Modelling & Simulation Scientist, Computational Physics

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Working as part of a cross-functional team covering broad modelling disciplines, you are an internally recognized expert in computational physics, a technical area of critical importance to the R&D function. You identify, define and solve complex modelling and simulation problems, tackling R&D's highest priority ingredient, product, process, and packaging challenges. Applying your in-depth knowledge of this technical specialty, you will drive rapid, high-quality innovation capabilities across Mondelez's portfolio, spanning chocolate, biscuit, gum, and candy categories. How you will contribute You will bring computational physics modelling & simulation capabilities to Mondelez R&D's highest priority areas, developing solutions to move R&D work away from large, factory-scale trials towards small-scale or in silico predictions. Specifically, you will: Design and deliver rapid simulation capabilities to drive solutions to business challenges. Plan, lead, and manage modelling and simulation projects, scoping and proposing opportunities for sustained business impact. Work closely with engineers and scientists to define complex technical challenges and agree on problem scope. Communicate complex problems simply to non-technical audien [... source excerpt omitted ...] levant modelling, simulation, and virtual prototyping techniques. Provide regular project updates to senior stakeholders, flagging potential impediments and resource needs. What you will bring Physics & Modelling Fundamentals Fundamental understanding of materials' physical properties: how these are measured and modelled (e.g. viscosity, thermal conductivity, rheology). Solid understanding of how physical transformations can be modelled (e.g. conduction of heat, fluid mixing, phase change). Ability to decompose complex engineering problems into tractable steps and manage technical ambiguity. Ability to create and validate models to test and predict real-world scenarios. P [... source excerpt omitted ...] encing across all levels of the organization, including senior leadership. More about this role What you need to know about this position: This is a technical modeler role where you will work collaboratively to scope opportunities, define problems, identify solutions, and build and deploy modeling and simulation techniques to support rapid product development decisions. Education / Certifications: Master's degree in mathematical/computational/Theoretical Physics, or Engineering required Job specific requirements: Ph.D in Mathematical/Computational/Theoretical Physics, or Engineering preferred 3-5 years combined relevant experience (food and beverage experience preferred Tr