PhD Project - Protein Interaction Network Biology of Chlamydomonas Metabolism

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We seek a highly motivated Ph.D student for an interdisciplinary project to experimentally map the protein-protein interaction network of Chlamydomonas reinhardtii using molecular biology, advanced protein interaction analysis technologies, and liquid handling robots. The resulting network map will be analyzed using biochemical, statistical and computational tools and forms the basis for refinement of quantitative metabolic models.

Background: The unicellular algae Chlamydomonas reinhardtii can convert sunlight into the biofuel molecular hydrogen (H2). However, currently this conversion is not cost-efficient. Quantitative computational models of the Chlamydomonas metabolism account for only a small portion of all enzymes encoded in the genome and more complete models are necessary.
Protein interactions are essential for all aspects of cellular biology and have important roles in structuring and regulating metabolic processes. In many metabolic pathways enzymes catalyzing sequential steps directly interact, or are linked by common interaction partners. Thus biological knowledge of physical interactions can be used to develop hypotheses on the pathways and specificities of uncharacterized enzymes and transporters.

Qualifications: Candidates should be highly motivated and hold a Master's degree in in biochemistry, biotechnology, biology, microbiology or similar with experience in molecular methods. Affinity to high-throughput experimentation and computational data analysis is desirable. Salary is according to TV-L. TUM is an equal opportunity employer; applications by women are therefore encouraged. Equally qualified handicapped applicants will be preferentially considered. Please send your complete application including CV, letter of motivation, transcripts of degrees, and other relevant information by email to
For questions, please call +49-(0)8161-71-5645

Selected Publications
- Wessling R et al.; Convergent targeting of a common host protein-network by pathogen effectors from three kingdoms of life. Cell Host & Microbe. (2014)
- Mukhtar et al.; Independently Evolved Virulence Effectors Converge onto Hubs in a Plant Immune System Network. Science. 2011
- Arabidopsis Interactome Mapping Consortium: Braun P* (Chair) et al.; Evidence for Network Evolution in a Plant Interactome Map. Science, 2011

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How to apply:
Send application to
Please send your complete application including CV, letter of motivation, transcripts of degrees, and other relevant information by email to
For questions, please call +49-(0)8161-71-5645

Job profile

Working hours
Contract duration
Type of job
PhD Project
Work experience
job experience is not required
Germany (Bayern)
Working place
85354 Freising (bei München)
Area of expertise
Biology & Life Sciences, Biotechnology, Agricultural Sciences

About Technische Universität München (TUM)

Der Lehrstuhl Systembiologie der Pflanzen untersucht Fragestellungen zur Signaltransduktion und Zellbiologie bei Pflanzen durch die Integration modernster Methoden der Genomik und Proteomik mit genetischen, zellbiologischen und physiologischen Analysen. Das Wissenschaftszentrum Weihenstephan ist der LifeSciences Campus der Technische Universität München. Unter den ca. 90...

More about Technische Universität München (TUM)

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