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Research Scientist - Knowledge Representation and Reasoning

          

researching novel representations and algorithms to enable decision makers to exploit urban and environmental data and information and linked open data

IBM Research Company: IBM Research
Location: Dublin, Ireland
Web: www.ibm.com/ie/smarterplanet/technologycentre/

Job ID: RES-0414696

Job description
The Smarter Cities Technology Centre (SCTC) at the IBM Dublin Research Laboratory, Ireland is accepting applications for full-time researchers from entry-level through principal investigators.

We are researching novel representations and algorithms to enable decision makers to exploit urban and environmental data and information and linked open data. We are creating efficient representations to express and reason about spatial and temporal concepts, tools for to automate knowledge acquisition from people and repositories, and systems for large scale knowledge management. Relevant areas include:

  • Knowledge modelling,
  • Representation, inference and reasoning systems
  • Implementation and optimisation of knowledge acquisition systems and applications
  • Representation & reasoning on spatio-temporal data
We are looking for individuals who will be able to continue their existing field of research within our ongoing and new research projects.

The successful candidate will must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents. As a researcher you will be expected to formalise challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.

Required:

  • Doctoral degree in Computer Science, preferably with a focus on knowledge representation, artificial intelligence, cognitive systems, or learning systems
  • Strong publication record in top-tier research conferences and journals
The Smarter Cities Technology Centre is part of IBM Research and was created to take on the challenges of our increasingly urbanized world. We are an R&D organization that works closely with city authorities, universities, and small/large businesses to advance science & technology for smarter urban and environmental systems. We aim to expand our highly skilled and cross-disciplinary team to as many as 200 researchers and software engineers. Areas we currently focus on include: data mining and machine learning; statistical modeling & optimisation, control and decision systems, social, semantic web; distributed information systems; knowledge & data engineering, geospatial analysis and visualisation, simulation, real-time computing, and urban and environmental systems, e.g., water, energy, transportation.

We offer:

  • A stimulating, cross-disciplinary environment in a leading research organisation,
  • Opportunities for a unique combination of scientific and industrial research into real-world problems
  • Excellent ties to research groups worldwide
  • Up-to-date infrastructure and resources
  • The ability to take part in large-scale international research projects
Required
  • Doctorate Degree
  • At least 3 years experience in knowledge modelling or knowledge
  • representation and reasoning systems
  • At least 3 years experience in working with state of the art
  • knowledge representation languages and tools
  • At least 3 years experience in programming in Java or C++
  • English: Fluent
Preferred
  • At least 2 years experience in creating software for representing or
  • reasoning on geospatial or temporal data
  • At least 2 years experience in working with open data, preferrably
  • open government data
Additional information

You can read more about us.

_Contact_:
Apply online here.

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


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