Job Advertisement HKI-37/2020
The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. Talented and highly qualified candidates are invited to apply for positions in the research group Applied Systems Biology of Prof. Dr. Marc Thilo Figge as
Doctoral Researchers (f/div/m) in Image-based Systems Biology
for three years initially with the intention to obtain the doctoral degree.
Research Areas: Machine Learning, Analysis of Microscopy/Spectroscopy Data, Mathematical Modeling
In the research group Applied Systems Biology various positions for doctoral researchers are becoming available. All positions are associated with aspects of the Image-based Systems Biology approach. This modern computational approach comprises the automated analysis of microscopy and/or spectroscopy data based on state-of-the-art methods from machine learning as well as the computer simulation of mathematical models using advanced modeling approaches, such as state-based or agent-based techniques. We are seeking highly motivated candidates that are interested to work on the side of either machine learning and data analysis or mathematical modeling and computer simulations in experiment-driven interdisciplinary studies.
- Master degree (or equivalent) in physics, computer science, bioinformatics or a related discipline
- Strong interest in biological systems (without the requirement of a scientific education in biology)
- Experience in machine learning and/or mathematical modeling and/or computer simulations is beneficial
- Very good programming skills in Python and/or C/C++ and OpenCV
- Ability to perform team-oriented as well as independent work
- Good communication skills in English are a must
Salary is paid according to German TV-L (salary agreement for public service employees). As an equal opportunity employer the HKI is committed to increase the percentage of female scientists and therefore especially encourages them to apply.
For further information:
Prof. Dr. Marc Thilo Figge | +49 3641 532 1416 | email@example.com
Complete applications in English or German should include a letter of interest, curriculum vitae, a complete list of publications, brief statement of research experiences, a list of three potential references, full academic record (copies of degree certificates), and should be submitted by October 30, 2020, via the online application system.