University of Edinburgh offers Scholarships for Postdoctoral Researcher in Machine Learning at the School of Informatics in UK 2013
An experienced machine-learning researcher is required for an exciting multidisciplinary study of ICT methods for household energy demand reduction, based in one of the UK’s leading machine-learning groups. The post offers the opportunity to work on online and incremental probabilistic inference methods, applied to an unprecedented large and temporally extensive dataset, in a domain that is on a strong upward trajectory with respect to prioritisation and funding. The successful candidate will be a probabilistic machine-learning researcher enthusiastic to work in a multidisciplinary team exploring the use of computational methods for domestic energy demand reduction. The Research Associate will focus on methods for inferring behaviours from noisy time-series data, including data cleansing, anomaly detection, feature-engineering and inference in probabilistic models. In the first year this will include helping to define the requirements for the sensor system (so that the data supports the necessary inferences), and working with the response generation team members to define what inferences are required for effective feedback to householders. Writing up results for academic publication will be an important aspect of the job.
– -Essential knowledge, skills and experience -PhD (or near completion) in a relevant area, or significant research experience since obtaining an undergraduate degree (1st or 2:1 level) or Masters degree in a relevant area.
– Experience with developing probabilistic models for time-series and other kinds of data.
– Experience with online, incremental or highly-scalable machine learning methods.
– Strong programming skills.