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Vous êtes ici : Accueil Emplois - Stages Three PhD positions in the lab of Peter Swain (Edinburgh)

Three PhD positions in the lab of Peter Swain (Edinburgh)

Ph.D. positions:

1. A whole-cell model to predict the energetic costs imposed by synthetic constructs

2. A whole-cell model to predict changes in translation and growth during cellular stress

Both are joint experiment and modelling projects and are part of the Marie-Sklodowska-Curie European Training Network SynCropSynthetic Circuits for Robust Orthogonal Production. SynCrop brings together ten academic and six industrial partners located in Germany, Denmark, Sweden, Switzerland, Netherlands, and the UK. The main objectives are to investigate modular and tunable synthetic circuits, further develop the field of synthetic biology, and foster the development of novel platforms for the production of food additives.

Additional projects are also possible.

Successful applicants will work at SynthSys, the University of Edinburgh's Centre for Systems and Synthetic Biology, one of the largest groupings of systems and synthetic biologists in the U.K., in the bespoke C.H. Waddington building.

For postdoctoral candidates, please write ( to see if a position is currently available. There are also fellowships from the Human Frontier Science Program (deadline at the end of August), the Newton International fellowship (deadline in April), and various Marie Curie possibilities.


3. Lecturer in Computational Biology (vacancy ref: 042673)

Furthermore, we seek an excellent scientist and inspiring teacher who uses and develops computational and modelling techniques to address key questions in biology. We welcome applications from researchers in all areas of computational biology, and we are particularly looking for those working in the following fields: metabolism, such as the application of flux balance analysis and the analysis and interpretation of data from metabolomics and fluxomics experiments; multi-scale modelling of biological systems, including formal modelling techniques and stochastic modelling; and data science approaches to biological research, including the analysis of data from next generation sequencing.

Closing Date - 13th March 2018

Contact – Prof Peter Swain or Prof Guido Sanguinetti ( or


For more information: see