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Industrial system modelling and optimisation
This exciting company is transforming biomedical processing, unlocking the door to large-scale affordable personalised medical treatments. Their core technologies are well-tested and ready for scale-up, but they need people with experience architecting, designing, developing, and optimising their manufacturing systems.
You will bring your deep knowledge of system modelling and cutting-edge optimisation techniques to bear on a range of problems including process optimisation, transport routing, and cost modelling. As a key leader in the company your analysis will be used to shape product strategy and provide important insight in the design process.
Requirements:
* Demonstrable experience applying Operation Research techniques (especially Discrete Event Simulation) to large-scale real-world systems in the manufacturing, automation, or logistics industries.
* Good knowledge of optimisation techniques such as mixed-integer linear programming, response surface methodology (RSM), and disjunctive programming.
* Good Python software development skills.
Situated in modern well-equipped facilities to the south of Cambridge, this team is growing fast with highly skilled engineers and scientists all knitted together with a strong belief in the potential of their technologies. With extensive funding already secured, on offer is a top package including generous pension and healthcare schemes.
Unfortunately, this company are currently unable to sponsor candidates and so you will need full and permanent rights to work in the UK to be considered for this role.
Keywords: Discrete Event Simulation, DES, Emulate 3D, Simul8, Anylogic, Mixed-Integer Linear Programming, MILP, Non-Linear Optimisation, Generalised Disjunctive Programming, Monte Carlo Simulation, Response Surface Methodology, RSM, Markov Chain, Petri-Net Analysis, Operations Research, Cost Modelling, Life Science
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