IIT-Harvard joint postdoctoral position in computer vision, pattern recognition, and machine learning for the design and development of a virtual foraging system and an automatic behavior analysis system
The Fondazione Istituto Italiano di Tecnologia (IIT www.iit.it) is opening a joint postdoctoral position at its Department of Pattern Analysis and Computer Vision (PAVIS; http://www.iit.it/pavis.html) in Genova, Italy, in collaboration with the Department of Neurobiology at Harvard Medical School (HMS; http://neuro.med.harvard.edu) in Boston, USA.
IIT, which was established in 2003, consists of a major research center in Genoa, Italy, along with a network of 10 state-of-the-art laboratories throughout Italy. IIT recruited an international staff of about 1100 scientists from more than 50 countries. IIT's research focuses on cutting-edge high technology and innovation, with applications including materials science, computer science, robotics, life science and nanobiotechnologies.
The project is highly interdisciplinary, including behaviour analysis, engineering, data analysis, machine learning and computer vision. The ideal candidate will design and develop a novel virtual foraging system, which will be used to explore innate behavioural responses and other cues on ethological spatial scales, also looking at the neural correlates. The aim is to develop a framework composed of a virtual reality (VR) system integrated with multiple recording devices (a capacitive trackpad, multiple cameras, and eventually a 3D scanner) and a library of software tools for advanced behavioural data analysis. In this setup, the activity of a mouse is recorded by the trackpad jointly with the cameras, and the information is used to automatically analyse the animal gait, postures and behaviour, using computer vision and pattern recognition technologies. The multi-source information will be integrated to understand and prevent the intention of movement of the animal, which is then fed to the VR system.
Experience and Qualifications:
We are seeking a self-motivated individual with the ability to take day-to-day responsibility for the progress of the project. The ideal candidate is a scientist with a Ph.D., a strong engineering background and competences in Computer Vision, Image Analysis, Pattern Recognition, and/or Machine Learning, coupled with a keen interest in neuroscience and biological data processing and analysis. Experience on time series analysis will be appreciated. Strong programming skill is required.
The ideal candidate is expected to spend his/her time partly in Genoa and partly in Boston.