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<p dir="auto">Come help understand how machine learning will transform employment in healthcare!</p>
<p dir="auto">Best<br>
Mike</p>
<hr>
<p dir="auto">Michael A Osborne<br>
Dyson Associate Professor in Machine Learning, Engineering Science<br>
Co-Director, Oxford Martin Programme on Technology and Employment<br>
Faculty Member, Oxford-Man Institute of Quantitative Finance<br>
Official Fellow, Exeter College<br>
University of Oxford<br>
+44 (0)1865 616622<br>
<a href="http://www.robots.ox.ac.uk/%7Emosb">http://www.robots.ox.ac.uk/~mosb</a><br>
<a href="http://twitter.com/maosbot">http://twitter.com/maosbot</a></p>
<h2>Postdoctoral Research Assistant in Machine Learning</h2>
<h3>Department of Engineering Science, Oxford</h3>
<p dir="auto"><em>Grade 7: £31,076 - £38,183 p.a.</em></p>
<p dir="auto">More details and applications here: <a href="https://is.gd/i2mA7D">https://is.gd/i2mA7D</a>. The closing date for applications is <strong>12.00 midday on 23rd of March 2017.</strong></p>
<p dir="auto">We are seeking a full-time Postdoctoral Research Assistant to join the machine learning research group at the Department of Engineering Science (central Oxford). The post is fixed-term to 31 May 2018. The post will involve work on a project funded by the Health Foundation.</p>
<p dir="auto">Your role in the project is to develop novel probabilistic machine learning algorithms for economic data characterising the future of employment. The project examines automation and computerisation in UK primary healthcare delivery; the project’s website is here: <a href="http://healthautomation.oii.ox.ac.uk">http://healthautomation.oii.ox.ac.uk</a>.</p>
<p dir="auto">You should possess a good first degree in Engineering, Computer Science, Mathematics, Statistics, Economics or similar, with specialisation in probabilistic models and have or are about to complete a PhD in a relevant area. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application. Informal enquiries may be addressed to Prof Michael Osborne (email: <a href="mailto:mosb@robots.ox.ac.uk">mosb@robots.ox.ac.uk</a>).</p>
<p dir="auto">The department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.</p>
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