Soil & Crop Modeling Engineering Intern - Combine Surrogate Model from CFD Using Machine Learning

CNH develops agricultural and construction equipment and advances engineering innovation through simulation and precision technologies. The Soil & Crop Modeling Engineering Intern will prepare and run CFD simulations, process simulation data for machine-learning model training, develop and optimize surrogate models, and collaborate with engineering teams to improve harvesting equipment.

What you'll do:

• Prepare and run CFD model of a combine cleaning and/or residue treatment system or a portion of it using a CFD simulation software
• Post process CFD simulation data to derive useful insights and prepare the data for model training using machine learning
• Develop surrogate models from the CFD date and optimize model parameters
• Collect, organize, and process CFD simulation datasets to extract machine performance metrics
• Collaborate with crop flow modeling, design, and test engineering teams to support the design, validation, and continuous improvement of CNH harvesting equipment

What they're looking for:

• Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program
• Candidates may be pursuing an Associates, Technical, Bachelor's, or Post-graduate degree in the following majors or a related field: Agricultural Engineering, Mechanical Engineering, Chemical Engineering, Engineering Mechanics, Materials Engineering, Biological/Biosystem/Bioresource Engineering, Agronomy

Benefits:

• Mentorship, training, hands-on experience, and growth opportunities
• Networking events
• Social and volunteer activities
• Professional development workshops
• Housing support
• Any applicable bonus
• Flexible work arrangements
• Savings & Retirement benefits
• Tuition reimbursement
• Parental leave