An interdisciplinary research team at the University of California, Berkeley, seeks a programmer to contribute to open-source statistical software as part of a project funded by the National Science Foundation. The team includes researchers in the departments of Environmental Science, Policy and Management (ESPM), Statistics, and Computer Science. The successful applicant will be a lead developer for a flexible system in R and C++ to facilitate cutting-edge statistical and machine learning algorithms for Bayesian and likelihood-based statistical methods. This position will be supervised by faculty and staff in biology (Perry de Valpine), statistics (Chris Paciorek), and computer science (Ras Bodik).
- Develop new software package in R and C++ based on provided specifications
- Write documentation and develop unit tests
- Contribute to evolving goals and design for the new softare
- Contribute to management of open-source community, including a web site and user support.
- Experience with object-oriented programming in C++
- Experience programming in R, including its methods of object-oriented programming
- Ability to communicate technical information effectively
- Ability to prioritize multiple tasks, work independently or as part of a team, and communicate effectively.
Preferred Qualifications (beneficial but not required)
- Experience interfacing R and C++
- Experience contributing to open-source software
- Knowledge of Domain Specific Language design
- Knowledge of machine learning and/or statistical algorithms
Review of applications will begin November 20, 2013, and continue until position is filled. Position can start as soon as possible with a one-year appointment that may be extended. Salary will be commensurate with experience.
To apply, please go to http://jobs.berkeley.edu and search for job #16965