Two post-doctoral researchers in Bayesian statistics and its applications to ecological data

The International Society for Bayesian Analysis; Helsinki; On-site; EUR 40,000 - 50,000; Full time

Job summary

A leading research organization in Helsinki seeks two post-doctoral researchers in Bayesian statistics to work on projects related to biodiversity monitoring and large-scale ecological data analysis. The ideal candidates should possess experience in Bayesian methods and a strong analytical background. This role offers an opportunity to contribute to innovative research over a fixed term of 2-3 years.

Qualifications

• Experience in developing Bayesian methods for computationally challenging problems.
• Background in ecology is an advantage but not necessary.

Responsibilities

• Develop strategies for biodiversity monitoring and data collection.
• Create tools for analyzing large-scale marine data through statistical methods.

Skills

Bayesian methods

Computational problem solving

Statistical theory

Data analysis

Education

PhD in a relevant field

Job description

Two post-doctoral researchers in Bayesian statistics and its applications to ecological data

We are seeking two post-doctoral researchers in Bayesian statistics and its applications to ecological data and biodiversity monitoring for a fixed term of 2-3 years, starting on 1 April or as agreed.

The ideal candidates will have experience in developing and applying Bayesian methods in computationally challenging problems. Prior experience in ecology is not necessary, but considered an advantage.

The postdoctoral researchers will work in two international and cross-disciplinary research projects:

• Developing future strategies for the monitoring of biodiversity and for sustained and cost-efficient collection of long-term biodiversity data. This will involve developing methods, algorithms and statistical theory utilizing ideas from Bayesian model-based experimental design and value of information analyses.
• Developing future tools for analyzing and mapping large scale data of marine biota through development of novel multivariate statistical and computational methods. Our approach is based on hierarchical Bayesian models and methods that allow us to integrate heterogeneous, but complementary, ecological and environmental data.

The exact direction of the work will be agreed upon based on the experience and interests of the candidate.

The deadline for submitting the application was 5 March 2023.

Contact: Jarno Vanhatalo, Associate Professor of statistics, University of Helsinki