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<p dir="auto">Looking for new opportunities for the new year? Have a few loose ends over the holiday period? Why not apply for two post-doc opportunities in the University of Oxford?</p>
<p dir="auto">Best<br>
Mike</p>
<hr style="background:#333; background-image:linear-gradient(to right, #ccc, #333, #ccc); border:0; height:1px" height="1">
<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" style="color:#3983C4">http://www.robots.ox.ac.uk/~mosb</a><br>
<a href="http://twitter.com/maosbot" style="color:#3983C4">http://twitter.com/maosbot</a></p>
<h2 style="font-size:1.2em">Postdoctoral Research Assistant in Machine Learning</h2>
<h3 style="font-size:1.1em">Department of Engineering Science, Oxford</h3>
<p dir="auto"><em>Grade 7: £30,738 - £37,768 p.a.</em></p>
<p dir="auto">More details and applications here: <a href="https://is.gd/6PKtaR" style="color:#3983C4">https://is.gd/6PKtaR</a>. The closing date for applications is <strong>12.00 midday on 5th January 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 two projects (sequentially): the first funded by Pearson and Nesta (until 28 February 2017) and the second by the Health Foundation (thereafter).</p>
<p dir="auto">Your role in both projects is to develop novel probabilistic machine learning algorithms for economic data characterising the future of employment. The first project aims to shed light on the mix of skills and competencies that will be required for the types of jobs that the US and UK economies will need in 15 years’ time, and has been described in blog posts from <a href="http://blog.pearson.com/learning-needs-a-plan-for-the-revolution-we-can-already-glimpse/" style="color:#3983C4">Pearson</a> and <a href="http://www.nesta.org.uk/blog/employment-2030-skills-competencies-and-implications-learning" style="color:#3983C4">Nesta</a>, and in an article from <a href="http://qz.com/749629/what-skills-will-human-workers-need-when-robots-take-over-new-research-will-let-the-machines-decide/" style="color:#3983C4">Quartz</a>. The second project examines automation and computerisation in UK primary healthcare delivery; the project’s website is <a href="http://healthautomation.oii.ox.ac.uk" style="color:#3983C4">here</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" style="color:#3983C4">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>
<h2 style="font-size:1.2em">Postdoctoral Research Assistant in Machine Learning by Bayesian Optimisation for Experimental Research in Quantum Nanodevices</h2>
<h3 style="font-size:1.1em">Department of Materials, Parks Road, Oxford</h3>
<p dir="auto"><em>Grade 7: Salary in the range £30,738 - £34,576 p.a.</em></p>
<p dir="auto">More details and applications here: <a href="https://is.gd/mXuMDF" style="color:#3983C4">https://is.gd/mXuMDF</a>. <br>
The closing date for applications is <strong>12.00 midday on 5th January 2017.</strong></p>
<p dir="auto">We are seeking to appoint a Postdoctoral Research Assistant whose aim will be to harness Machine Learning techniques for the process of scientific discovery. Duties will include development and application of Bayesian Optimisation for measurements of single-molecule devices, and training them on simulated experimental data. The post is available for up to 3 years and is under the supervision of Professor Andrew Briggs.</p>
<p dir="auto">The project's overarching aim is to identify properties of molecular systems that are desirable in future information processing, especially lower power switching to minimise energy costs (and consequent environmental impact). You will engage and work collaboratively with others involved in the programme including Professor Michael Osborne, Department of Engineering Science, who will supervise the development of the machine learning methods.</p>
<p dir="auto">You will have a good first degree and a completed doctorate (or nearly completed) in a relevant discipline. You will have expertise and experience in software engineering, along with demonstrated expertise in model-based machine learning.</p>
<p dir="auto">The Department of Materials is actively promoting the provision of a family friendly working environment and together with the University of Oxford recognises the demands of work/life balance. Therefore for this project we encourage applications from candidates who wish either to hold these positions on a full-time, or part-time basis or need flexibility in their working hours and will discuss these opportunities with shortlisted applicants at interview.</p>
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