Applications are invited for multiple postdoctoral fellowship positions working with Andrew McCallum at University of Massachusetts Amherst. The research project is flexible, but areas of interest include various combinations of
* deep learning, structured prediction, and other areas of machine learning;
* natural language processing;
* clustering, entity resolution, concept discovery;
* computational social science;
* 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 (including opportunities for machine learning in the OpenReview.net system created in our lab).
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 10th in AI among US universities by publications in top-tier venues. The UMass Amherst Center for Data Science received at $15m gift from MassMutual to further expand faculty hiring. We also received a $5m gift for computing hardware, part of which was used to purchase over 800 GPU machines in support of deep learning; next year we will be purchasing an even more. Surrounded by five nearby colleges, Amherst is located in bucolic western New England within day-trip range of both Boston and New York.
Examples of McCallum’s previous postdocs and PhD students with academic placements:
Emma Strubell, Carnegie Mellon University
Sebastian Riedel, University College London
Charles Sutton, University of Edinburgh
David Mimno, Cornell
Sameer Singh, UC Irvine
Jinho Choi, Emory
Pedram Rooshenas, UNC Charlotte
Benjamin Roth, Munich University
Chris Pal, École Polytechnique de Montréal
In addition, previous postdocs and PhD students have industry placements at Google Research, OpenAI, MSR, FAIR, Amazon, Oracle, Bloomberg, and elsewhere.
If you are interested, or have questions, please send email to Andrew McCallum and Elena Hayes , with the subject line above preserved.
The University of Massachusetts is an Affirmative Action/Equal Opportunity employer.