PhD: Mathematical models of plant cell-wall degradation
Start date: November 2016
The successful candidate will work in an interdisciplinary team and develop mathematical models for the computational simulation of plant cell-wall degrading processes. The overarching goal of the project (CORNWALL, funded by the German Ministry of Research and Education, BMBF) is to understand and optimise the enzymatic processes involved in lignocellulose breakdown. With this understanding we will support the development of efficient biotechnological processes of biomass breakdown to increase the efficiency in recycling agricultural waste-products. Our project will thus contribute to support a transition from a finite-resource based economy to a sustainable bio-based economy.
Job description: The successful candidate will work in the research group ‘Quantitative and Theoretical Biology’. In close collaboration with experimental groups in CEPLAS, s/he will develop dynamic models simulating enzymatic processes involved in cell-wall degradation. The techniques used include ordinary differential equations and stochastic simulations. The models will be analysed using modern mathematical and computational techniques.
Your profile:
Master degree in physics, biophysics, bioinformatics or a related discipline
Substantial knowledge and experience in using and analysing differential equations
General knowledge of biochemistry and physical chemistry
Knowledge of biology, botany and metabolism would be an asset
Reliable and responsible attitude
Programming skills (e.g. Python, MATLAB, C++, etc.)
Good communication skills in both written and spoken English
We offer:
Experience to work in an interdisciplinary research team
Opportunities to build and improve complementary skills
Association to the Cluster of Excellence in Plant Science (CEPLAS) and access to all scientific and non-scientific events and workshops
The chance to present your work at International Conferences
Involvement in outreach activities
Working in an environment aiming for the ideals of Open Science
