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Simulations of CRNs for Signal Detection and Amplification (Staff PhD Candidate)

  • Full or part time
  • Application Deadline
    Friday, May 24, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

Marie Sklodowska-Curie Early Stage Researchers in Chemical Reaction Networks and Modelling (Staff PhD Candidate)

CReaNET ( is a Marie Sklodowska-Curie Action Innovative Training Network aiming to develop biocompatible Chemical Reaction Networks (CRNs) for signal amplification and novel (bio)materials. CReaNET is recruiting Early Stage Researchers (ESRs) to develop biocompatible CRNs with tuneable feedback mechanisms that allow a desired life-like function to be programmed a priori. This systems approach will provide the design tools for the generation of future ultrasensitive sensors, for finding advanced production schemes towards high value chemicals and for enabling future autonomous and adaptive materials.

The post holder will develop computational models of ODEs/PDEs to support the experimental implementation of chemical reaction networks (CRNs) for signal amplification, spatiotemporal control and materials. You will work as part of an interdisciplinary team of fifteen ESRs placed at 10 academic and industrial partners across Europe and must be willing to travel on secondment and to undertake network-wide training activities. You must enroll onto a PhD programme at the University of Sheffield and will spend six months on secondment at partner institutes.

At the time of recruitment, 1 September 2019, you should be in the first 4 years of your research career (full-time equivalent research experience) and have not been awarded a doctoral degree and you must not have resided or carried out your main activity (work, studies etc.) in the UK for more than 12 months in the 3 years immediately prior. You should also have some experience of chemical kinetics and/or solving differential equations using numerical simulations; however, training will be given in both of these areas.

Funding Notes

The post holder should have a good undergraduate degree (Bachelors or Masters level) in Chemical Engineering, Computer Science, Applied Mathematics, Chemistry or related discipline (BEng, MEng, BSc, MSc or equivalent qualification at 2.1, or equivalent, classification). This should be obtained by 1 September 2019.

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