Postdoc: Bayesian ML for Spatial Ecological Data

The International Society for Bayesian Analysis; Helsinki; On-site; EUR 40,000 - 55,000; Full time

Job summary

A leading research university in Helsinki is offering a post-doctoral position in statistics and machine learning for a 3+1 year project. The role involves developing hierarchical Bayesian models aimed at analyzing ecological and environmental data. Ideal candidates have experience with Bayesian methods and scientific computing, although prior knowledge in ecology is an advantage. This position offers a collaborative environment and flexibility based on the candidate's skills.

Qualifications

• Experience in developing Bayesian methods for computational challenges.
• Familiarity with multivariate models is advantageous.
• Experience in scientific computing is required.

Responsibilities

• Develop Bayesian models for ecological data analysis.
• Collaborate with project team on model applications.
• Tailor model direction based on candidate's interests.

Skills

Bayesian methods

Scientific computing

Multivariate generalized linear mixed models

Factor models

Gaussian processes

Education

PhD in statistics or related field

Job description

A leading research university in Helsinki is offering a post-doctoral position in statistics and machine learning for a 3+1 year project. The role involves developing hierarchical Bayesian models aimed at analyzing ecological and environmental data. Ideal candidates have experience with Bayesian methods and scientific computing, although prior knowledge in ecology is an advantage. This position offers a collaborative environment and flexibility based on the candidate's skills.