London, England, £45000 - £60000 per annum + benefits
Job Type: Permanent
Managed by: C++ Team
Junior Optimisation Engineer (Mathematics R&D PhD). Would you like to work on complex and interesting mathematically based software systems, be challenged and continually learn? You could be joining a well-funded technology start-up at the cutting edge of what is possible.
As a Junior Optimisation Engineer you will join a small team and work closely with the Senior Optimisation Specialist to design and develop for the core product, a highly complex mathematically based optimisation solution that uses non-linear equations to turn questions into mathematically based queries. You'll focus on code optimisation, utilising your skills to ensure optimum solutions and help bring the product to market (with official launch planned for later this year).
You'll be based in East London in a small, collaborative team environment; there's a shuttle bus from the mainline station and lots of pop-up food stalls just outside to make lunchtimes interesting.
Driven by technology this company is able to offer a remote interview / onboarding process during the current social distancing measures and offer flexible working conditions moving forward including the ability to work from home.
*You have completed a PhD with a focus on mathematical optimisation with knowledge of researching and developing algorithms for solving (nonconvex and convex) MINLPs (mixed integer nonlinear programs) OR MILPs (mixed integer linear programs)
*You have experience / have studied one of: Operations Research, Linear Programming, Non-Linear Programming, Constrained Programming
*You'll be familiar with optimisation modelling systems (e.g. AMPL, GAMS and AIMMS) and solvers (e.g. CPLEX, GUROBI, XPRESS, KNITRO, CONOPT, IPOPT, BONMIN, BARON)
*You're collaborative with good communication skills
As a Junior Optimisation Engineer you will earn a competitive salary (to £60k, negotiable), plus benefits.
Apply now or call to find out more about this Junior Optimisation Engineer opportunity.