Undergraduate Research Assistant - Dr. Ranganathan

Apply now Job no: 497616
Work type: Institutional Student
Location: Grand Forks
Categories: Research, Professionalism, Critical thinking & problem solving, Technology

• $15.00 hourly, Non-Exempt (Eligible for overtime)
• 10-20 hours per week hours per week
• 100% Remote Work Availability:
  No
• Hybrid Work Availability (requires some time on campus):
  No

Undergraduate Research Assistant – The student will contribute to research in one or more of the following areas.

• The student will contribute to research in one or more of the following areas:
  • Machine Learning & Modeling
  • Implement and test machine learning models (e.g., classification, regression, anomaly detection)
  • Train and evaluate models using Python-based ML frameworks (e.g., PyTorch, Tensor Flow, Scikit-Learn)
  • Perform hyperparameter tuning and performance analysis
  • Data Analysis & Feature Engineering
  • Clean, preprocess, and label datasets
  • Perform exploratory data analysis and statistical summaries
  • Extract features from structured, time-series, and image data
  • Generate plots, tables, and reports summarizing results
  • Image & Signal Classification
  • Develop and test image classification models (e.g., CNNs, transfer learning)
  • Process sensor, image, or video data
  • Assist with labeling, augmentation, and model validation
  • Research Support
  • Document experiments, datasets, and results
  • Assist in preparing figures and technical content for papers, reports, and presentations
  • Participate in weekly research meetings
• Able to work in-person.
• Enrollment as an undergraduate student in Computer Science, Electrical Engineering, Data Science, or related field.
• Basic programming skills in Python.
• Familiarity with statistics, linear algebra, or machine learning concepts.
• Ability to work independently and meet research deadlines.
• 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.

• Experience with machine learning libraries (PyTorch, Tensor Flow, Scikit-Learn)
• Experience with image processing (OpenCV, PIL, torch vision)
• Familiarity with Jupyter notebooks, Git, or Linux
• Prior coursework in AI, ML, data science, or computer vision

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.
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Advertised: 22 Jan 2026 Central Standard Time
Applications close: 20 Feb 2026 Central Standard Time