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Research Associate on foundations for non-parametric probabilistic programming

Applications for this vacancy closed on 17 September 2020 at 12:00PM
<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><p>A full-time postdoctoral researcher post, fixed-term for 2 years, reporting to Sam Staton, is available to investigate the theory of probabilistic programming.<br> <br>The appointee will work on one or more of the following topics: foundational issues for non-parametric programming languages, such as stochastic memoization; probabilistic representation theorems (such as generalized Aldous-Hoover or de Finetti theorems and their categorical setting); general purpose inference algorithms for non-parametrics; and applications of non-parametric probabilistic programming such as social science applications, program synthesis, or connections to deep net architectures. The exact scope of the research will depend on the skills and experience of the successful candidate.<br> <br>Candidates should have a PhD (or be very near completion) in computer science or mathematics, with a strong background in one or more of the following: probabilistic programming, theory of statistics, category theory, measure theory or programming language theory.<br> <br>The primary selection criteria include the abilities to conduct and complete research projects (as witnessed by peer-reviewed publications),<br> <br>We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department.</p><br> <p>The closing date for applications is 12 noon on 17th September 2020.</p><br> <p>Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.</p> </div>
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Department of Computer Science, Parks Road, Oxford.
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vacancy:applicationClosingDate
2020-09-17 12:00:00+01:00
vacancy:applicationOpeningDate
2020-08-18 09:00:00+01:00
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False
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A full-time postdoctoral researcher post, fixed-term for 2 years, reporting to
Sam Staton, is available to investigate the theory of probabilistic
programming.

The appointee will work on one or more of the following topics: foundational
issues for non-parametric programming languages, such as stochastic
memoization; probabilistic representation theorems (such as generalized
Aldous-Hoover or de Finetti theorems and their categorical setting); general
purpose inference algorithms for non-parametrics; and applications of non-
parametric probabilistic programming such as social science applications,
program synthesis, or connections to deep net architectures. The exact scope
of the research will depend on the skills and experience of the ...

A full-time postdoctoral researcher post, fixed-term for 2 years, reporting to Sam Staton, is available to investigate the theory of probabilistic programming.

The appointee will work on one or more of the following topics: foundational issues for non-parametric programming languages, such as stochastic memoization; probabilistic representation theorems (such as generalized Aldous-Hoover or de Finetti theorems and their categorical setting); general purpose inference algorithms for non-parametrics; and applications of non-parametric probabilistic programming such as social science applications, program synthesis, or connections to deep net architectures. The exact scope of the research will depend on the skills and experience of the successful ...

label
Research Associate on foundations for non-parametric probabilistic programming
notation
147321
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