PhD student (m/f/d) Uncertainty Quantification in Models of Implant Degradation

Beginn der Ausschreibung09.09.2019
Ende der Ausschreibung08.10.2019
InstitutInstitut für Werkstoffforschung
StandortHamburg
Online-Bewerbung anplease use link below

Research at HZG in the field of “Metallic Biomaterials” focusses on the development of biodegradable Mg-based alloys and implants by the optimization of mechanical, biological and degradation properties for specific applications. To this end, it is crucial to understand the mechanisms governing the interactions between microstructure, mechanical properties, biology and degradation. In the long run, such understanding will enable the manufacturing of implants tailored to the specific needs of individual patients. One part of this is the understanding of Mg degradation and influence of specific organic and inorganic components, as well as the uncertainty introduced by in vitro measurements.

This PhD position is initially limited to 3 years, starting date latest 1st November 2019.

You will be responsible for developing a mathematical model of the degradation of Magnesium and Mg alloys that will determine the influence of specific organic and inorganic components on the degradation process. Experimental data on degradation rates, chemical composition of the degradation medium and the evolving degradation layer, and resulting pH on the electrochemical processes will be used as input and validation data. Furthermore, as part of the Helmholtz-Incubator network “Uncertainty Quantification”, you will quantify and analyze the model uncertainty in terms of its output parameters. In the long term, this model shall serve as an alternative to experimental techniques to enhance the reduction of required in vitro experiments prior to animal experiments. You will work closely with other PhD students and post-docs in the Helmholtz Incubator network, which will develop a unified library for UQ that will be applied to the different research questions within the network.

Your tasks:

  • gathering all relevant data from previous experiments and literature
  • development of the mathematical model of Mg degradation in salt solutions
  • quantify the uncertainty introduced by measurements used for input and validation
  • if needed, initiate specific experiments to gain missing data

Your profile:

  • university degree (MSc, Diploma or equivalent) in mathematics, data / computer science, natural sciences or engineering
  • strong analytical skills and sound theoretical background
  • experience in Multiphysics modelling is appreciated
  • experience in statistical methods is appreciated
  • background knowledge in the field of electrochemistry is appreciated
  • team spirit, excellent communication and organization skills, fluent English

We offer:

  • multinational work environment with over 950 colleagues from more than 50 nations
  • extensive options of vocational training (i. a. expert seminars, language courses or leadership seminars)
  • flexible working hours and various models to ensure the compatibility of family and career
  • excellent infrastructure, including a scientific in-house library as well as modern work spaces
  • remuneration according to the standards of the collective wage agreement TV-AVH including further social benefits
  • you will work in a team of several computational scientists and experimentalists who can provide data along the full chain from material design up to in vivo data

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?

We are looking forward to receiving your comprehensive application documents (including CV, a statement of interest and copies of master/diploma/university certificates) indicating job offer

code no. 2019/WB 3

Please use the following registration link to upload your complete application documents:

Apply now!

Closing date for applications is October 8th, 2019.