"Post Doctoral Fellow - Civil Engineering"

Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills.

1. Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
2. Recommends changes in research, testing or experimental procedures.
3. May be responsible for a single highly technical and complex piece of research equipment.
4. May review and evaluate the effectiveness of personnel.
5. May plan for and assign personnel to projects under control.
6. Operates with latitude for unreviewed action.
7. May receive general supervision conferring with higher levels only in unusual situations.
8. Performs other job-related duties as required.

Initial appointments will be for one year with the possibility of yearly renewal subject to funding availability. Responsibilities

• Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals (33%)
• Conduct full stack development efforts including UI/UX, code maintenance, and deployment pipelines (33%)
• Evaluate and refine AI models using annotated data and real-world image datasets (10%)
• Curate multimodal real and synthetic datasets, including photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%)
• Conduct data collection for validation of developed approaches (may involve occasional travel) (2%)
• Collaborate with graduate and undergraduate student researchers (5%)
• Perform other duties as assigned (7%)

Minimum Qualifications

• Bachelor’s degree (or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field
• Strong Python programming skills
• 0-2 years practical software engineering experience
• Practical experience with computer vision, ML, or 3D scene understanding
• Ability to work collaboratively across technical teams
• US Citizen or Permanent Resident

Preferred

• Master’s degree in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field
• Experience with photogrammetry, LiDAR alignment, or large-scale 3D data, and deep learning-based 3D vision and graphics
• Familiarity with image annotation tools and dataset iteration workflows
• Contributions to open-source, research publications, or production ML systems

MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed. No experience is required.