Connectionists: Two postdoc jobs in machine learning at the University of Oxford, deadline 5 Jan

[Michael A Osborne]

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?

Best
Mike

__________________________________
Michael A Osborne
Dyson Associate Professor in Machine Learning, Engineering Science
Co-Director, Oxford Martin Programme on Technology and Employment
Faculty Member, Oxford-Man Institute of Quantitative Finance
Official Fellow, Exeter College
University of Oxford
+44 (0)1865 616622
http://www.robots.ox.ac.uk/~mosb
http://twitter.com/maosbot

## Postdoctoral Research Assistant in Machine Learning

### Department of Engineering Science, Oxford

*Grade 7: £30,738 - £37,768 p.a.*

More details and applications here: https://is.gd/6PKtaR. The closing 
date for applications is **12.00 midday on 5th January 2017.**

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).

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 
[Pearson](http://blog.pearson.com/learning-needs-a-plan-for-the-revolution-we-can-already-glimpse/) 
and 
[Nesta](http://www.nesta.org.uk/blog/employment-2030-skills-competencies-and-implications-learning), 
and in an article from 
[Quartz](http://qz.com/749629/what-skills-will-human-workers-need-when-robots-take-over-new-research-will-let-the-machines-decide/). 
The second project examines automation and computerisation in UK primary 
healthcare delivery; the project’s website is 
[here](http://healthautomation.oii.ox.ac.uk).

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: mosb at robots.ox.ac.uk).

The department holds an Athena Swan Bronze award, highlighting its 
commitment to promoting women in Science, Engineering and Technology.

## Postdoctoral Research Assistant in Machine Learning by Bayesian 
Optimisation for Experimental Research in Quantum Nanodevices

### Department of Materials, Parks Road, Oxford

*Grade 7: Salary in the range £30,738 - £34,576 p.a.*

More details and applications here: https://is.gd/mXuMDF.
The closing date for applications is **12.00 midday on 5th January 
2017.**

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.

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.

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.

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.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20161221/4d63e419/attachment.html>