Connectionists: Postdoc with McCallum at UMass: embeddings and KBs

[Andrew McCallum]

I will be at NIPS and happy to talk with interested candidates there.
Send me email.
-Andrew

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                Postdoctoral Fellowship
                           in

        Embedded Representations of Knowledge Bases
       Machine Learning, Natural Language Processing,
Information Extraction, Information Integration & Data Mining

Andrew McCallum is seeking one or two highly creative Postdoctoral
Research Fellows to join his lab in the School of Computer Science,
University of Massachusetts Amherst.

We are especially interested in people with interest and expertise in
some combination of:

* deep learning
* statistical machine learning
* natural language processing
* graphical models
* approximate inference and learning
* parallel & distributed machine learning
* large-scale automated knowledge base construction

Previous experience applying machine learning to problems in text data
is not necessarily required.  This is an opportunity to exercise your
machine-learning know-how on real data and real problems.

Project opportunities include:

* Learning embedded representations of large knowledge bases.
* Entity types & relations of "universal schema" by tensor factorization.
* Reasoning and inference on embedding-based knowledge bases.
* Joint embeddings of language and images.
* Information extraction and integration of massive bibliographic
databases of research papers, authors, institutions and venues;
social network analysis and trend analysis in this data; 
reviewer- and expert-finding; community- and trend-discovery.
* Automated knowledge base construction from the web;
large-scale probabilistic databases and crowd-sourcing.
* Multi-core & cluster-distributed machine learning;
probabilistic programming in Scala.
* Natural language understanding with joint inference, 
approximate inference, minimal supervision, 
and learning alignments to structured data.

UMass offers an attractive environment for research at the
intersection of machine learning and textual information---with
significant strength in information retrieval, social network
analysis, data mining, databases, and many areas of machine learning.
We also have strong ties to our statistics department and other nearby
universities.  We have large staff and computing infrastructure to
support significant projects.

Ranked among the top AI groups in the U.S., UMass has a highly 
collaborative CS department.  UMass is located in bucolic
western New England, surrounded by five other colleges, and also
within day-trip range of both Boston and New York.


Prospective candidates should email both Andrew McCallum
<mccallum at cs.umass.edu>, and Jean Joyce <jean at cs.umass.edu> about your
interest.

The University of Massachusetts is an Affirmative Action/Equal
Opportunity employer.