PHD STUDENTSHIP AT UCL IN LOGIC-BASED KNOWLEDGE REPRESENTATION AND REASONING
Duration of Studentship: 3 years full-time
Stipend: £15,863 + fees
The Department of Information Studies at University College London (UCLDIS) invites applications for a three year fully funded research studentship in the area of Knowledge Representation and Reasoning.
UCL, based in the heart of London, is consistently ranked as one of the World's top universities. It has a strong culture and tradition of interdisciplinary research, which is one of the factors in it currently attracting more research funding than any other UK university. UCLDIS is a multidisciplinary department, with research and teaching programmes across a broad spectrum of information-related subject areas such as library studies, archive studies, publishing, digital humanities, information management, computing and artificial intelligence. It has four distinct research groups, including the Knowledge Organization and Representation Group (KOARG,http://www.ucl.ac.uk/ dis/research/koarg) which has a focus on the theoretical aspects and development of knowledge- and logic-based systems.
Studentship Description
The broad aim of the studentship will be to further research in the general area of logic-based knowledge representation and reasoning. The research will be co-supervised by Dr Rob Miller and Dr Antonis Bikakis, and so proposals for research that match with the particular interests of these individuals are particularly welcome. These interests include Reasoning about Actions, Commonsense Reasoning, Argumentation, Nonmonotonic Reasoning, Defeasible Reasoning, Logic Programming and Ambient Intelligence. Following normal UCL procedure, initial registration will be for the degree of MPhil with an expectation that the student will successfully upgrade to PhD registration in their second year. It is expected that the studentship will commence on 1 October 2014, although other start dates are possible. It will include full payment of UK/EU fees and an annual stipend as specified above.
Person Specification
Applicants should have a masters-level degree in an area related to computer science, mathematics or logic, an interest in the research areas mentioned above, and good written, communication, and organisational skills. A familiarity with logic-based knowledge representation and reasoning and/or knowledge-based systems would be an asset.
Eligibility and Application Procedure
Due to financial constraints on the level of fees included in the studentship, applications are restricted to candidates from the UK or other EU countries. General information for doctoral applicants is available on the DIS webpages at:http://www.ucl.ac.uk/dis/ phd.
There will be a two stage application process for this scholarship. In
the first instance, Â please email a full CV, including the names and
contact details of two referees, and a statement of proposed research
(not exceeding 750 words) to Kerstin Michaels (k.michaels@ucl.ac.uk).
For further details of the studentship or an informal discussion please contact DrRob Miller (r.s.miller@ucl.ac.uk)) or Dr Antonis Bikakis (a.bikakis@ucl.ac.uk).
Closing Date: 23 May 2014
Latest time for the submission of applications: 17.00
Studentship Start Date: 1 October 2014
See link: www.ucl.ac.uk/dis/Research- studentships
Duration of Studentship: 3 years full-time
Stipend: £15,863 + fees
The Department of Information Studies at University College London (UCLDIS) invites applications for a three year fully funded research studentship in the area of Knowledge Representation and Reasoning.
UCL, based in the heart of London, is consistently ranked as one of the World's top universities. It has a strong culture and tradition of interdisciplinary research, which is one of the factors in it currently attracting more research funding than any other UK university. UCLDIS is a multidisciplinary department, with research and teaching programmes across a broad spectrum of information-related subject areas such as library studies, archive studies, publishing, digital humanities, information management, computing and artificial intelligence. It has four distinct research groups, including the Knowledge Organization and Representation Group (KOARG,http://www.ucl.ac.uk/
Studentship Description
The broad aim of the studentship will be to further research in the general area of logic-based knowledge representation and reasoning. The research will be co-supervised by Dr Rob Miller and Dr Antonis Bikakis, and so proposals for research that match with the particular interests of these individuals are particularly welcome. These interests include Reasoning about Actions, Commonsense Reasoning, Argumentation, Nonmonotonic Reasoning, Defeasible Reasoning, Logic Programming and Ambient Intelligence. Following normal UCL procedure, initial registration will be for the degree of MPhil with an expectation that the student will successfully upgrade to PhD registration in their second year. It is expected that the studentship will commence on 1 October 2014, although other start dates are possible. It will include full payment of UK/EU fees and an annual stipend as specified above.
Person Specification
Applicants should have a masters-level degree in an area related to computer science, mathematics or logic, an interest in the research areas mentioned above, and good written, communication, and organisational skills. A familiarity with logic-based knowledge representation and reasoning and/or knowledge-based systems would be an asset.
Eligibility and Application Procedure
Due to financial constraints on the level of fees included in the studentship, applications are restricted to candidates from the UK or other EU countries. General information for doctoral applicants is available on the DIS webpages at:http://www.ucl.ac.uk/dis/
For further details of the studentship or an informal discussion please contact DrRob Miller (r.s.miller@ucl.ac.uk)) or Dr Antonis Bikakis (a.bikakis@ucl.ac.uk).
Closing Date: 23 May 2014
Latest time for the submission of applications: 17.00
Studentship Start Date: 1 October 2014
See link: www.ucl.ac.uk/dis/Research-