|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||Full tuition fees, for UK/EU students, and a tax-free stipend of £15,009 per year. International students will also be considered.|
|Placed On:||31st May 2019|
|Closes:||30th August 2019|
A fully-funded 4-year PhD studentship on inferring and using probable provenance, at the University of Southampton, a top university for Computer Science in the UK and worldwide.
Commercial and government decisions are driven by data. Provenance is the record of how data and processes were created, modified and used. It is used to support quality assessments for data, provide traceability, identify possible system intrusions, etc. Unfortunately, all of the uses of provenance require that provenance information be captured by each system within a system of systems. This “capture problem” is costly and does not scale. Instead, we seek to build observation points external to any pre-built system that will create partial, or inferred, provenance that may not be exact, but is probable provenance.
Within settings in which probable provenance is possible, is it useful? How can it be used, how should it not be used? We are working across several scenarios such as: Autonomous Vehicles, data science computational pipelines, and behavioural observations of humans in labs to create techniques to infer probably provenance.
This research project studies algorithms, techniques and systems for the above problems. It will involve developing algorithmic and theoretical tools, and implementing platforms and systems that are required. The project is open to customisation based on the particular interests of the student. The student will be strongly encouraged and supported to publish in academic journals and travel to conferences to present his/her research.
For further details, please contact: Dr Adriane Chapman (Adriane.Chapman@soton.ac.uk), attaching a CV and preferably a recent transcript in English.
Entry requirements: first or upper second-class degree or equivalent, very good theoretical and programming skills are required, experience with one or more of the following: data stream management; databases; provenance; probability.
Closing date: Early application date is 30th May 2019. Depending on the funds remaining in place, formal applications should be received no later than 31 August 2019 for standard admissions.
Duration: four years (full-time)
Funding: full tuition fees, for UK/EU students, and a tax-free stipend of £15,009 per year. International students will also be considered.
Assessment: Nine month and 18 month reports, viva voce and thesis examination
Start date: typically October
Type / Role: