In This Position You Will:

• Develop robust solutions in the areas of object based detection, feature detection, motion pattern learning and anomaly detection
• Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
• Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:

• PhD in Computer Science or related field
• Strong publication record in top-tier research publications and conferences
• Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
• Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
• Candidates should include a detailed list of publications as part of their resume/CV
• Due to contractual restrictions, only US Citizens will be considered for this position
• If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance

Preferred Qualifications:

• Experience with deep learning methods is desirable, but not required
• Experience with geospatial coordinates systems and transformation is desirable, but not required

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.