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.