Internship: Scene-Aware Dialog Technology
MERL is looking for an intern to work on fundamental research in the area of scene-aware dialog technologies by combining end-to-end dialog and video scene understanding technologies. The intern will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for high impact publication. The ideal candidate would be a senior Ph.D. student with experience in one or more of visual question answering, video captioning/description, end-to-end conversation modeling and natural language processing including practical machine learning algorithms with related programming skills. The duration of the internship is expected to be 3-6 months. Positions are available throughout 2018.
Research Area: Multimedia
Contact: Chiori Hori