Research Assistant: AI Systems & Lab Research

University of Minnesota; Minneapolis (MN); On-site; USD 35,000 - 37,000; Part time

Benefits offered by this job

Competitive wages

Paid holidays

Professional training

Low-cost medical plans

HSA contributions

Retirement plans

Counseling program

Job summary

The Department of Computer Science & Engineering at the University of Minnesota invites qualified candidates to join a high-impact research team for a short-term position. The role emphasizes conducting externally funded research, setting up experiments, and analyzing data under supervision of senior researchers.

Responsibilities include developing AI systems for real-world experiments, assisting with papers, participating in lab meetings, and upholding strict safety standards.

Qualifications

• BA/BS degree or combination of education and relevant work experience to equal at least four years.

Responsibilities

• Conduct research related to externally funded projects, including setting up experiments, collecting and analyzing data, troubleshooting challenges, and assisting graduate and undergraduate students on the project, as needed.
• Develop, read and evaluate AI systems impacting real-world experiments and optimizing workflows
• Supports daily laboratory functioning and equipment maintenance
• May be asked to contribute to papers or presentations related to research.
• Attend lab meetings with the entire research group and one-on-one meetings, as needed
• Attend relevant lectures and training sessions
• Maintain the highest safety standards that adhere to University policy
• Assist other lab/community members, as needed

Education

BA/BS degree or combination of education and relevant work experience to equal at least four years

Job description

The Department of Computer Science & Engineering at the University of Minnesota invites qualified candidates to join a high-impact research team for a short-term position. The role emphasizes conducting externally funded research, setting up experiments, and analyzing data under supervision of senior researchers.

Responsibilities include developing AI systems for real-world experiments, assisting with papers, participating in lab meetings, and upholding strict safety standards.