ABOUT US

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
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Application
Number:
V000009136
Application deadline:
15/04/2025
Mailing Address:
RWTH Aachen University
Lehrstuhl für Angewandte Mikrobiologie
Dr. Tobias Alter
Worringerweg 1
52074 Aachen
Email:
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail

To support our goals, we are looking for a research assistant with Bachelor’s degree in the field of computational biotechnology to join our ValorCO2 project which is funded by the Bioeconomy Science Centre (BioSC). ValorCO2 aims to develop a microbial platform for the production of valuable fine chemicals and biopolymers from CO2 and hydrogen. In this context, we use tools for model-driven simulation of microbial metabolism to better understand the properties of the production strain and to identify strategies for genetic optimisation of the production strain.

You would support us in improving an existing metabolic model with the following activities:

• Detailed research on metabolic pathways in the target organism using various biological databases
• Data-driven identification of links between metabolic functions and genetic information of the target organism
• Analysis and completion of metabolic pathways in an existing metabolic model
• Continuous comparison of model simulation with experimental data