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PhD Position (m/f/d) Analysis and data correlati ... (No replies)
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The Helmholtz-Zentrum Geesthacht (HZG), in Geesthacht, near Hamburg, and in Teltow, near Berlin, conducts materials and coastal research. For further information please refer to: http://www.hzg.de
HZG is one of the 19 national institutions of the Hermann von Helmholtz Association of German Research Centres e.V. (HGF). Around 1,000 employees carry out basic research and development work in close cooperation with national and international research institutions, research-oriented clinics and economic and public institutions.
At the Institute of Materials Research some 200 scientists conduct research in the five sub-institutes "Materials Mechanics", "Materials Physics", "Materials Technology", "Magnesium Innovation Centre MagIC" and "Metallic Biomaterials".
PhD Position (m/f/d) Analysis and data correlation for the modelling of degradation processes of magnesium under load
Reference code: 50033328_2 – 2020/WB 5
Commencement date: as soon as possible
The place of employment is Geesthacht.
The Institute of Materials Research, Division Metallic Biomaterials at HZG focusses on the development of Magnesium (Mg)-based alloys for specific applications such as biodegradable implants. Especially for biomedical Mg-based devices, it is crucial to understand and model the mechanisms governing the interactions between alloy composition and microstructure on one side and mechanical as well as corrosive properties on the other side. The challenge is the complex biological environment under which the implant has to operate and eventually dissolve. One important piece of additional information is the influence of load on the degradation behaviour under physiological conditions that shall be addressed within the framework of this project.
Within this framework, we are offering a PhD position (m/f/d). The position is initially limited to three years.
Your tasks
Your responsibility within this project will be the identification of parameters governing the degradation under load by artificial neural networks. In order to achieve this you will need to train and develop a neural network to correlate the results of experimental data obtained by other scientists and yourself in the project. This will allow us to evaluate the impact of different parameters on degradation and to provide input on further experimental work to expand the initial parameter space, thus fully describing the degradation process. You will work in close collaboration with a team tackling this problem by experimental and computational approaches to yield a mathematical model at the final stage.
Your profile
We offer you
The promotion of equal rights is a matter of course for us. Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements.
Interested? Then we are looking forward to receiving your comprehensive application documents (cover letter, CV, transcripts, certificates etc.) indicating the reference number 2020/WB 5.
Please start the online application process for this offered position via http://www.hzg.de category Career & Campus.
Closing date: October 6th, 2020
Contact: Mr. Tristan Tietz