Three positions are available in the Department of Brain and Cognitive Sciences at MIT to work on brain-inspired audio and video analysis as part of a collaboration with IBM. The positions could be postdoctoral or predoctoral, depending on the candidate.
MIT’s Department of Brain and Cognitive Sciences seeks to hire three Postdoctoral Associates or Technical Associates in Computational Cognitive Neuroscience to participate in the IBM-MIT Initiative for Brain-inspired Multi Media Machine Comprehension. The project’s goals are to develop brain-inspired methods for understanding audio-video events and scenes. Strong quantitative and coding skills, expertise in machine learning, and a serious interest in computational neuroscience research are essential. Knowledge of image/video/speech/audio processing and signal processing more generally is advantageous. Each postdoc or technician will work under the supervision of Drs. Aude Oliva, Jim DiCarlo, or Josh McDermott, but will engage collaboratively with all three PIs and with researchers at IBM.
Postdoctoral Associate: A PhD in a quantitative field of science, preferably engineering, computer science, physics, or math
Technical Associate: a bachelor’s degree in a quantitative field of science, preferably computer science, physics, engineering, or math (master’s degree preferred)
Required for either position: a minimum of two years of extensive programming experience. Must be organized, self-motivated, and able to work both independently and as part of a team. Experience with machine learning, particularly deep neural networks, is desirable; as is comfort working in Linux environments.
Here are links to apply: