Humboldt-Universität zu Berlin DFG Research Training Group “Computational Systems Biology”
Biology has developed into a quantitative, information-driven science. We are seeking fellows in the new Research Training Group Computational Systems Biology (CSB) which focuses on the system-level understanding of biological data using computational methods. CSB is embedded in the thriving Berlin life-science environment and involves high-ranking research institutions such as Humboldt-Universität zu Berlin, Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Max Planck Institute for Molecular Genetics and Max Delbrück Center for Molecular Medicine Berlin-Buch.
We offer 12 PhD fellowships and 1 postdoctoral position (TV/L E13) in the following areas:
Structural investigation of protein-protein and protein-RNA interactions and their role in molecular networks of the living cell
Detailed models of cellular processes on different levels
Reverse engineering for prediction of genetic networks from new types of data and
Spatio-temporal organization of networks.
We are looking for highly-motivated students with a strong interest in systems biology and mathematical modelling. Successful applicants must hold the equivalent of a master’s level degree in life sciences, mathematics, physics or computer sciences. The PhD fellowship comprises a monthly stipend which is initially granted for 2 years and which can be extended for another 12 months. We offer an excellent training program in computational systems biology, supervision by at least two experienced scientists, and multifarious opportunities for developing local and international collaboration.
Applications (one PDF-file containing cover letter, CV, master/diploma certificate, 1-page project description, and names and addresses of 2 referees) should be sent preferably via email until January 31, 2011.
GRK 1772, c/o Dr. Cordelia Arndt-Sullivan, Humboldt-Universität zu Berlin, Math.-Nat. Fakultät I, Institut für Biologie, Theoretische Biophysik, Invalidenstr. 42, 10115 Berlin, Germany Phone: +49 (0) 30 2093 8383, email: email@example.com
For further information, please visit our website:
Humboldt-Universität zu Berlin is an equal opportunities employer
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