The MIT Media Lab is looking for a research specialist to lead and develop various reinforcement learning and Deep Neural Networks (DNN’s) emergent architectures for the purpose of learning from biomedical datasets resulting from clinical trials, animal models and cell culture experiments. This position will work closely with Dr. Pratik Shah, and research staff in the Camera Culture Group. The group conducts multidisciplinary research in modern optics, sensors, illumination, actuators, probes, deep learning and image processing.
The research objective for this position is to create cutting-edge algorithms for development of next-generation automated clinical software platforms using computer vision, bioinformatics and deep learning.
This appointment is for one year with the possibility of extension based on funding and research priorities.
This position is not eligible for visa sponsorship.
Projects involve devising machine learning methods that learn from pre-clinical, clinical, and electronic medical data trial data . Additional publically available and past datasets may also need to be included in the classifiers to improve performance. The ideal candidate should have experience and expertise in utilizing existing machine learning techniques, ideally forprocessing multimodal clinical datasets. Experience in using reinforcement-learning and DNNs is a plus and willingness to learn advanced deep learning approaches is expected.
The research specialist will also participate in diverse group activities as required and indicated by the supervisor. Such activities include group meetings, support to other group members, PhD students and undergraduate researchers.
Other duties as needed or required.
Those who are interested should submit a resume and cover letter referencing job no. 15317 at http://careers.mit.edu; keyword is "Media Lab".
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