Applicant must be a current PhD student at the University of Minnesota. Applicants must have completed their preliminary oral exam by the start of the assistantship. Post-docs are not eligible for these awards.

The Data Science Initiative-MnDRIVE Graduate Assistantship program supports UMN PhD candidates pursuing research at the intersection of Data Science and any of the five MnDRIVE areas: Robotics, Sensors and Advanced Manufacturing; Global Food Ventures; Advancing Industry, Conserving Our Environment; Discoveries and Treatments for Brain Conditions; and Cancer Clinical Trials.

Foundational Disciplines and Digital Health Innovations

“Data Science” in this case is defined broadly as the collection of approaches and disciplines covering the entire data pipeline. Proposals must align with one of the following Data Science Tracks:

Foundational Data Sciences

Foundational disciplines that underlie applied data science, including statistics, mathematics, data mining, machine learning, artificial intelligence, ethics, philosophy, and social and behavioral sciences.

Digital Health & Personalized Health Care Delivery

The broad scope of digital health includes categories such as mobile health (mHealth), health information technology (IT), wearable devices, telehealth and telemedicine, and personalized medicine. It includes enhancements to patient healthcare and healthcare delivery through continuous, personalized, predictive, participative, and preventive approaches.

Assistantship details

  • 2024 Program Application deadline: October 6th, 2023 at 5:00pm CST. Awards will be announced by early December.
  • Application period: Aug through Sep each year.
  • Application period: Aug through Sep each year.

Funding limit

The maximum award value will be a 12-month (2 semesters and 1 summer), 50% graduate research assistantship, including tuition for up to 14 credits each semester (fall & spring) and subsidized health insurance through the Graduate Assistant Health Plan.

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