Massachusetts Institute of Technology Postdoctoral Associate, Camera Culture in Cambridge, Massachusetts
Postdoctoral Associate, Camera Culture
Job Number: 18742
Functional Area: Academic (non-faculty)
Department: Program in Media Arts and Sciences
School Area: Architecture & Planning
Employment Type: Full-Time Temporary
Employment Category: Exempt
Visa Sponsorship Available: Yes
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Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.
Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting.
POSTDOCTORAL ASSOCIATE, Program in Media Arts and Sciences-Camera Culture, 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. Responsibilities include performing independent researching 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 the research forward; and other duties as assigned. The Camera Culture (http://cameraculture.media.mit.edu/) group focuses on making the invisible visible—inside our bodies, around us, and beyond—for health, work, and connection.
A full job description is available at https://www.media.mit.edu/about/job-opportunities/.
REQUIRED: Ph.D. in computer vision, computer science, electrical engineering, or closely related field; experience with machine learning, computer vision, computer graphics, optimization techniques, different mathematical transforms, signal processing tools, compressive sensing, and inverse problems; experience with MATLAB, Python, C/C++, and/or CUDA; excellent interpersonal, collaboration, and written and verbal communication skills; proactive approach to problem solving and time management; and ability to incubate and envision new, innovative research projects and successfully manage their implementation with graduate students. PREFERRED: background or demonstrated experience in optics and an interest in current research activities of the Camera Culture group. Job #18742 This is a six-month or one year appointment with the possibility of extension based on the direction of the research and funding. 6/3/20