Deep Learning and Computer Vision for Digital Plants & Crops
The BIGLAB has an immediate opening for fully funded MSc, PhD, Post-docs and full-time programmers in Computer Science, Engineering, or Mathematics. We are seeking outstanding individuals to develop state-of-the-art analysis techniques for characterizing physical and genetic traits of plants. The ideal candidate will have strong computer programming skills and a keen interest in deep learning, computer vision, image analysis, machine learning, and/or pattern recognition. Prior experience with image processing, software engineering, robotics, and/or controls is also desirable. Opportunities also exist for developing state-of-the-art field imaging using drones, satellite, and field sensor networks.You will join a dynamic, interdisciplinary team at the Plant Phenotyping and Imaging Research Center (P2IRC) focused on developing next generation digital agriculture and supporting the world-wide community of plant breeders. You will also have the opportunity to interact with collaborators in imaging science and biology at the Global Institute for Food Security at the University of Saskatchewan.
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3D Displays, VR Headset Displays & Perceptual Testing
The BIGLAB has an immediate opening for a bright and enthusiastic engineer or computer scientist interested developing state-of-the-art 3D displays as well as hacking and evaluating VR technologies, such as the Oculus Rift. Excellent programming skills are required. A keen interest in graphics programming, building physical devices, and hacking electronics is important. The position is for an Master's or PhD in Computer Science, but other disciplines (Engineering) are possible. We are creating new display technology based on our past work with Cubee (http://youtu.be/89OoXyuxTLM) and Spheree (http://youtu.be/og7uPWDer3s) -- join us to build the future of 3D displays.Please send a short email describing your interests / experience to ian.stavness@usask.ca (with subject line "VR position")
Co-Simulation of Finite-Element Musculoskeletal Models
The BIGLAB has an immediate opening for a fully funded MSc, PhD, or Post-doc in Computer Science or Biomedical Engineering. We are seeking an outstanding individual to contribute to the OpenSim and ArtiSynth open source software platforms in order to advance the state-of-the-art in combined multi-body and finite-element models of the human body. The ideal candidate will have strong computer programming skills and a keen interest in biomechanics and biomedical research. Prior experience with OpenSim or finite-element analysis and a background in experimental biomechanics, software engineering, robotics, and/or controls is also desirable.You will join a dynamic, interdisciplinary team focused on revealing the inner workings of the human body through computer simulation. You will also have the opportunity to interact with collaborators on the OpenSim project at Stanford University and the Parametric Human Project at the University of British Columbia, University of Toronto, and AutoDesk Research.
Please send a short email describing your interests / experience to ian.stavness@usask.ca (with subject line "Human Simulation position")
Summer Research Associate - Computer Vision & Tools
The BIGLAB searching for a highly motivated and research-oriented computer science student to work on software development for deep learning and computer vision tools. Your work will contribute to our open source Deep Plant Phenomics software platform (https://github.com/p2irc/deepplantphenomics) and other ongoing software systems.You will join a highly dynamic, interdisciplinary team focused on making deep learning tools more accessible, easier to use and easier to understand.
Applicants should send an email to Prof. Ian Stavness at ian.stavness@usask.ca indicating their specific interest and experience. Please include "Summer 2020 Sensorimotor Modeling" in the subject line.
Summer Research Associate - Graphics Programming
The BIGLAB is searching for an outstanding undergraduate student to work on developing state-of-the-art physics-based, graphics software. Experience with C++ or Java is required. An interest in computer graphics, medical imaging, or robotics is also desirable.You will join a highly dynamic, interdisciplinary team focused on revealing creating next generation interactive visualizations for biomedical applications. You will also have the opportunity to interact with collaborators on the OpenSim Project at Stanford University and the Parametric Human Project at the University of British Columbia, University of Toronto, and AutoDesk Research.
Applicants should send an email to Prof. Ian Stavness at ian.stavness@usask.ca indicating their specific interest and experience. Please include "Summer 2020 Graphics Programming" in the subject line.