The Center for Innovation Competence (ZIK) plasmatis at the Leibniz Institute for Plasma Science and Technology (INP) focuses on cellular redox processes in cancer and wound biology on a molecular level. Specifically, we want to understand the translation of redox signals from the outside into the inside of mammalian tissues and the resulting downstream effects. As enabling technology, low temperature plasma devices are applied to manipulate the cellular redox-signaling axis. For our team we are seeking to hire for the location in Greifswald from January 2020 a motivated





The position is initially granted for 2 years/ Weekly working time 40 hours/ TV-L Ost wage group 13.


Your tasks:

To investigate the modulation of cellular redox signaling processes by low temperature plasma, a number of bioanalytical and analytical approaches are being developed or applied, creating a significant amount of data. Among these, microscopic data, mass spectrometry data and spectroscopic data (FTIR, Raman, and optical emission spectrometry) are strongly contributing. You will:

  • Conduct the creative mining of these data in collaboration with the experimentalists;
  • Combine data from different (orthogonal) technologies;
  • Ensure the curation and preservation of accessibility of these data;
  • Develop automated data analysis and annotation allowing on-the-fly plasma treatment control by using machine learn algorithms;
  • Collaborate with research groups within the INP and the University of Greifswald ensuring a stimulating and dynamic working environment.

Your profile:

  • At least/or higher a master’s degree in bioinformatics, informatics, or similar fields of computational sciences
  • Knowledge and (initial) experience in handling and analysis of complex data (e.g. –omics data, high throughput microscopy images, or spectroscopic data)
  • Experience (preferably) or interest in computer learning algorithms
  • Experience in a multidisciplinary research setting (e.g. Ph.D. degree, project work) and biological data sets desired
  • Creative and eager to accept responsibilities (project related or broader scope in future) 

Our offer:

  • Payment and social services according to the collective wage agreement on Länder (TVL-Ost) including company pension
  • Modern lab infrastructure and excellent research tools
  • Interdisciplinary research at relevant section of physics, life science and medicine, integrated in international and national research networks
  • Multi-national team
  • Accessible collaboration partners on most continents
  • Flexible working hours
  • Possibility of working from a home office
  • A working environment certified as family-friendly

For further information, you are welcome to contact Dr. Kristian Wende (Tel.: 03834-554 3923; e-mail: kristian.wende@inp-greifswald.de).

Unfortunately, the INP cannot refund any application expenses.

What counts is your performance as well as your personality regardless of your age, origin, gender, sexual identity, disability or ideology. We look forward to receiving your applications!

Please send us your application including your CV, a list of publications and a description of your research interest and experience by indicating the reference number “0309 – Research fellow Bioinformatics” - preferably by using our online application form - until November 15th 2019 to the INP, Human Resources Department Mrs Gabriele Lembke, Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany, bewu@inp-greifswald.de.