Early Stage Researcher in Compressive Learning
Computer Science,Computer Science,Information Systems,Artificial Intelligence,Engineering and Technology,Electrical and Electronic Engineering
Short info about job
Company: University of Edinburgh
Department: School of Engineering
Hours: Full Time
Type / Role: PhD
Phone: +44-116 6315460
Fax: +44-1434 9930786
E-mail: N\A
Site: N\A
Detail information about job Early Stage Researcher in Compressive Learning. Terms and conditions vacancy
A PhD position is available to work with Professor Mike Davies and his team on the ERC Advanced grant project, C-SENSE (Exploiting Low Dimensional Models in Sensing, Computation and Processing). This project aims to make theoretical and algorithmic advances in the use of low dimensional data models for sensing, signal processing, and machine learning to reduce computational, storage, and acquisition costs.
The selected candidate will develop new machine learning algorithms that can process compressed data without losing its salient information. The project will explore some exciting new developments in kernel representations, sketching, and compressive learning.
Highly motivated, excellent candidates should ideally hold a valid Masters degree with a specialisation in machine learning and/or signal processing, and should be eligible for immediate admission on the PhD programme at the University of Edinburgh.
Successful candidates will enjoy a dynamic and inspiring environment, as part of Prof. Davies’ research group focusing on exploiting structure for signal processing and machine learning. The group is based in the internationally renowned Institute for Digital Communications (IDCOM) at the University of Edinburgh.
ERC Advanced Grants are awarded to top researchers in Europe to enable them to follow their best ideas and make a real difference in science and beyond.
This post is fixed-term for 3.5 years.
Salary range: £26,829 - £31,076
Vacancy Ref: 040772
Closing Date: 08 September 2017 at 5pm GMT.
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