IFG – Doctoral candidate, research assistant (f/m/d) as part of the MSCA EU project “NanoRAM”, research topic: “Digitalization of Biomaterial Research via Deep Learning Approaches” Undefined

You will contribute to the project “Digitalization of Biomaterial Research via Deep Learning Approaches” (DC10) which involves the following tasks:

• Preparation of model biomaterial surfaces using systematic variation of surface chemistry via vapour deposition polymerization of functionalized poly-p-xylylenes
• Deep learning-based analysis of fingerprint-like drying droplet patterns by training of convolutional neural networks (CNN)
• Use the CNN to extract cellular localization patterns in polarized light microscopy images via end-to-end hierarchical feature representations
• Complementary characterization via elaborate techniques (e.g. Circular Dichroism, Time-of-Flight Secondary Ion Mass Spectrometry, Imaging Ellipsometry)
• Improve the model management to ensure reproducibility by avoiding information loss

• Master or equivalent in chemistry, chemical engineering or materials science.
• Profound knowledge in biochemistry, polymer chemistry and physical chemistry
• Practical experience in software programming and/or scripting
• Excellent communication and writing skills in English Language

In addition, applicants must comply with the Doctoral Network eligibility criteria:

• Must be a doctoral candidate, i.e. not already in possession of a doctoral degree at the date of the recruitment
• Mobility rule: The candidate can be of any nationality but must not have resided or carried out their main activity (work, studies, etc.) in Germany for more than 12 months in the 3 years immediately before the recruitment date