FreshRemote.Work

Research Assistant - Dr. Liang

Grand Forks

Salary/Position Classification

  • $15.00 hourly, Non-Exempt (Eligible for overtime)
  • 4-20 hours hours per week
  • 100% Remote Work Availability: No
  • Hybrid Work Availability (requires some time on campus): No

Purpose of Position

This is a part-time, non-benefited position. Only UND students are eligible to be hired in this position.

The College of Engineering and Mines at the University of North Dakota seeks a part-time student undergraduate research assistant with a background in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Physics, Computer Science, or Biology to join Dr. Bo Liang’s research team. This position aims to support the development and validation of advanced optical imaging systems, contributing to cutting-edge research in imaging technologies. The successful candidate will gain hands-on experience in a multidisciplinary research environment, fostering technical and analytical skills crucial for future academic and professional pursuits. The appointment is anticipated to begin in the fall 2024 academic semester, with the potential for continued support over the next three years, contingent on performance and project funding.

Duties & Responsibilities

  • Collaborate with Dr. Bo Liang’s research team, contributing to specific tasks aligned with the overall project objectives, including the following:
    • Assist in the design and construction of a microscope system, working with team members to ensure functionality and accuracy
    • Perform data analysis using appropriate software tools to accurately interpret imaging data
    • Conduct validation experiments to assess the optical imaging system’s performance, and document findings to support project development

Learning Outcomes

As a result of working in this position, the staff member will gain the following skills:

  • Professionalism
  • Communication
  • Collaboration & Teamwork
  • Critical Thinking & Problem Solving

Minimum Requirements

  • Entry-level position for undergraduate students
  • Background in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, Physics, Computer Science, or Biology
  • Enrolled in a minimum of 1 credit for the employed academic semester
  • Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position does not support visa sponsorship for continued employment.

To Apply

For full consideration, applications must be received by the closing date and include the following materials:
• Resume

• Class Schedule 

Please include in the application if you are currently or have in the past 12 months been employed with the University of North Dakota, the North Dakota University System or any other North Dakota State agency. If so, include which agency/department, as well as how many hours you work a week.

Career Services is here to help students looking for student employment positions at UND by offering individual sessions that include resume, cover letter reviews, and interview preparation. Please schedule an appointment through Hawk Central or email us at und.careerservices@und.edu.

Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

100% remote work availability Does not support visa sponsorship Hybrid work availability No hybrid work No hybrid work availability No Visa Sponsorship Only undergraduate students eligible Part-Time Requires some time on campus

Benefits/Perks

100% Remote 100% remote work 100% remote work availability Eligible for overtime Fully remote Hands-on experience Hybrid work Hybrid work availability Multidisciplinary research environment Remote work Remote work availability Visa sponsorship

Tasks
  • Assist in microscope design
  • Conduct validation experiments
  • Data Analysis
  • Document findings
  • Perform data analysis
  • Research
Skills

Analysis Analytical Application Biology Biomedical Engineering Collaboration Communication Compliance Computer Computer Science Critical thinking Data analysis Electrical Engineering Engineering Hawk Central Learning Mechanical Engineering Optical imaging Physics Problem-solving Professionalism Research Software tools Teamwork

Experience

0 years

Education

Computer Science Mechanical engineering Student Undergraduate

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9