The Camera Culture group at the MIT Media Lab focuses on making the invisible visible—inside our bodies, around us, and beyond—for health, work, and connection. The group aims to create an entirely new class of imaging platforms that have an understanding of the world that far exceeds human ability and produce meaningful abstractions that are well within human comprehensibility.
We are looking for a postdoctoral associate to join a highly collaborative team of faculty and researchers focusing on distributed machine learning, including privacy preserving machine learning, cryptographically secure machine learning, COVID19 projects and ML for health.
The right individual is highly motivated and self-directed with excellent research skills, who can work independently and contribute as part of a very broad multidisciplinary team; possessing experience with machine learning, optimization techniques, different mathematical transforms, tools for signal processing, and as many of the following as possible: MATLAB, Python, C/C++, CUDA.
· Performing independent research in areas including computational imaging, machine learning, optimization, and signal processing;
· Publishing, presenting, and disseminating research to the computer vision, machine learning, signal processing, and optics communities;
· Collaborating with professors from other institutions in their research;
· Working with private, industry, and/or government research sponsors to apply for research grants;
· Helping identify projects, mentoring graduate students, and supplementing a team of researchers to push forward this research;
· Other duties as assigned.
The postdoctoral associate will devote about 40% time to research, 30% to grants and industry links, and 30% to lab collaborations. This role offers an opportunity to do state-of-the-art research while developing teaching skills for faculty positions; to be part of the vibrant research community at MIT and the Media Lab, and to attend IEEE, OSA, and other conferences.
General supervision from Professor Ramesh Raskar
This is a six-month or one-year appointment with the possibility of extension based on the direction of the research and funding.
· PhD in computer vision, computer science, electrical engineering, or closely related fields
· Experience with machine learning, computer vision, computer graphics, optimization, compressive sensing, and inverse problems
· Excellent written and verbal communication skills
· Proactive approach to problem solving and time management
· Excellent interpersonal and collaborative skills;
· Ability to incubate and envision new, innovative research projects and successfully manage their implementation with graduate students.
· Background or demonstrated experience in optics;
· Interest in current research activities of the Camera Culture group.
To apply, go to https://hr.mit.edu/careers and search for job ID#18742.
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