Internship: Visual Question Answering VQA

Cambridge, Massachusetts, United States · CV · 1084 expand job description ↓

Description

MERL is seeking a highly motivated intern to conduct original research in the area of Visual Question Answering (VQA). The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in object detection/recognition, nature language processing (NLP), and machine learning (especially deep learning). Strong programming skills (C/C++, Matlab, deep learning tool such as Caffe etc.) are required.


Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Please see our website http://www.merl.com for information relating to our research, and http://www.merl.com/publications/ to explore our publications.

Research Area: Computer Vision

Contact: Ziming Zhang




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Are you qualified to apply for an internship at MERL? Qualified applicants for MERL internships are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Group E:1 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).
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