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Bremen, Bremen, Deutschland University of Bremen VollzeitJob DescriptionWe are seeking a PhD researcher to join our team at the University of Bremen for a research project on common procurement in the EU.The project aims to analyze the creation, configuration, and use of common procurement instruments in the EU. It will follow the development (and abolition) of EU procurement instruments empirically over time and...
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Bremen, Bremen, Deutschland University of Bremen VollzeitJob DescriptionWe are seeking a PhD researcher to join our team at the University of Bremen for a research project on common procurement in the EU.The project aims to analyze the creation, configuration, and use of common procurement instruments in the EU. It will follow the development (and abolition) of EU procurement instruments empirically over time and...
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Researcher Position in EU Procurement Analysis
vor 2 Wochen
Bremen, Bremen, Deutschland University of Bremen VollzeitJob DescriptionWe are seeking a highly motivated PhD researcher to join our team at the University of Bremen for a research project on common procurement in the EU.The project aims to analyze the creation, configuration, and use of common procurement instruments in the EU. It will investigate the development (and abolition) of EU procurement instruments...
Two Phd Positions
vor 4 Monaten
MARUM - Zentrum für Marine Umweltwissenschaften
**Entgelt
- / Besoldungsgruppe E 13 - **Vollzeit**
**Kennziffer**: A172-24
**Bewerbungsfrist**: 13.05.2024
Öffentliche Ausschreibung
The **MARUM** - Center for Marine Environmental Sciences - at the **UNIVERSITY OF BREMEN**
is offering - pending approval of external funding - two
**PhD positions (f/m/d)**
**German federal salary scale 13 TV-L** (75 %)**
- in the field of physical oceanography, **starting at July 1, 2024**, limited for the
- **duration of 48 months**, until 30.06.2028 at the longest (according to - 2 WissZeitVG).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.
Voraussetzungen
- 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
Allgemeine Hinweise
Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world.
The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity.
As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply.
Disabled applicants will be given priority if their professional and personal qualifications are essentially the same.
- For more information on the positions, please contact Dr. Christian Mertens (cmertens
- uni-bremen.de) for Topic (1), or Dr. Maren Walter (maren.walter
- uni-bremen.de) for Topic (2).
Applicants should submit following documents: CV, copies of diplomas, letter of motivation and names of at least two references with reference to **job advertisement number A172-24** by **13.05.2024
