Connectionists: Oxford : postdoc positions available : probabilistic programming

[Frank Wood]

 We are seeking two full-time probabilistic programming postdocs to join
Dr. Frank Wood’s research group at the Department of (Information)
Engineering Science at Oxford.  The posts are funded by DARPA under its
Probabilistic Programming for Advanced Machine Learning program (
http://tinyurl.com/fwoxpp) and are available immediately.



Oxford is part of a MIT/Oxford/Cambridge collaborative team. Dr. Wood (in
Engineering) and Dr. Nando de Freitas (in Computer Science) are tasked with
engaging in research on general-purpose inference and probabilistic
programming applications. Oxford participants are already closely
collaborating with both MIT (Dr. Vikash Mansingkha and Dr. Joshua
Tenenbaum) on the development of a practical, scalable probabilistic
programming environment and Cambridge (Dr. Zoubin Ghahramani) on models,
inference, and applications.  Candidates will be responsible for conducting
wide-ranging, largely self-determined research at the intersection of
probability, statistics, inference, modeling, compiler and language theory,
and applications.  Candidates will also be responsible for contributing to
the development of a practical, deployable, scalable probabilistic
programming system.  Candidates will be expected to travel between sites
and to collaborate widely.



Ideal candidates will possess a) a strong machine learning background (with
strengths in unsupervised generative modeling, general-purpose
sampling-based inference, and Bayesian nonparametrics), b) a strong
computer science background (with strengths in automata theory, compiler
and interpreter design, and practical functional coding ability) and c) a
strong inference and probability theory background.  Candidates with
excellent inference and languages theoretical backgrounds are particularly
encouraged to apply.



Candidates must possess a PhD in computer science, statistics, or another
closely related discipline.



Informal enquiries may be addressed to Frank Wood  (email:
fwood at robots.ox.ac.uk). Please include “[PPAML PDRA]” in the subject line.



More information can be found under id 111173  on
http://www.eng.ox.ac.uk/about-us/jobs
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