Keywords: vector space embeddings, statistical relational learning, knowledge 
representation, neural networks, explainable AI

Duration: 24 months
Start date: 1 June 2017 (or later this year)
Closing date: 20 May 2017

Applications are invited for two Postdoctoral Research Associate posts at 
Cardiff University’s School of Computer Science & Informatics:

  *   The focus of the first position will be on developing methods for 
exploiting entity embeddings in statistical relational learning, to enable 
robust plausible reasoning from sparse relational data. Entity embeddings can 
be used to identify plausible formulas that are missing from a given knowledge 
base, intuitively by applying a kind of similarity or analogy based reasoning. 
Statistical relational learning can also be used to infer plausible formulas, 
but instead relies on modelling statistical dependencies among relational facts 
at the symbolic level. Unifying both methodologies will allow us to develop 
powerful inference methods that combine their complementary strengths. The 
resulting method will be applied to zero and one shot learning tasks, with a 
focus on automated knowledge base completion.

  *   The focus of the second position will be on learning vector space 
embeddings of events and the causal relations between them. In contrast to 
existing approaches, the learned embeddings will explicitly model which 
entities participate in the events, how they are related, and how their 
relationships are affected by different events. This will require combining 
ideas from neural network models for event embedding (e.g. based on LSTMs) with 
ideas from knowledge graph embedding models. Among others, the resulting model 
will allow us to uncover more intricate causal relationships, to generate 
supporting explanations for causal predictions, to incorporate prior knowledge, 
and to transfer learned knowledge between domains. Intended applications 
include recognising textual entailment, stock market prediction, and 
event-focused information retrieval.

Successful candidates are expected to have a strong background in natural 
language processing, machine learning, or knowledge representation. This 
research will be part of Steven Schockaert's FLEXILOG project, which is funded 
by the European Research Council (ERC)

Cardiff University is a member of the Russell Group of research universities, 
and was ranked 5th in the UK based on the quality of research in the 2014 
Research Evaluation Framework. The university has a successful School of 
Computer Science & Informatics with an international reputation for its 
teaching and research activities. Cardiff is a strong and vibrant capital city 
with good transportation links and an excellent range of housing available.

More information:
For more details about the positions, please contact Steven Schockaert 
(<>). For 
instructions on how to apply, please go to<> and search for job 
5878BR. Please note the requirement to evidence all essential criteria in the 
supporting statement.
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