Research Assistant or Associate Professor, Biomedical Engineering
- Employer
- University of North Dakota
- Location
- Grand Forks, ND
View more categoriesView less categories
- Faculty Jobs
- Engineering & Mathematics, Chemical & Biological Engineering, Science & Technology, Life Sciences
- Position Type
- Assistant Professor
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
- $75,000-$90,000 Annual, Exempt
- 40 hours per week
- 100% Remote Work Availability: No
- Hybrid Work Availability: No
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 two new faculty members at the rank of research assistant or research associate professor to contribute to research and teaching within the Biomedical Engineering program.
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.
- Proficiency in Machine Learning.
- Experience in Image or Signal Processing.
- 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 Standard 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 assure full consideration, applications must be received by 11/15/2024 and include the following materials:
- Cover letter
- Resume or CV
- List of 3 references
Position is open until filled.
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