UBC Statistics professors Alexandre Bouchard-Côté and Trevor Campbell are co-leading, in collaboration with Philippe Gagnon (UdeM) and Liangliang Wang (SFU), a new CANSSI Collaborative Research Team (CRT) project on distributed MCMC (Markov Chain Monte Carlo) methods.
If you are passionate about developing new, impactful inference methodologies, there are now several fully funded MSc and PhD positions available within this project. Join a dynamic team working at the intersection of Bayesian statistics and computational methods, and contribute to the development of impactful new approaches!
Key benefits for trainees
- Collaborate with scientists and engineers working on important and challenging problems.
- Mobility and co-supervision possible across top Canadian universities.
- Generous travel funding to attend international meetings.
Application instructions and details on available positions can be found at: https://pigeons.run/dev/openings/
See the full story on the CANSSI website: https://canssi.ca/story/crt-27/
For more information about CANSSI Collaborative Research Teams, please visit: https://canssi.ca/program/collaborative-research-teams/