Reproducibility of text and data mining workflows.

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

Reproducibility, i.e. the ability of an entire experiment or study to be rerun obtaining the same results, is one of the key challenges scientists are facing today, with only a minority of research studies being reproducible. This PhD will analyse the limitations of existing methodologies, frameworks and workflow engines, and will aim to advance the state-of-the-art in the area of developing reproducible text and data mining workflows.

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

Please contact Dr. Petr Knoth [Email Address Removed] for further references and to discuss your interest prior to writing your research proposal.

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