Applications are invited for multiple postdoctoral fellowship positions working with Andrew McCallum at University of Massachusetts Amherst in various combinations of natural language processing; deep learning and other areas of machine learning; knowledge representation and logical reasoning, with deep learning; knowledge bases; application areas are flexible; current work includes reasoning about the scientific literature, career paths, peer review.
I will be available to meet in person with interested candidates at the 2016 NAACL, ICML and UAI conferences. The postdocs will be part of a large research group with many collaborative opportunities, both within the group as well as across the UMass Amherst's Center for Data Science and College of Information and Computer Sciences (which includes other faculty working in deep learning, NLP, machine learning, computer vision, databases, and information retrieval). UMass Amherst ranks 4th in AI among US universities by publications in top-tier venues. The UMass Amherst Center for Data Science recently announced at $15m gift from MassMutual to further expand faculty hiring. Surrounded by five colleges, Amherst is located in bucolic western New England within day-trip range of both Boston and New York. Successful applicants will have extensive research experience, an excellent publication record in one or more of the research areas above, creativity, and strong communication, experimentation, and coding skills. Examples of McCallum's previous postdocs and PhD students with academic placements: Sebastian Riedel, University College London Charles Sutton, University of Edinburgh David Mimno, Cornell Sameer Singh, UC Irvine Jinho Choi, Emory Benjamin Roth, Munich University Chris Pal, École Polytechnique de Montréal If you are interested, or have questions, or would like to meet at NAACL, ICML or UAI, please send email to Andrew McCallum <[email protected]> and Pam Mandler <[email protected]>. The University of Massachusetts is an Affirmative Action/Equal Opportunity employer.
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