Process Modeling Intern 2024

Key Skills

C Programming, C++, Effective communication skills, MATLAB Programming, Optimization, Python Programming, VBA

Job Description

Your Internship:

Gain real experience. Learn from the best. See how your work matters.

Our internships are designed to prepare you for your career journey, not a final destination. When you join our team, you are welcomed into a community committed to providing you with a safe environment to learn, grow and cultivate your skills. With our expansive learning resources, our well-respected leaders, and our carefully curated development courses, you will be equipped to confidently solve tomorrow's global issues. And, truthfully, our future relies on you. Your innovative minds, your intentional collaboration, and your sincere desire to nourish the world. Your work may be local, but at Cargill, your impact will be global. Join our community to cultivate your curiosity, develop meaningful relationships and propel your career.

Process Modeling Internship:

Engineering and Data Sciences is one of Cargill's corporate research groups based in Minneapolis, MN, with satellite offices around the world. This is a fast-paced, growing area within Cargill, and impacts the full range of Cargill's operations—from processing grain and oilseeds to piloting novel food ingredients to optimizing our supply chains. Our scope includes projects from conception through process definition and plant start up to optimization of operating facilities for Cargill. We have a diverse range of talents in the modeling and simulation space with expertise in advanced control, process simulation, linear programming, computational fluid dynamics, statistics, numerical methods, and more.

The Engineering and Data Sciences team at Cargill will provide the opportunity to apply knowledge in an industrial setting to students with a graduate engineering background. The internship program is designed to provide students with appropriate projects that bring value to our businesses. We are looking for additional highly-skilled engineers who are enthusiastic about tackling non-traditional simulation, process control and data analysis projects. 

Your Work:

You will be assigned to one or two core projects that will be substantive in nature. You will be the primary technical contributor for work on the project, with leadership support from the Engineering and Data Science team. Interns will have the opportunity to:

• Gain immediate hands-on work experience in one of the world’s largest agribusiness companies.
• Receive periodic and candid feedback on job performance.

Our Programming:

• With comprehensive learning resources at your disposal, you can take your learning in any direction.
• As employees, interns receive access to volunteer and community outreach opportunities and paid time off for volunteer activities.
• Throughout the internship, interns and co-ops are invited to participate in events that will give exposure to leadership, provide development opportunities, and offer the ability to network with cross-functional interns/co-ops across the U.S.

Internship details:

• Internships are typically 12 weeks in duration.
• Interns are paid hourly for time worked.
• Interns are responsible for transportation to and from work.

Our Benefits:

No matter who you are or where you are, we have resources to meet your needs. As an intern, you’ll have access to a wide variety of programs to support you and help you thrive. Eligible programs and incentives include: 

• Paid time off
• Mental Health and Wellbeing program
• Digital Learning Library
• Housing and Relocation Assistance for those that qualify

Our Network:

Your development is our priority. With our outstanding global network, you will establish relationships, acquire mentors, and build your professional contacts. Our program encourages and orchestrates networking opportunities that will benefit you now and in your future career. During the internship, you will also receive consistent support from university recruiting staff, mentors, colleagues, and your supervisor.

Our Vibrant Community:

At Cargill, you will be a part of our vibrant global community with a culture that celebrates diversity. This is a reflection of the clients we serve and generates an intellectually diverse set of employees. Business Resource Groups (BRGs) help us embrace our diversity, make our culture more inclusive and enhance our employees’ outstanding talents and perspectives to benefit our organization and employees.

Our U.S. Business Resource Groups include:

Asian Alliance Network, Cargill Young Professionals Network, Cargill Ability Network (iCAN), Cargill Ebony Council, Group Responsible for Orienting and Welcoming (GROW), Hispanic-Latino Council, Cargill Pride Network, Veterans and Military Support Network, and Cargill Women’s Network.

Job Location:

• Plymouth, MN

Required Qualifications:

• Currently pursuing a M.S. or Ph.D in Chemical Engineering or related field, expecting to graduate December 2024 or later
• Able to complete a 12-week internship in the summer (May/June - August 2024)
• Geographically flexible and willing to relocate for an internship opportunity in Plymouth, MN. 
• First principles-based chemical process modeling experience (whole-process or detailed unit operation)
• Demonstrated facility with applied computing (e.g., Chemical Engineering simulation packages or programming languages such as Fortran, Matlab, Python, Visual Basic or C/C++)
• Strong verbal and written communication skills
• Proven ability to work optimally with individuals from a diverse set of backgrounds and cultures
• Must possess a high degree of initiative and resourcefulness in completing work with limited guidance

Preferred Qualifications:

• 3.0 GPA or above out of a 4.0 scale
• Going into final year of graduate program
• Previous experience/education with conceptual design and/or optimization of chemical manufacturing processes
• Project experience based on Process Simulation, Process Control, Computational Fluid Dynamics, Kinetic Modeling, Optimization or Applied Statistics
• Broad understanding of process equipment and component physical properties