The Information Sciences Institute (ISI), part of the world-renowned Viterbi School of Engineering at USC, is home to nearly 250 researchers in a variety of fields, including intelligent systems and artificial intelligence, who carry out world-class research in a collaborative, academic environment. ISI scientists have the opportunity to spend the majority of their time doing the research they love. Projects are critically accelerated by research programmers and Ph.D. and M.S. students. USC operates one of the world's largest academic high-performance computing clusters. ISI has three research campuses: one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA.
This position is located in Marina del Rey, CA.
ISI is looking for highly talented, motivated researchers to lead and impact state-of-the-art research and development in the areas of machine learning and computer vision and to be part of the multimedia research group.
- Research and development of computer vision and machine learning algorithms for object detection and recognition, large-scale indexing and retrieval and multimedia understanding
- Actively publish research outcomes in premier conferences and journals
- Evolve own research programs and develop and participate in developing research proposals to major funding agencies such as DARPA, IARPA, NIH and NSF
- Design, implement and deliver software systems to funding agencies and participate in large-scale research evaluation
- Ph.D. in Computer Science or Electrical/Computer Engineering with emphasis on computer vision and/or machine learning
- Record of publishing in premier conferences such as CVPR, ICCV, ECCV, ACM MM, NIPS, and ICML
- Solid Python and C++ programming background
- Solid background on software development on Linux operating system and related tools, such as Emacs, GCC, etc
- Familiarity with vision and learning libraries, such as scikit-learn, OpenCV, Caffe and Keras
- Outstanding oral and written communication skills
- Prior work on multimedia indexing using locality-preserving methods
- Prior work using deep learning, especially convolutional neural networks, long short term memory, and deep autoencoders
- Experience with deep learning frameworks such as TensorFlow, Theano and Torch
- Familiarity with modern virtualization technologies
- Experience with Amazon AWS
The University of Southern California values diversity and is committed to equal opportunity in employment.
Minimum Education: Doctorate
Minimum Experience: 0-6 months
Minimum Field of Expertise: PhD with demonstrated record of outstanding research contributions and experience. Proven technical proficiency, exceptional creativity, successful collaboration with others, and independent thought. Strong managerial skills. Demonstrated reputation as an emerging leader in field with sustained performance and accomplishment. Demonstrated ability to conceptualize research directions, exert technical leadership, communicate technical ideas, coordinate individual contributions to a research program, and present research plans and results in a manner that will elicit favorable funding actions.