## 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://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=125305).
We are seeking a full-time Postdoctoral Research Assistant in
Decentralised Probabilistic Modelling for Energy Storage Systems to join
the Machine Learning Research Group at the Department of Engineering
Science (central Oxford). The post is funded by the Korea Institute of
Energy Technology Evaluation and Planning and is fixed-term for 12
months or until 30 September 2017, whichever is shorter.
The project is entitled “Intelligent Management of Multiple
Decentralised Energy Storage Systems”. You will be responsible for
research into non-parametric time-series prediction techniques, with a
particular focus on networked, peer-to-peer, decentralised software
implementations. You will develop scalable non-parametric Bayesian
models for sequential inference, fusing information from a network of
nodes reporting noisy, local, measurements.
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. Experience in Bayesian inference and practical
application in uncertain domains as well as expertise and experience in
computer programming are essential. You should have a track record of
published work concomitant with experience and the ability to work well
independently and as part of a team.
Informal enquiries may be addressed to Professor Michael Osborne
([email protected]).
Only applications received before **12.00 midday on Friday 14 October
2016** can be considered. 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.
The Department holds an Athena Swan Bronze award, highlighting its
commitment to promoting women in Science, Engineering and Technology.
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 273007
http://www.robots.ox.ac.uk/~mosb
http://twitter.com/maosbot
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