492674

Grand Forks, North Dakota, United States

Full-time Faculty

• $55,000+ Contract, Exempt
• 40 hours per week
• 100% Remote Work Availability: No
• Hybrid Work Availability: No

This position will support research for UND within the John D. Odegard School of Aerospace’s Aviation Department.

• The post-doctoral associate will assist in the design and conduct of simulation and experiments. The post-doc will perform experiments, data analysis, write research papers of her/his findings, submit grant proposals and expected to present the work at national/international forums. Working with other collaborators inside and outside of the UND campus, the postdoc research associate’s work may include, but is not necessarily limited to:
  • Collect preliminary data and information on current air domain awareness (ADA) and Counter-UAS (CUAS) systems.
  • Developing efficient detection models for counter-UAS, Data Fusion and UAV swarms
  • Developing UAV swarm and one-to-many capabilities to obtain additional external funding.
  • Conducting research on autonomous systems, networked systems and synergies with computer vision, applied machine learning, and flying Ad-hoc networks.
  • Conduct internal and third party analysis of ADA and CUAS Systems.
  • Submit, and assist submitting proposals for external funding.

• Strong oral and written communications skills.
• Quantitative and analytical skills.
• Very good organizational skills.
• Interest in mentoring students.

• Ph.D. degree or successfully defended Ph. D. dissertation in the field Aerospace/Computer Science or related field.
• Demonstrated ability to publish and present peer-reviewed scientific products.
• Successful completion of criminal history records 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. This position does not support visa sponsorship for continued employment.

• Programming skills in Matlab, Python, or other scientific programming language.
• Excellent analytical, technical and problem-solving skills.
• Experience in fieldwork and stakeholder engagement.
• Knowledge of ML/AI.
• Experience In Physics based simulations.
• Experience in developing Multi-Agent systems.
• Experience in Aviation.

To assure full consideration, applications must be received by June 25, 2023 and include the following materials:

• Curriculum Vitae.
• Brief summary of research interests.
• Publication listing.
• Contract information for a minimum of 3 professional references.

This position will start on August 1, 2023.