2-years post-doc position in Machine Learning at Imperial College

An exciting opportunity has arisen for a Research Associate to undertake
work in machine learning as part of the newly founded Leverhulme Centre
for the Future of Intelligence (CFI). The postdoctoral Research
Associate will be working with Dr Marc Deisenroth (as well as Dr Adrian
Weller and Prof Zoubin Ghahramani from the University of Cambridge) on
developing theory and methods to ensure that machine learning/artificial
intelligence systems are scalable, reliable and interpretable.
Responsibilities and duties include developing research objectives and
proposals; presentations and publications; assisting with teaching and
learning support; liaising and networking with colleagues and students;
planning and organising research resources and workshops. The roles will
combine strong theoretical and analytical skills with programming
experience.
The successful applicant will have or be near completing a PhD (or
equivalent) in computer science, information engineering, statistics or
a related area, and will have extensive research experience and a strong
publication record in machine learning and AI, including ideally papers
in top machine learning conferences such as NIPS, UAI, ICML, and
AISTATS. Excellent mathematical and programming skills are essential.
Experience in two or more of the following areas: probabilistic
modelling and scalable approximate inference; deep learning, MCMC
methods; Bayesian optimization; graphical models will be necessary.
You must have excellent communication skills and be able to organise
your own work with minimal supervision, and to prioritise work to meet
deadlines. Applicants will be expected to have a proven research record
with strong publications in relevant areas. All applicants must be
fluent in English. You will be based at the South Kensington campus.
*Candidates who have not yet been officially awarded their PhD will be
appointed as Research Assistant within the salary range £31,740 -
£33,370 per annum.
How to apply:
Our preferred method of application is online via our website:
http://www3.imperial.ac.uk/employment (please select “job search” then
enter the job title or vacancy reference number EN20170170FH into
“keywords”). Please complete and upload an application form as directed.
Applications must include:
A college application form
A full CV, with a list of all publications
A 2 page research statement indicating what you see are interesting
research issues relating to the above post and why your expertise is
relevant.
For queries regarding the application process please contact:
g.tennant-AT-imperial.ac.uk
Closing Date: *30 June 2017* (Midnight BST)