Research Associate/Senior Research Associate in Machine Learning for Physical Activity Recognition from Wearable Sensors

University of Bristol - Faculty of Engineering - Department of Electrical & Electronic Engineering

The University of Bristol invites applications for an immediate position in the area of activity recognition from wearable sensors using machine learning.

You will be part of the H2020 EurValve project team, working on Personalised Decision Support for Heart Valve Disease. The EurValve partners form a multi-disciplinary team from 13 academic and industrial partners from across Europe. The role of the University of Bristol is to develop wearable sensors and associated software that should enable clinicians to gain an understanding of a patient’s lifestyle insofar it is relevant to heart valve disease, and how a patient’s lifestyle is affected by different clinical interventions.

The advertised role is for the research and development of advanced machine learning techniques for activity recognition from sensor data.

You will be based in the Merchant Venturers School of Engineering at the University of Bristol. You will be working in close collaboration with the SPHERE Interdisciplinary Research Collaboration team (, which is developing sensors for the home to diagnose and help manage health and wellbeing conditions.

You will hold (or will be expected to obtain soon) a strong PhD in machine learning or related areas. In addition to a strong research track record you will also have excellent communication and presentation skills, and the enthusiasm to develop new and imaginative solutions for digital healthcare.

This post is offered on a full time open ended contract funded until 31st January 2019.

Informal enquiries can be made to: Dr. Raul Santos-Rodriguez (, Dr. Robert Piechocki (, or Prof. Ian Craddock (

The University of Bristol is committed to equality and we value the diversity of our staff and students.

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South West England