- Completed scientific university studies (Master's degree/university diploma) in physical oceanography, meteorology, physics, or closely related fields
- Demonstrated skills in scientific computer programming (e.g. Matlab or similar)
- Solid background in physical oceanography, esp. internal gravity waves
- Experience in working with deep-sea instrumentation and heterogeneous data sets are advantageous
- Excellent written and verbal communication skills
- Applicants should be proficient in English, and enjoy working in an international and interdisciplinary team
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Hochschule Bremen City University of Applied Sciences Bremen, DeutschlandPhD position (f/m/d) on CFD simulations of biological inspired filters · **Code**: FK , Pay group / Entgeltgruppe 13 TV-L · to be filled with the full working hours per week (39.2 hours) and to be limited to 36 months. The position is not suitable for part-time. · Your Area of Re ...
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Two PhD positions - Bremen, Deutschland - University of Bremen
Beschreibung
Stellenbeschreibung
The position is funded under the DFG Collaborative Research Centre TRR 181 "Energy Transfers in Atmosphere and Ocean", projects
W4: Gravity Wave Parameterisation for the Ocean
W5: Internal Wave Energy Dissipation and Wavenumber Spectra
Description
Energetic inconsistencies in present climate models feature errors of the same magnitude as the energy imbalance of Earth's climate system due to anthropogenic greenhouse gas emissions. This leads to biases that limit the models ability to predict climate relevant physical processes. The collaborative research centre TRR 181 "Energy Transfers in Atmosphere and Ocean" aims to address these shortcomings by deepening the physical understanding of energy transfers between the main dynamical regimes, i.e., geostrophic motions, gravity waves, and turbulence.
Topic (1): Internal gravity wave spectral variability in the world ocean
The importance of wave-induced mixing in the ocean requires a better knowledge of the spatial and temporal variability of the internal wave spectrum. Recently available observational data have reached a scale and distribution that allows global analysis of spectral properties in the interior and abyssal ocean, and new machine learning capabilities for global mapping can be explored. In this project, you will combine regional and global data sets with the results of simplified and complex version of an energetically consistent parameterization for the diapycnal diffusivity induced by breaking internal gravity waves.
Topic (2): Energy transfer into the interior ocean by extreme events
The fraction of energy input by wind transferred into the deep ocean is dominated by extreme events like storms, where direct in situ observations are difficult to carry out. Autonomous platforms like gliders are useful tools to observe the generation of internal gravity waves under harsh conditions, using adaptive sampling techniques and path planning without direct human interventions. In this project, you will be using glider-based and complementary observations from previous and new measurement campaigns to study the impact of storms on the energy input in form of internal waves in the interior ocean, and the associated mixing. You will use the data to develop and validate a parametric source model using machine learning techniques.
We are searching for researchers with a keen interest in observational physical oceanography and its application in theory and modelling. The positions will be located in the Physical Oceanography group at the University of Bremen. We offer you the opportunity to work in cutting-edge marine research in an interdisciplinary international team in the vibrant city of Bremen in northern Germany, also within the TRR network. As a doctoral researcher, you will be part of the TRR Research Training Group ENERGY, spread across Germany's leading oceanographic research sites.
Voraussetzungen
