Connectionists: Postdoc in Machine Learning, University of Oxford

[Michael Osborne]

What will machine learning mean for creativity? We're recruiting a 
machine learning post-doc for a cool interdisciplinary project in the 
University of Oxford on this question. The application site is below, 
and the closing date for applications is **12.00 midday BST on 22 Jun 
2018.**

https://is.gd/sKcvDd

## Postdoctoral Research Assistant in Machine Learning

### Department of Engineering Science, Oxford

*Grade 7: £31,604 - £34,520 .*

More details and applications here: https://is.gd/sKcvDd.

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 is fixed-term to 31 October 2019. The post 
will entail working on a project titled “Creative Algorithmic 
Intelligence: Capabilities and Complementarity”. Your role in the 
project is to develop novel probabilistic machine learning algorithms 
for data characterising creative tasks.

Creativity has often been considered beyond the scope of algorithmic 
intelligence: however, recent years have produced striking examples of 
algorithms, that might be called creative, contributing to cultural 
production. Such examples include the algorithmic production of news, 
films and chamber music. This project will assess the scope of present 
and future capabilities of creative algorithmic intelligence, and to 
what degree these algorithms can be complementary to human creativity.

The project represents an interdisciplinary collaboration with Professor 
Rebecca Eynon in the Oxford Internet Institute. The project will make 
use of mixed methods, using machine learning techniques underpinned by 
robust and rich qualitative data. Your responsibility is for algorithmic 
classification and modelling to study the complementarity of creative 
algorithmic intelligence to workplace tasks, and you will work closely 
with another postdoctoral team member based in the Oxford Internet 
Institute.

You should hold a relevant PhD/DPhil or be near completion in 
engineering, computer science, mathematics, statistics, economics or 
similar, with specialisation in probabilistic models (with the 
possibility to underfill at Grade 6: £28,098 - £33,418 p.a. if the 
candidate holds a relevant degree/Masters and is working on PhD/DPhil) 
together with relevant experience;

Informal enquiries may be addressed to Professor Michael Osborne at 
mosb at robots.ox.ac.uk.

Further information can be found at: www.eng.ox.ac.uk/jobs/home

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.

Kindest
Mike

__________________________________
Michael A Osborne:
Dyson Associate Professor in Machine Learning, Engineering Science;
Co-Director, Oxford Martin Programme on Technology and Employment;
Co-Director, EPSRC Centre for Doctoral Training in Autonomous 
Intelligent Machines and Systems; and
Official Fellow, Exeter College.
All are at the University of Oxford.
+44 (0)1865 616622
http://www.robots.ox.ac.uk/~mosb
http://twitter.com/maosbot
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