Research Intern: Aerial Segmentation & Mapping

Job Number: P25INT-39 Honda Research Institute USA (HRI-US) is seeking a research-focused engineer knowledgeable in semantic segmentation and mapping techniques for remote-sensing applications. This role will support current projects focused on using drones to generate navigation maps and identifying goal positions for UGVs. Mountain View, CA **Key Responsibilities** * Develop a semantic segmentation model for aerial images from a birds-eye-view perspective. * Explore novel approaches for handling unwanted segmentations via segmentation manipulation. * Write a research paper on the work conducted to be published at a major robotics conference. * Weekly meetings to discuss updates/ideas for the work being conducted. **Minimum Qualifications** * PhD candidate or postdoc in CS, CE, ME, or similar disciplines. * Comfortable in Python and/or C\+\+ programming languages. * Must have experience with training semantic segmentation models for remote sensing applications. * Basic computer software: Microsoft word, Excel, PowerPoint, etc. **Bonus Qualifications** * Published a paper in the field of remote-sensing at a major robotics conference. * Knowledgeable in segmentation manipulation on high-resolution images. * Experience with using real-world drone data for semantic segmentation. * Experience with generating orthophotos using real-world drone images. **Years of Work Experience Required** 0 **Desired Start Date** 8/31/2026 **Internship Duration** 3 Months **Position Keywords** Remote sensing, Semantic segmentation, UAV, Drone, Orthophotos **Warning:**You do not have the permission to access the upload fields on this form. Contact the form owner or portal administrator to request the access.