Data Scientist
4 semanas atrás
We are seeking a highly motivated and experienced postdoctoral researcher to join our team at the University of Campinas. The successful candidate will work on a project focused on Time Series, Wavelets, and High Dimensional Data, with a strong emphasis on Bayesian modeling and inference.
Research Areas:
- Bayesian modeling of multi-variate integer-valued autoregressive processes
- Robust volatility estimation for high-dimensional data
- Selective inference for high-dimensional data
- Variational inference for clustering and variable selection in functional regression
Responsibilities:
- Develop and implement Bayesian models for time series and high-dimensional data
- Analyze and interpret results from simulations and real-world data
- Collaborate with the research team to design and implement new methods for data analysis
- Communicate research findings through publications and presentations
Requirements:
- PhD in Statistics or a related field
- Strong background in Bayesian modeling and inference
- Experience with high-dimensional data analysis and machine learning
- Excellent communication and collaboration skills
What We Offer:
- A competitive yearly stipend of R$144,000.00 (approximately US$26,000) - tax-free
- Travel and expenses grant plus round-trip tickets and moving expenses
- Opportunity to work with a talented research team and contribute to cutting-edge projects
How to Apply:
- A letter (two-page pdf file) briefly describing your background and research experience
- Your CV (pdf file)
- A two-page summary of your published works (pdf file)
- E-mail and postal addresses for two former research supervisors or course professors who are willing to write recommendation letters
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