The Machine Learning Department of NEC Labs America invites applications for summer and fall 2018 internships. We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video analysis, natural language processing, and big data analytics. Our internships will normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible.
Job Requirements * Currently enrolled in PhD/MSc program in computer science, statistics, electrical engineering, or equivalent. * Research experience in machine learning. * Strong computational background. * Strong programming and scripting skills. * Strong communication and collaboration skills. Application Link: https://www.appone.com/MainInfoReq.asp?R_ID=1785864 About our lab and our department NEC Laboratories America, Inc., (www.nec-labs.com) is a vibrant industrial research center, renowned for technical excellence and high-impact innovations. Our research programs cover a wide range of technology areas and maintain a balance between fundamental and applied research, providing a technological edge to NEC’s global business. We also maintain close collaborations with leading research universities and have a commitment to let our researchers grow and develop their talents. Our goal is to maintain a competitive environment to ensure that we attract the sharpest minds in their respective fields. NEC Labs is headquartered in Princeton, NJ and has a second location in Cupertino, CA, the heart of Silicon Valley. The Machine Learning group (located at Princeton, NJ) conducts research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in data mining and semantic comprehension. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis. Ongoing projects focus on text understanding, question answering, video analysis, active learning, information retrieval, deep learning systems, and deep reinforcement learning, among others. In 2017-18, our intern projects have been published in AISTATS, KDD, AAAI, NIPS & ICLR. Application projects emphasize technologies that solve real-world problems, and many of our research results have been and will be transferred into industrial products. Best Regards, Martin Renqiang Min Machine Learning GroupNEC Lab America http://www.cs.toronto.edu/~cuty
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