UC Berkeley | Programmer | Berkeley, CA | REMOTE OK | FULL-TIME or PART-TIME | https://r-nimble.org
The NIMBLE software development team at UC Berkeley is looking for a programmer to help develop the core features of the NIMBLE platform (r-nimble.org). NIMBLE is a hierarchical statistical modeling package for methods such as Markov chain Monte Carlo, particle filtering, and Laplace approximation that are used in many fields of application, including environmental science, public health, education, and others. NIMBLE uses R and C++, including a compilation system that generates C++ from R. This position will contribute to programming in R and C++ to improve and extend NIMBLE’s features.
The position is for a period of up to one year. Please see https://aprecruit.berkeley.edu/JPF02822 for more details and to apply. Applications by February 19 will receive full consideration.
The NIMBLE statistical software project at the University of California, Berkeley is looking for a statistical software developer or a post-doc. NIMBLE is a tool for writing hierarchical statistical models and algorithms from R, with compilation via code-generated C++. Major methods currently include MCMC and sequential Monte Carlo, which users can customize and extend. More information can be found at https://R-nimble.org. Currently we seek someone with experience in computational statistical methods such as MCMC and excellent software development skills in R and C++. This could be someone with relevant experience in computational statistics and software engineering. Alternatively, it could be someone with a Ph.D. in Statistics, Computer Science, or an applied statistical field in which they have done relevant work. The scope of work can include both core development of NIMBLE and development and application of innovative methods using NIMBLE, with specific focus depending on the background of the successful candidate. Applicants must have either a Ph.D. in a relevant field or have a proven record of relevant work. Please send cover letter, CV, and the names and contact information for three references to [email protected]. Applications will be considered on a rolling basis starting 30 January, 2018.
The NIMBLE software development team at UC Berkeley is looking for a programmer to help develop the core features of the NIMBLE platform (r-nimble.org). NIMBLE is a framework built in R for writing general statistical models and algorithms. NIMBLE includes a domain-specific language embedded in R for programming statistical algorithms. The language is compiled by automatically generating and compiling C++ code and interfacing C++ objects to R. This position includes work to harness parallel processing and automatic differentiation, to generate interfaces with other languages such as Python, to improve NIMBLE's scope and efficiency for large statistical models, and to build other new features into NIMBLE.
The NIMBLE software development team at UC Berkeley is looking for a programmer to help develop the core features of the NIMBLE platform (r-nimble.org). NIMBLE is a hierarchical statistical modeling package for methods such as Markov chain Monte Carlo, particle filtering, and Laplace approximation that are used in many fields of application, including environmental science, public health, education, and others. NIMBLE uses R and C++, including a compilation system that generates C++ from R. This position will contribute to programming in R and C++ to improve and extend NIMBLE’s features.
The position is for a period of up to one year. Please see https://aprecruit.berkeley.edu/JPF02822 for more details and to apply. Applications by February 19 will receive full consideration.