|Location:||Lyngby - Denmark|
|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||Based on the collective agreement with the Danish Confederation of Professional Associations|
|Placed On:||6th September 2023|
|Closes:||15th November 2023|
A PhD position on Data Science is available at the National Institute of Aquatic Resources at the Technical University of Denmark (DTU Aqua) from January 2022. The position is part of two EU H2020 projects: MISSION ATLANTIC - Towards the Sustainable Development of the Atlantic Ocean https:\\www.missionatlantic.eu and BRRIDGE-BS - Towards a productive, healthy, resilient, sustainable and highly-valued Black Sea https://www.h2020-bridge.eu/ . The PhD must therefore actively contribute to the large international research network established in this project. The project work is primarily carried out in the Section for Oceans and Arctic at DTU Aqua in Lyngby.
Marine ecosystems are complex adaptive systems consisting of large networks regulated by the adaptive dynamics of their constituents. Interactions in the networks occur across different levels of ecological organizations (from individual, to population and communities), and are both directly and indirectly modified by environmental pressures. Spatial and temporal dynamics on all levels of ecological organization are emergent properties of these interactions and regulated by local environment conditions. These complex dynamics and structures are central to life on Earth, and are generally investigated using both direct observations and mechanistic modelling of selected biological and physical quantities. However, it remains of critical importance to identify and characterise the relevant scales of ecosystem interactions, the responses of those to pressures and provide indicators of ecosystem state including them in a coherent framework for risk assessment in support of resource management.
In the current PhD project, we plan to develop statistical frameworks based on machine learning approaches (e.g. deep-learning, Bayesian non-parametric models, reinforcement learning) to combine observations and data from general ocean models to:
Candidates for the PhD position should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
We are looking for candidates with:
Please submit your online application no later than 15 November 2023 (23:59 Danish time).
Type / Role: