Two postdoctoral fellowships in

Metabolomic systems biology (2 years, fully funded)

are available immediately in the group of Prof. Rainer Breitling at the University of Glasgow, UK.


Work in our group focuses on the development and evaluation of novel computational tools for the analysis of ultra-high resolution metabolomic mass spectrometry data, and the exploitation of these data for metabolic modeling in an integrated systems biology strategy, including metabolic pathway reconstruction and analysis.

Application areas range from the systems biology of cancer, to drug-development against protozoan parasites, to the synthetic biology of bacteria for the biotechnological industry.

Candidates should have a strong background in bioinformatics, biochemistry, chemometrics, biostatistics, bioengineering and/or molecular systems biology. A proven ability of performing creative interdisciplinary research is required. We also expect a pro-active attitude and the ability to initiate and execute research lines independently. Excellent communication and reporting skills are necessary.

Applications (including a CV and contact details of 3 referees) should be sent by e-mail to:

Prof. Dr. Rainer Breitling
SULSA Professor of Systems Biology,
  University of Glasgow
Honorary Professor of Computational Systems Biology,
  University of Groningen

Institute of Molecular, Cell and Systems Biology
College of Medical, Veterinary and Life Sciences
Joseph Black Building, B3.10
University of Glasgow
Glasgow G12 8QQ
Scotland, United Kingdom

tel: (+44) (0)141-330-7374
e-mail:rainer.breitling@glasgow.ac.uk
http://tinyurl.com/rbreitling
http://gbic.biol.rug.nl/~rbreitling


Further reading:
1. Medema MH, Breitling R, Bovenberg RAL, Takano E (2011): Exploiting plug-and-play synthetic biology for drug discovery and production in microbes. Nature Rev. Microbiol. 9:131–137.

2. Scheltema RA, Jankevics A, Jansen RC, Swertz MA, Breitling R (2011): PeakML/mzMatch – a file format, Java library, R library and tool-chain for mass spectrometry data analysis. Anal. Chem. 83:2786–2793.

3. Barrett MP, Bakker BM, Breitling R (2010): Metabolomic systems biology of trypanosomes. Parasitology 137:1285–1290.

4. Scheltema RA, Decuypere S, ‘t Kindt R, Dujardin JC, Coombs GH, Breitling R (2010): The potential of metabolomics for Leishmania research in the post-genomics era. Parasitology 137:1291–1302.

5. Rogers S, Scheltema RA, Girolami M, Breitling R (2009): Probabilistic assignment of formulas to mass peaks in metabolomics experiments. Bioinformatics 25:512–518.

6. Fu J, Keurentjes JBB, Bouwmeester H, America T, Verstappen FWA, Ward JL, Beale MH, de Vos RCH, Dijkstra M, Scheltema RA, Johannes F, Koornneef M, Vreugdenhil D, Breitling R, Jansen RC (2009): System-wide molecular evidence for phenotypic buffering in Arabidopsis. Nature Genetics 41:166–167.

7. Breitling R (2009): Robust signaling networks of the adipose secretome. Trends Endocrinol. Metabol. 20:1–7.

8. Scheltema RA, Kamleh A, Wildridge D, Ebikeme C, Watson DG, Barrett MP, Jansen RC, Breitling R (2008): Increasing the mass accuracy of high-resolution LC-MS data using background ions – a case study on the LTQ-Orbitrap. Proteomics 8:4647–4656.

9. Breitling R, Vitkup D, Barrett MP (2008): New surveyor tools for charting microbial metabolic maps. Nature Rev. Microbiol. 6: 156–161.