Post Doc Research Fellow-Artificial Intelligence
Grand Forks
Salary/Position Classification
- $50,000-$60,000, Dependent on Experience, 12-month contract, Exempt
- 40 hours per week
- 100% Remote Work Availability: No
- Hybrid Work Availability (requires some time on campus): No
Purpose of Position
The Artificial Intelligence Research (AIR) Center in the College of Engineering & Mines at the University of North Dakota invites applications for two postdoctoral positions to begin in April 2025. The applicant should possess a Ph.D. degree in Electrical Engineering, Computer Science, Data Science, Geography, Physics, or a closely-related field, and a strong potential to contribute to an internationally recognized research program with sustained external funding, and a commitment to high-quality undergraduate and graduate instruction. The initial appointment will be for one year and is full-time and with benefits, with the potential for renewal for a second year, pending an annual review of performance and continued availability of funding.
For more information about the college please visit:
https://engineering.und.edu/research/air/index.html
Duties & Responsibilities
- Conduct research, perform experiments, analyze data, and present the research outcomes at conferences and agencies.
- Write reports and papers.
- Coordinate activities with faculty and research staff.
- Mentor graduate and undergraduate research assistants.
- Maintain close communications with the PIs regarding progress.
Required Competencies
- The candidates should have excellent written and oral communication skills, adequate knowledge in Artificial Intelligence (machine and deep learning), image/signal processing, and dataset processing
Minimum Requirements
- Ph.D. in Electrical Engineering, Computer Science, Computer Engineering, Mechanical Engineering, or any STEM related field
- 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
- High-quality publications in any one or more areas leveraging big data and artificial intelligence.
- Post-doctoral experience
- Evidence of experience working in large research teams
- Experience with one or more applications including R, Python/Jupyter Notebooks, Tensorflow, Docker/Containerized Applications, Kubernetes, ArcGIS, LLMs, MATLAB.
To Apply
To assure full consideration, applications must be received by March 6, 2025 and include the following materials:
- Cover Letter
- Curriculum Vitae
- The names and contact information for 3 professional references
- Unofficial transcripts. Please note that the selected candidate will be required to submit official transcripts upon hire.
Position is open until filled.
Job Profile
100% remote 100% remote work availability Hybrid work availability No hybrid work No hybrid work availability Requires some time on campus Some time on campus required
Benefits/Perks100% Remote 100% remote work 100% remote work availability 40 hours per week Full-time Fully remote Hybrid work Hybrid work availability Potential for renewal Remote work Remote work availability
Tasks- Analyze data
- Conduct research
- Coordinate activities
- Mentor research assistants
- Perform experiments
- Present research outcomes
- Research
- Write reports
ArcGIS Artificial Intelligence Big Data Communication Communications Compliance Computer Computer Science Data processing Data Science Dataset processing Deep Learning Docker Electrical Engineering Engineering Geography HTML Image processing Jupyter notebooks Kubernetes Learning Machine Learning Matlab Mechanical Engineering Oral communication Physics Publications Python R Research Signal processing Teams TensorFlow
EducationComputer Science Electrical Engineering Graduate Mechanical engineering Ph.D. Related Field STEM Undergraduate
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9