What Success Looks Like In This Role

Mathematical Modelling & Optimization

• Analyse complex business and industrial challenges and translate them into mathematical optimisation models.
• Develop linear, nonlinear, mixed-integer programming (MIP), constraint programming (CP), and graph-based models to address large-scale combinatorial issues.
• Implement models using AMPL, Gurobi, CPLEX, Pyomo, or specialised solvers for benchmarking and testing.
• Explore hybrid quantum-classical algorithms for optimisation, collaborating with experts in quantum computing.
• Develop and apply metaheuristic optimisation techniques such as Genetic Algorithms, Simulated Annealing, and Ant Colony Optimisation to tackle large-scale, complex business challenges.
  
  

Integration of Hybrid Advanced Metaheuristic and HPC

• Collaborate closely with our Quantum and HPC R&D teams to identify high-value combinatorial problems where quantum computing can offer a computational advantage.
• Develop proof-of-concept (PoC) studies that compare classical optimisation techniques with quantum/hybrid approaches.
• Work with software developer solution engineers to integrate HPC-powered solvers for large-scale combinatorial optimisation problems.
  
  

Industry Applications & NextGen Advisory

• Develop decision support systems and prescriptive analytics solutions for clients in finance, logistics, cybersecurity, and smart infrastructure.
• Provide leadership and contribute to white papers, patents, and publications on innovative quantum optimisation methodologies.
  
  

You will be successful in this role if you have:

BA/BS degree and 0-2 years’ relevant experience OR equivalent combination of education and experience

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