The Norwegian University of Science and Technology is hiring a Postdoctoral Fellow in Statistical Ecology located in Trondheim.

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.

The post will be part of a Horizon EU project (https://www.ntnu.edu/diversea), to integrate Observation, Mapping, Monitoring and Prediction processes for coastal biodiversity. The post-doc will develop the statistical models to integrate different data streams to model and predict coastal biodiversity. These models will be used in collaboration with other members of the project to produce maps and predictions in our different case study regions (including the North, Mediterranean, and Black Seas).

The approach NTNU has developed to carry this out is based on hierarchical statistical models (https://github.com/gjearevoll/BioDivMapping), but NTNU will look at how we can integrate this with AI/ML methods.

The mentor for this position is Prof. Bob O’Hara.

Duties of the position

• Develop integrated distribution models for coastal areas, with a focus on combining diverse data types.
• Collaborate with other members of the project to optimise the models and provide results that can be used in other parts of the project.
• Work with ML researchers to integrate the developed methods with AI/ML approaches.

Required selection criteria

• You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in statistics, quantitative ecology, or an equivalent area.
• If you can document that the PhD thesis has been submitted, your application can be assessed even if you have not yet defended your dissertation. Documentation of the obtained doctoral degree must be presented before you can take up the position.
• Interest in using Bayesian hierarchical models to model ecological systems.
• Ability to work with large complex data sets.
• Ability to collaborate across disciplines.
• Interest in learning new skills and approaches.

The application must include:

• CV and certificates
• Transcripts and diplomas for bachelor's-, master's- and PhD degrees.
• If you have not yet completed your Ph.D, you must provide confirmation on your estimated date for the doctoral dissertation, or that your PhD thesis has been submitted
• Academic works - published or unpublished - that you would like to be considered in the assessment (up to 3 items)
• Name and contact information of three referees