Internship - Visual Simultaneous Localization and Mapping (V-SLAM)

Job description

MERL seeks a self-motivated graduate student to conduct research on Visual Simultaneous Localization and Mapping (V-SLAM). Depending on the candidate’s expertise and interests, the internship may focus on topics such as — but not limited to — camera pose estimation, feature detection and matching, visual-LiDAR data fusion, pose-graph optimization, loop closure detection, and image-based camera relocalization. The ideal candidate is a PhD student with a strong foundation in 3D computer vision and proficient programming skills in C/C++ and/or Python. Applicants should have at least one publication in a premier computer vision, machine learning, or robotics conference, such as CVPR, ECCV, ICCV, NeurIPS, ICRA, or IROS. The intern will collaborate with MERL researchers to develop and implement novel algorithms for V-SLAM, perform experiments, and document research outcomes. The work is expected to lead to a submission to a top-tier conference. The start date and internship duration are flexible. Required Specific Experience: The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to a...