Cargill has an exciting opportunity for graduate students that work in the areas of process modeling, process control, and manufacturing analytics or some other relevant computational area (like CFD, molecular simulations, optimization etc).
The ideal candidate is a highly skilled PhD/MS chemical engineering student who is enthusiastic about tackling non-traditional simulation, process control, and data analysis projects.
Cargill provides food, agriculture, financial and industrial products and services to the world. Together with farmers, customers, governments and communities, we help people thrive by applying our insights and over 150 years of experience. We have 155,000 employees in 70 countries who are committed to feeding the world in a responsible way, reducing environmental impact and improving the communities where we live and work.
Engineering and Data Sciences (EngDatSci) is a global group that develops innovative technologies to improve our manufacturing processes working with existing Cargill and customer facilities to drive improved economic and environmental performance. It provides Cargill businesses and customers with novel products and services, distinctive value and growth opportunities. EngDatSci supports activities across the full breadth of Cargill, from new-to-the-world food ingredients, through applying our process modeling, process control and data science capabilities to improving the performance of our current manufacturing assets, and optimizing our supply chain.
For more information or to apply, please visit : https://cargill.taleo.net/careersection/10220/jobdetail.ftl?job=UNI05730&tz=GMT-05%3A00&tzname=America%2FChicago
Aditionally, please reach out to me at [log in to unmask] or my colleague Vishal Mahindrakar at [log in to unmask] for more information.