Facebook Research Scientist, Simulation (PhD University Grad) in Pittsburgh, Pennsylvania
Oculus is a world leader in the design of virtual reality systems. We are currently seeking innovative researchers with a passion for technology to develop next generation near to 3D face and body reconstruction and tracking at our research location in Pittsburgh, PA. The focus of this role is on computer vision and machine learning with the primary responsibility being the design, modeling, and analysis of human motion. The role of this job is to improve tracking and statistical modeling of human in motion, particularly in close interaction, by incorporating physical simulation such as FEM simulation, collision handling or estimating physical properties of an object via simulation, and possibly to develop new machine learning algorithms that can account for physics.
Develop new tracking algorithms for human body in close interaction by incorporating physical simulation, and possibly develop new machine learning algorithm that accounts for physics.
Lead research projects that involves physical simulation.
Collaborate with other researchers to deliver new algorithms and techniques into our existing pipeline of human modeling.
Publish and present papers on developed algorithms in top-tier international conferences and journals.
Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in Computer Science, Robotics, Mechanical Engineering or a related field.
3+ years experience with physical simulation, such as FEM, collision detection and handling, or articulated rigid body, including experience with existing physical simulation libraries.
5+ years programming experience in C++ or Python.
Interpersonal experience: cross-group and cross-culture collaboration.
Experience with computer vision algorithms, specifically tracking such as optical flow or scene flow.
Publications in top-tier High Performance Computing and Systems conferences and journals.
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at +1 650-308-7837.