University of North DakotaUD

Research Assistant or Associate Professor, Biomedical Engineering

The University of North Dakota is a prominent higher education institution known for its vast offerings of accredited programs and commitment to community engagement and diversity.

University of North Dakota

Employee count: 1001-5000

Salary: 80k-130k USD

United States only

Salary/Position Classification

  • $80,000-$130,000 12-Month Contract, Dependent on Experience, Exempt
  • 40 hours per week
  • 100% Remote Work Availability: No
  • Hybrid Work Availability (requires some time on campus): No

Purpose of Position

The Biomedical program at the College of Engineering & Mines, University of North Dakota, is at the forefront of innovation-based learning, aiming to equip students with the skills needed to become leaders in biomedical innovation. Biomedical engineering encompasses various engineering and scientific disciplines.
We are seeking to hire one new faculty member at the rank of assistant or associate professor to contribute to research and teaching within the Biomedical Engineering program. This position is fully funded through external grants, and continued employment is contingent upon the ongoing availability of such external funding.

Duties & Responsibilities

  • Develop and implement Machine Learning and Image Processing Algorithms.
  • Collaborate in the development of research grants.
  • Provide mentorship to undergrad and graduate students.
  • Co-teach two 3-credit courses in Biomedical Engineering, focusing on Medical Devices or other relevant areas.

Required Competencies

  • Proficiency in Machine Learning.
  • Experience in Image or Signal Processing.

Minimum Requirements

  • PhD in Computer Science or related Engineering fields.
  • One or more quality publications in Machine Learning Applications or peer-reviewed journals.
  • Experience in writing one or more research grants.
  • 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.

Preferred Qualifications

  • Previous faculty position as an assistant or associate professor.
  • Teaching experience
  • Familiarity with Deep Learning, Federated Learning, or Blockchain

To Apply

To assure full consideration, applications must be received by 06/15/2025 and include the following materials:

  • Cover letter
  • Resume or CV
  • List of 3 references
  • Unofficial transcripts. Please note that the selected candidate will be required to submit official transcripts upon hire.

Position open until filled.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Entry-level
Mid-level

Salary

Salary: 80k-130k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About University of North Dakota

Learn more about University of North Dakota and their company culture.

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The University of North Dakota (UND) is the oldest and largest college in North Dakota, founded in 1883, six years before the state became a part of the union. Today, it is a comprehensive public research university located in Grand Forks, North Dakota, sprawling across a 521-acre campus. UND offers a wide array of over 225 accredited on-campus and online degree programs ranging from engineering to medicine, reflecting its commitment to providing quality education to a diverse student body, which numbers over 15,000.

UND is known for its rigorous academic programs, committed faculty, and state-of-the-art facilities. The university is a leader in multiple disciplines, including aerospace, healthcare, business, and the arts, fostering an environment that promotes innovation, learning, and growth. Moreover, the university uniquely positions itself as the largest education provider for online degrees within the eight-state region. Committed to improving community engagement and inclusion, UND takes active steps to ensure all students, regardless of background, can thrive and succeed. The university emphasizes a safe and welcoming environment for all, sustaining its legacy of building leaders and driving change for a better tomorrow.

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