Research and Development - PhD - Modeling and Simulation Engineer-RND00003117
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The successful candidate is expected to lead the development of mathematical models which are required to develop innovative new products, processes, materials, and improve productivity. The successful candidate will be able to develop model libraries for a multi-disciplinary enterprise wide systems modeling environment. A detailed knowledge of differential algebraic equation (DAE) technologies, mathematical optimization, and stochastic methods are required.
The individual must be able to work with a team to define the model requirements.
The individual must be able to define and implement the model methods required to meet the problem requirements
The individual must be able to implement these equations in an equation oriented simulation environment, including verification, and predict the impact of uncertainty on model
The individual must be able to exploit the model using mathematical optimization type techniques to design products and the experimental campaigns require to estimate model parameters
PhD in Chemical Engineering
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.