Data Scientist in App-based Signal Processing
Mathematics and Statistics,Statistics,Computer Science,Computer Science,Information Systems
Short info about job
Company: University of Oxford
Department: Big Data Institute (BDI)
Salary: £31,076 to £38,183 Grade 7 p.a. (pro rata for part-time)
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1458 4187957
Fax: +44-1289 6772766
Detail information about job Data Scientist in App-based Signal Processing. Terms and conditions vacancy
The Oxford University Big Data Institute (BDI) is a new interdisciplinary research centre aiming to develop, evaluate and deploy efficient methods for acquiring and analysing biomedical data at scale and for exploiting the opportunities arising from such studies. The Nuffield Department of Population Health (NDPH), a key partner in the BDI, contains world-renowned population health research groups and is an excellent environment for multi-disciplinary teaching and research.
Based within the BDI building, you will be part of initiative to create new open source digital phenotyping methods for brain health. This will involve: developing novel signal processing algorithms to work with data streams both on and from mobile devices; working with a variety of data streams including, motion, voice, text, location and touch; creating probabilistic models to analyse responses from apps and games; using both web service and standard data science toolkits; building visualisations and analytic tools for other analysts to use; producing statistical analyses across large populations of users; scaling analyses so that they can be applied to millions of participants’ data; and, collaborating with other data scientist around the world on analyses of open datasets.
To be considered you will have a PhD involving a substantial data science component and a BSc or MSc in science, maths, engineering or computing. You will require demonstrable knowledge of scientific problem solving using data science methods and experience in signal processing. You will also have exceptional attention to detail and the strong communication skills.
Informal enquiries should be addressed to Dr Chris Hinds ([email protected]).
The position is full-time (part-time considered) and fixed-term for 2 years.
The closing date for applications is 12.00 noon on Monday 18 September 2017.