%%%%%%%%%%%%%% Call for Postdocs - MIT Machine Learning & Social Media %%%%%%%%%%%%%%
Machine learning has recently enabled substantial progress towards AI. These developments have ignited a growth in concerns from the general public about AI and its potential impact in our daily lives. This attention on the role of intelligent machines motivates a research agenda towards more transparent, understandable, and trustworthy machine learning systems. In the long term, for sophisticated machine learning systems to have positive societal impact, it is necessary to develop: - Transparent models that can not only produce predictions, but can also provide an explanation for their predictions. - Understandable models that can converse, maintain a dialogue with humans and answer questions. - Trustworthy models that can provide a meaningful measure of its confidence in the predictions they make. Professors Iyad Rahwan and Deb Roy from the MIT Media Lab are seeking two motivated and talented candidates for postdocs dedicated to these research topics. The candidates will also be interacting directly with Ryan Adams and Hugo Larochelle from Twitter Cortex. The candidates should have or be near the completion of a PhD, with a demonstrable record of strong publications in the field of machine learning and an interest in the human dimension of applied machine learning. The ideal candidate will have expertise in large scale applications of deep learning and/or Bayesian methods. To apply, send your CV, the names and contact details of at least two references, as well as a letter of intent in which you motivate your interest in this position and provide a brief description of research ideas you'd like to explore during your postdoc. Application packages must be submitted to: ml-post...@media.mit.edu<mailto:ml-post...@media.mit.edu>
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