The University of Edinburgh is looking to recruit a bright Post-Doctoral Research Associate to work on the automatic identification of mathematical models of biomolecular networks in live cells.
As part of this project, the successful candidate will:
(a) build a cyberphysical system, combining microfluidics and videomicroscopy, where cells can be probed with computer controlled chemical stimuli and their response tracked over long experiments;
(b) develop a “supervisor algorithm” that combines computer vision methods and on-line optimization (Optimal Experimental Design/Parameter Estimation) to continuously update the model of the network of interest, identify its weaknesses, and design/apply an input optimised to refine it;
(c) close the loop between the in-vivo (a) and in-silico (b) components to iterate this procedure until a satisfactory model has been obtained.
The ideal candidate has a background in engineering/physics/mathematics and previous experience with techniques/protocols in microbiology and microscopy. Experience with microfluidic device fabrication is desirable.
This post is full time and fixed-term for 3 years. The post is available from October 2017.
Salary: £32,004 - £38,183 per annum
Closing Date: Wednesday 6th September 2017 at 5pm (GMT)