research tasks, including library research; participate in group observation activities; administer questionnaires and conduct interviews; take part in experiments; collect, analyze, code, and tabulate data; set up and operate laboratory programming operations; perform other duties as assigned or requested by the direct supervisor.
Specific activities for this project include:
Develop and test a specific game framework that connects to a Large Language Model (LLM).
Implement basic game logic, dialogue, and user interaction.
Work with Dr. Patnaik's research team to evaluate the game.
Required Qualifications Self‑motivation and willingness to learn new applications and the ability to work independently.
Good organizational and documentation skills for keeping track of data and multiple analysis steps.
Proficient in Microsoft Word, PowerPoint, internet search engines, and mobile devices.
Technical skills required for this position:
Working knowledge of Python.
Interest in AI, machine learning, or game design.
Ability to work independently and meet milestones.
Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
E-Verify The University of Michigan participates with the federal EVerify system. Individuals hired into positions that are funded by a federal contract with the FAR EVerify clause must have their identity and work eligibility confirmed by the EVerify system. This position is identified as a position that may include the EVerify requirement.
U-M EEO Statement The University of Michigan is an equal employment opportunity employer.
#J-18808-Ljbffr