Dear All: Our group, the Media Analytics Department at NEC Labs America ( http://www.nec-labs.com/research-departments/media-analytics/media-analytics-home), has multiple openings for both research and internship positions. Please see the attached position descriptions below.
Thanks, Yuanqing ------------------------------------------------------------------------ Yuanqing Lin, PhD Head of Media Analytics Department NEC Labs America Suite SW3-350, 10080 North Wolfe Road Cupertino, CA 95014 Homepage: www.linyq.com %%%%%%%%%%%%% Research Staff Member Positions at NEC Labs America, Computer Vision and Machine Learning The Media Analytics Department of NEC Labs America in Cupertino (CA) is seeking outstanding researchers with backgrounds in computer vision and machine learning. Candidates must possess an exceptional track record of original research and passion to create high impact products. Our researchers are expected to establish leadership in the research community and maintain active collaborations with leading universities worldwide. The Media Analytics group provides a vibrant research environment that has produced very strong research results. For example, a paper from our group won the Best Paper Award at CVPR in 2014; our monocular SFM, object detection and object tracking approaches are currently the top performers on KITTI benchmark dataset. The Media Analytics group always strives for excellence, producing top-notch research with strong aim to develop the core technologies for the industry in the decade to come. Our current research focuses on two major directions – large-scale image recognition and 3D reconstruction – with applications like search by images on mobile platforms, 3D scene understanding for autonomous driving. While we are seeking for top talents in the above two directions, we are open to other directions in computer vision and machine learning. Required Skills or Experiences: 1) PhD in Computer Science (or equivalent) 2) Strong publication record at top-tier computer vision or machine learning venues 3) Solid foundations in applied mathematics, optimization and statistical inference 4) Motivation to conduct independent research from conception to implementation 5) Ability to develop large-scale systems working with image/video data Additional Desirable Skills: 1) Research focus in visual recognition, 3D reconstruction or scene understanding 2) Strong programming skills in C/C++ 3) Experience with parallel/distributed computing 4) Experience with mobile or embedded systems To apply, please go to http://tinyurl.com/kloe2ba and click "Apply Now". %%%%%%%%%%%%%% Internship at NEC Labs America, Computer Vision and Machine Learning The Media Analytics Department of NEC Labs America in Cupertino (CA) is offering internships in computer vision and machine learning for summer 2015. The Media Analytics group provides a vibrant research environment that has produced very strong research results. For example, a paper from our group won the Best Paper Award at CVPR in 2014; our monocular SFM, object detection and object tracking approaches are currently the top performers on KITTI benchmark dataset. Our current research focuses on two major directions – large-scale image recognition and 3D reconstruction – with applications like search by images on mobile platforms and 3D scene understanding for autonomous driving. If you are interested in large-scale fine-grained image classification, object detection, image retrieval, object tracking, video segmentation, SFM, 3D localization/detection or dense 3D reconstruction, then an internship at NEC Labs is an ideal avenue to do excellent research and make a real-world impact. Located in the heart of Silicon Valley, our internship programs offer a dynamic environment and competitive stipends. If you are as excited as we are about the rapid advance of computer vision and want to contribute to core technologies for the next decade, join us for an exciting summer 2015! Required Skills or Experiences: 1) PhD student in Computer Science (or equivalent) 2) Strong knowledge in computer vision or machine learning (or both) 3) Strong interest in solving fundamental but practical problems in computer vision through research To apply, please go to http://tinyurl.com/kfzuhzg and click "Apply Now".
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