I am looking for 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:

https://jobs.helsinki.fi/job/Two-Postdoctoral-Researchers-in-statistics-for-large-scale-environmental-applications/765044602/?feedId=350602&utm_source=CareerSite_UniversityOfHelsinki

I am looking for applicants with 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 of my group:

1) Developing future strategies for the monitoring of biodiversity and for sustained and cost-efficient collection of long-term biodiversity data. The core of the work will be developing methods, algorithms and statistical theory utilizing ideas from Bayesian model-based experimental design and value of information analyses, considering both static and adaptive designs. This work will be done in collaboration with several other post-doctoral researchers and senior scientists with backgrounds in statistics, mathematics and ecology. In this project, we seeks to make ground-breaking impact to our ability to track and manage changes in biodiversity.

2) 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 work focuses specifically on the so called joint species distribution modeling (JSDM) framework, which are multivariate models and among the most important statistical tools in community ecology today. In this project, we will tailor such models for applications to ecological data from across European marine areas, utilizing novel latent factor and Gaussian process models. A successful candidate will participate also in developing novel predictive model comparison and assessment methods to compare and validate our models. You will work in collaboration with several other post-doctoral researcher and senior scientists from across the Europe in a project that seeks to make ground-breaking impact to our ability to sustainably manage our marine biodiversity.

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 is 5 March 2023.

More information from me and from
https://jobs.helsinki.fi/job/Two-Postdoctoral-Researchers-in-statistics-for-large-scale-environmental-applications/765044602/?feedId=350602&utm_source=CareerSite_UniversityOfHelsinki

Yours,

Jarno Vanhatalo,
D.Sc. (Tech.), Associate Professor of statistics
Department of Mathematics and Statistics and
Organismal and Evolutionary Biology Research Programme
University of Helsinki

www.helsinki.fi/~jpvanhat