Positions

We are always looking for excellent graduate students or postdocs to join the lab and for undergraduate students to do senior projects. If any of the vision sciences catches your imagination and research is your passion, please do contact us to tell us about yourself and learn more about the lab and its research. If at this time the lab offers specific positions for designated projects. Research positions for the 2014/2015 academic year are described in this page. Please refer to the Senior Projects page for projects information.

Postdoc position on cognitive assistive robotics

As the elderly population grows, so does the number of elderly patients with restricted mobility, vision, and dexterity. Service robots can help such people perform important tasks safely, allowing them to function independently in their homes many more year. With the enormous societal and economic impact of such robots no accepted, assistive robotics is emerging as a strong discipline that draw much academic and interest (e.g., see recent workshops in IROS 2014, HRI 2014, and ECCV 2014, to name but few). In this spirit we are starting a multidisciplinary projects in assistive robotics involving several PIs and research in of robotics, computer vision, NLP, plannings, and HRI. A seek a postdoctoral researcher with expertise in at least one of these areas to lead the effort. A successful candidate will not only demonstrate excellent research track record but will have hands-on approach, good programming skills, and some knowledge of ROS (or the ability to acquire one quickly).
For details and how to apply please contact: Prof. Ohad Ben-Shahar or Prof. Ronen Brafman.

Postdoc position in agrovision

We are seeking a postdoctoral researcher to lead the computer vision and image processing effort in an international (Horizon 2020) project focusing on agricultural robotics. Previous experience in computer vision and real-time programming is important. Experience with ROS is a plus. The project will involve field experiments and travels across Europe.
Among the responsibilities will be research and development of computer vision algorithms for natural agricultural environments, supervision of undergraduate and graduate students, interaction and cooperation with industries and research groups abroad, and general project management. Project will last 3 years is funded for the entire period.
For details and how to apply please contact: Prof. Ohad Ben-Shahar or or Prof. Yael Edan.

M.Sc./Ph.D. position on computational vision for the study of animal behavior

Do you care for both computational tools and biological issues? In a long term project with Prof. Ronen Segev from the Life Sciences department we study both behavior and neurophysiology of the archer fish with some visionary applications to futuristic robotics. As part of this project we intend to study and develop fully automatic tools and algorithms for the analysis of the fish behavior, set a fully operational experimental system, and explore the latter in various experiments. For details and how to apply please contact: Prof. Ohad Ben-Shahar.

M.Sc./Ph.D. position on visual contour completion

Visual completion is a fundamental perception capacity of human vision and a crucial function for computer vision.   Previous research in the iCVL has explored the visual contour completion problem in a biologically-inspired and perceptual-consistent fashion, pushing a unique approach that considers the problem not in the image plane but rather in a mathematical space that abstracts the primary visual cortex.  Candidate interested in this problem will study both computational aspects and perceptual issues. No special background is needed, but previous experience with tools from analysis, differential equations, differential geometry and numerical analysis, as well as background in visual perception are a plus. For details please contact: Prof. Ohad Ben-Shahar

M.Sc./Ph.D. position on automatic puzzle solving

Automatic solving of jigsaw puzzles has been receiving increasing interest in the computational vision community, and our lab has been pushing the abilities of such algorithms to new fronts. Following this initial success (and a follow up senior project on robotic puzzle solving) we will set to study important (and yet unexplored) extensions of the problem, as well as important applications. Strong background in computer science, algorithms, and computational geometry are a plus. For details please contact: Prof. Ohad Ben-Shahar

M.Sc./Ph.D. position on natural image statistics

The statistics of natural images is a source for great advancements in computer vision, as well as in computational modeling of biological and human vision. In this research project we will explore the implications of certain statistical properties of images for image representation, compression, retrieval and search operations, as well as for various methodological advances in visual psychophysics (such as for masking). For details please contact: Prof. Ohad Ben-Shahar

M.Sc./Ph.D. position on eye-movement behavior

Humans execute rapid eye movements between locations well over 100,000 times a day.These movements are an integral part of our visual system, serving in acquiring relevant information, tracking visual targets, and allowing us to operate in our world. Tracking eye-movements and measuring how they change in response to different visual stimuli provide a window into human visual perception. Recent portable eye-tracking technology allows to measure eye movements under natural conditions. Most research based on this technology explores the nature of the visual system when it is bound to a specific task (e.g., driving, walking or preparing food). But, what could eye-movements tell us about the visual system when it is independent of any specific task? In order to answer this question, we will measure human eye-movement behavior under free viewing conditions. By analyzing the measurements, we will interpret the human visual system under natural conditions and seek for ways to incorporate this knowledge into artificial visual systems. For details please contact: Prof. Ohad Ben-Shahar