Seeking postdoc (or contractor) for next generation Stan language research and development

August 30, 2019
By

[This article was first published on R – Statistical Modeling, Causal Inference, and Social Science, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The Stan group at Columbia is looking to hire a postdoc* to work on the next generation compiler for the Stan open-source probabilistic programming language. Ideally, a candidate will bring language development experience and also have research interests in a related field such as programming languages, applied statistics, numerical analysis, or statistical computation.

The language features on the roadmap include lambdas with closures, sparse matrices and vectors, ragged arrays, tuples and structs, user-defined Jacobians, and variadic functions. The parser, intermediate representation, and code generation are written in OCaml using the Menhir compiler framework. The code is hosted on GitHub in the stanc3 repo; the current design documents are in the design docs repo. The generated code is templated C++ that depends on the automatic differentiation framework in the Stan math library and is used by Stan’s statistical inference algorithms.

The research and development for Stan will be carried out in collaboration with the larger Stan development team, which includes a large group of friendly and constructive collaborators within and outside of Columbia University. In addition to software development, the team has a diverse set of research interests in programming language semantics, applied statistics, statistical methodology, and statistical computation. Of particular relevance to this project is foundational theory work on programming language semantics for differentiable and probabilistic programming languages.

The position would be housed in the Applied Statistics Center at Columbia University and supervised by Bob Carpenter. The initial appointment will be for one year with a possible reappointment for a second year.

To apply, please send a CV and a statement of interest and experience in this area if not included in the CV to Bob Carpenter, [email protected]. The position is available immediately and we will review applications as they arrive.

Thanks to Schmidt Futures for the funding to make this possible!


* We could also hire a contractor on an hourly basis. For that, I’d be looking for someone with experience who could hit the ground running with the OCaml code.

To leave a comment for the author, please follow the link and comment on their blog: R – Statistical Modeling, Causal Inference, and Social Science.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)