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Undergraduate Research Assistant - Dr. Ranganathan

Categories: Critical thinking & problem solving, Professionalism, Research, Technology

Department: CEM Research Institute

Undergraduate Research Assistant - Dr. Ranganathan

  • 497616
  • Grand Forks, North Dakota, United States
  • Institutional Student
  • Closing on: Feb 20 2026
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Salary/Position Classification

  • $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

Purpose of Position

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

The Undergraduate Research Assistant (URA) will support applied research projects in machine learning, data analysis, and image-based intelligence under the supervision of faculty in the Center for Cyber Security Research. The student will work on real-world datasets drawn from cybersecurity, autonomous systems, energy infrastructure, and computer vision applications. This role is designed to provide hands-on research experience and prepare students for graduate school or advanced technical careers.

Duties & Responsibilities

  • 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, TensorFlow, 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

Minimum Requirements

  • 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. This position does not support visa sponsorship for continued employment.

Preferred Qualifications

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

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.

For full consideration, all application materials must be fully submitted by 11:55PM CST on the closing date. Student job openings are posted for a minimum of 3 business days.

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Additional Information

Find out why Grand Forks is Cooler.

All information listed in this position announcement will be used by Human Resources, the Hiring Department, and EO/Title IX for screening, interviewing and selection purposes.

Need help?

Please email the Human Resources Department at UND.humanresources@UND.edu or contact us by phone at 701-777-4226. If you anticipate needing any type of accommodation to participate in any portion of the University's employment process, including completion of the online application process, please contact our office in advance of your participation or visit. 

Veteran’s Preference

Veterans claiming preference must submit all proof of eligibility by the closing date. Proof of eligibility includes a copy of NGB 22 from National Guard or Reserve (with a unit located in ND) or certification from the applicant's unit command that the individual is expected to be discharged or released from active duty in the uniformed services under other than dishonorable conditions not later than one hundred twenty days after the date of the submission of the certification. If claiming disabled status, proof of eligibility includes a DD-214 and a current letter of disability. 

Confidentiality of Application Materials

Pursuant to NDCC 44-04-18.27, applications and any records related to the applications that identify an applicant are confidential, except records related to the finalists of the position, which are open to the public after the search committee has identified the top three or more finalists who will be invited to campus.

EEO Statement

The University of North Dakota is an equal opportunity employer (veteran/disability). All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristic. Veterans and individuals with disabilities are encouraged to apply. 

Clery Statement

In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University of North Dakota publishes an Annual Security and Fire Safety Report. The report includes the university’s policies, procedures, and programs concerning safety and security, as well as three years of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at UND.edu. You may also request a paper copy of the report from the UND Police Department located at 3851 Campus Road, Grand Forks, ND, 58202.