Description: EDUCATION DESIRED: Ph.D. in Computer Science, Applied Mathematics, Applied Physics, and related fields.
ESSENTIAL JOB FUNCTIONS: Primary job function is to develop software models and do performance benchmarking of an image processing pipeline based on a novel computing paradigm based on synchronization of coupled oscillators. Development of enhanced learning capabilities for this pipeline will also be desired. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.
EXPERIENCE DESIRED: Research experience in one or more of the following areas: convolutional neural nets, pattern recognition systems, machine learning with limited training data, and image-based saliency detection. Experience working with software development on GPU clusters is also desired as well as experience developing innovative solutions based on the application of relevant research results from a wide variety of sources.
KNOWLEDGE DESIRED: Background in one or more of the following areas: machine learning, pattern recognition, and statistical data analysis. Highly proficient in C / C++ with familiarity in GPU programming using CUDA.
ESSENTIAL PHYSICAL / MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
Application Instructions: Please email your resume/CV to [dwpayton at hrl.com and kkim at hrl.com]. Note that applications that don't meet the US residency requirement will be ignored.