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”

Stelle ist zu besetzen ab: 15.03.2024

Beschreibung

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

Persönliche Qualifikation

• 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

Organisationseinheit

Institut für Funktionelle Grenzflächen (IFG)

Contract duration

3 years

Application up to

30.04.2024

Contact person in line-management

For further information please contact Prof. Dr. Joerg Lahann, Email: joerg.lahann@kit.edu

Please apply via email adhering to the following:

• Attachments must be PDF files
• Please put “Application to NanoRAM DC10 [your name]” in the subject line

Please include

• Personal information: Full name, gender, nationality and contact details.
• Motivation letter: Maximum 2 pages highlighting your academic and research experience as well as why you are interested in the NanoRAM project DC10.
• Curriculum vitae: Maximum 3 pages.
• Academic records: Original and English translation. Certified documents with grades. If the candidate has not yet completed the required degree, the documents must show the expected graduation date.
• Recommendation letters: From university lecturer, scientist or similar, who can verify your academic work and judge your potential as a predoctoral researcher. Contact information for the referee must be included as they will be contacted during the evaluation process.

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