IBM 2017 non-von Neuman Research Scientist - Melbourne in MELBOURNE, Australia

From landing the first astronauts on the moon to the discovery of fractals, from the technology behind laser surgery to building the first cognitive system to win the Jeopardy! competition, IBM has been the spark of the technology revolutions that have shaped our world today. At the core of IBM’s innovation are its 12 global research labs. IBM Research - Australia is a vibrant and relatively young community within IBM Research. The lab is primarily an industry solutions lab that focuses on conceiving, designing and building next generation systems that will transform health and life sciences, resource management, emergency management and financial services.IBM Research has built a first-of-a-kind modular, scalable, non-von Neumann, ultra-low power, cognitive computing architecture (TrueNorth) and associated end-to-end software ecosystem. IBM Research - Australia leverages its TrueNorth hardware and software research ecosystem to develop novel algorithms for TrueNorth by driving exploratory research in deep-learning and artificial intelligence.The Brain-Inspired Computing Research Team of IBM Research - Australia seeks team members with varied backgrounds and experiences for positions in algorithm/application development, and theoretical understanding.Ideal candidates will have expertise in several of the following areas:Neural Networks, Deep Learning, Convolutional Networks, Machine Learning, Pattern Recognition, Statistical Learning, or Probabilistic Graphical ModelsMapping neural networks to custom hardwareExperience developing, testing, and deploying systems for image processing, EEG data analysis, robotics, medical imaging, or other real-world applicationsParallel programming using tools such as Message Passing Interface (MPI), Compute Unified Device Architecture (CUDA), OpenMP, MATLAB Parallel ToolboxUser interface design, testing, and deploymentExpert level programming skills in C++ and MATLABExperience with Caffe / MatConvNet / Theano / TorchRequired Technical and Professional Experience: At least 1 year experience in machine learningAt least 1 year experience in large scale neural networksAt least 1 year experience in deep-learningwork experience documented through journal/conference papers and talksEnglish : FluentRequired Education: Doctorate Degree

· Ph. D. in relevant discipline (Computer Science, Engineering, Mathematics, Physics)· Track record of research publications in high-quality journals and conferences· Proven ability to collaborate in research teams· Excellent written and verbal communication skills· Ability to work with and maintain close connections with other teams around the world

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