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Dr P Knoth, Prof Z Zdrahal
No more applications being accepted
Competition Funded PhD Project (Students Worldwide)
About the Project
Knowledge Media Institute (KMi) - http://kmi.open.ac.uk/
Stipend: £14,553 per year net plus fee bursary, Ref: 9668
Based in Milton Keynes
We are offering a fully-funded PhD studentship in Text and Data Mining commencing on 1st October 2017. Applications are invited from UK, EU and international students for full-time, 3-year study.
Project overview
With the rise of fake and misleading news, it is becoming harder for people to understand which facts can and which cannot be trusted. The goal of this PhD is to develop new methods to automatically discover evidence to support or refute claims. It is expected that this PhD project will look into ways of extracting facts from highly authoritative literature, such as research papers and patents, and will use these facts to identify arguments on social networks or in other media that are either in conflict or consistent with these facts.
Please contact Dr. Petr Knoth [Email Address Removed] for further references and to discuss your interest prior to writing your research proposal.
Requirements/expected experience
- Good knowledge of NLP, text-mining, information extraction or information retrieval
- Understanding of machine learning fundamentals
- Excellent programming and especially prototyping skills
- Ability to process large datasets
- Understanding of the research lifecycle (ability to state hypotheses, design new methods, implement prototypes, evaluate methods, interpret results, adapt methods, etc.)
- Prior experience of data analysis and machine learning
About the research centre
The Knowledge Media Institute (KMi) is a leading research centre associated with the Open University. Research in KMi focuses on web & data science, natural language processing, artificial intelligence and their applications to solve real-world problems. KMi offers students an intellectually challenging environment with exceptional research and computer facilities.
Deadline for applications: 10th April 2017
Stipend: £14,553 per year net plus fee bursary, Ref: 9668
Based in Milton Keynes
We are offering a fully-funded PhD studentship in Text and Data Mining commencing on 1st October 2017. Applications are invited from UK, EU and international students for full-time, 3-year study.
Project overview
With the rise of fake and misleading news, it is becoming harder for people to understand which facts can and which cannot be trusted. The goal of this PhD is to develop new methods to automatically discover evidence to support or refute claims. It is expected that this PhD project will look into ways of extracting facts from highly authoritative literature, such as research papers and patents, and will use these facts to identify arguments on social networks or in other media that are either in conflict or consistent with these facts.
Please contact Dr. Petr Knoth [Email Address Removed] for further references and to discuss your interest prior to writing your research proposal.
Requirements/expected experience
- Good knowledge of NLP, text-mining, information extraction or information retrieval
- Understanding of machine learning fundamentals
- Excellent programming and especially prototyping skills
- Ability to process large datasets
- Understanding of the research lifecycle (ability to state hypotheses, design new methods, implement prototypes, evaluate methods, interpret results, adapt methods, etc.)
- Prior experience of data analysis and machine learning
About the research centre
The Knowledge Media Institute (KMi) is a leading research centre associated with the Open University. Research in KMi focuses on web & data science, natural language processing, artificial intelligence and their applications to solve real-world problems. KMi offers students an intellectually challenging environment with exceptional research and computer facilities.
Deadline for applications: 10th April 2017
