PhD in Systems Biology @ Eawag

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The selected candidate will become a member of the newly formed System Biology group in the Department of Enviromental Toxicology, and will be enrolled in the ETHZ/UniZ systems biology graduate program. The goal of the PhD project will be to use genome-scale metabolic modelling and gene expression measurements in green algae to 1) determine the metabolic mechanisms of toxicity after exposure to different chemicals and 2) to predict the adverse outcome after exposure to single chemicals and chemical mixtures. The project will include development of metabolic models and their integration with omics datasets, with option of including laboratory work.
  • If you are excited about advancing environmental sciences through systems biology and joining an interdisciplinary research team, you are invited to apply. You should either hold a master or equivalent degree in natural sciences, mathematics, physics or engineering and have experience in mathematical modelling. Good programming skills are essential and experience with metabolic modelling packages (e.g., Cobra, Raven) would be considered an asset. Good English language skills are essential.
  • Please submit your application by 31/08/2015 and include a letter describing your motivation, CV, copies of your academic qualifications, and names and contact information of two references.
  • Eawag is committed to promoting equal opportunities for men and women and to supporting working families and prides itself in providing a stimulating and pleasant work environment. The position would be available immediately.
For further information, please contact Dr. Anze Zupanic ([email protected])

The selected candidate will become a member of the newly formed System Biology group in the Department of Enviromental Toxicology, and will be enrolled in the ETHZ/UniZ systems biology graduate program. The goal of the PhD project will be to use genome-scale metabolic modelling and gene expression measurements in green algae to 1) determine the metabolic mechanisms of toxicity after exposure to different chemicals and 2) to predict the adverse outcome after exposure to single chemicals and chemical mixtures. The project will include development of metabolic models and their integration with omics datasets, with option of including laboratory work.