Connectionists: Two Postdoc Positions in Machine Learning at the University of Cambridge

[Zoubin Ghahramani]

Two Postdoctoral Research Positions in Machine Learning
University of Cambridge, UK

We are seeking two highly creative and motivated Research
Assistants/Associates to join the Machine Learning Group at the
University of Cambridge. The positions are for up to 24 months with a
possible extension. Details below!
http://www.jobs.cam.ac.uk/job/14617/ (Closing Date: 7 September 2017)
http://www.jobs.cam.ac.uk/job/14619/ (Closing Date: 7 September 2017)

The two positions are funded by Samsung. The successful candidates
will collaborate with Professor Zoubin Ghahramani, Dr. José Miguel
Hernández Lobato, Dr. Isabel Valera and Professor Carl E. Rasmussen,
including one PhD student funded by the same grant and Samsung data
scientists.

Interviews are expected to happen in mid-September 2017 at the
Department of Engineering. A skype interview will be possible for
applicants who cannot attend in person.

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Post 1: This postdoctoral Research Fellow will be working on areas
related to deep learning and Bayesian methods, as well as ideally
having an interest in one-shot learning, semi-supervised learning and
active learning.

Experience in two or more of the following areas will be necessary:
Bayesian methods, deep learning, one-shot learning, semi-supervised
learning and active learning.

http://www.jobs.cam.ac.uk/job/14617/ (Closing Date: 7 September 2017)

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Post 2: This postdoctoral Research Fellow will be working on
automating machine learning methods, addressing problems of automatic
data preprocessing and modelling, including missing data estimation
and outlier identification.

Experience in two or more of the following areas will be necessary:
Bayesian methods, probabilistic programming, MCMC, graphical models,
scalable inference.

http://www.jobs.cam.ac.uk/job/14619/ (Closing Date: 7 September 2017)

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Successful applicants will have or be near to completing a PhD in
computer science, information engineering, statistics, mathematics, physics,
or a related area, with extensive research experience and a strong publication
record. Ideally candidates will have papers in top machine learning conferences
such as NIPS, UAI, ICML, ICLR or AISTATS. Excellent mathematical and programming
skills are essential. 

If you have any questions about these vacancies or the application
process, contact Mrs. Rachel Fogg, email: div-f at eng.cam.ac.uk, Tel:
+44 1223 3 32752

Zoubin Ghahramani FRS
Professor, Machine Learning Group, University of Cambridge |   http://mlg.eng.cam.ac.uk
Chief Scientist, Uber   | https://www.uber.com/info/ailabs/