CAST10 Archives

March 2019

CAST10@LISTSERV.UMD.EDU

Options: Use Proportional Font
Show Text Part by Default
Condense Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Mime-Version:
1.0
Content-Type:
text/plain; charset="UTF-8"
Date:
Tue, 19 Mar 2019 09:35:46 -0400
Reply-To:
Vishal Mahindrakar <[log in to unmask]>
Subject:
Content-Transfer-Encoding:
quoted-printable
Message-ID:
Sender:
"Chemical Engineers in Computing and Systems Technology, AIChE" <[log in to unmask]>
From:
Vishal Mahindrakar <[log in to unmask]>
Parts/Attachments:
text/plain (10 lines)
Cargill has an exciting opportunity for a Senior Research Engineer to join its highly respected Engineering and Data Sciences team in R&D. The ideal candidate is a highly skilled engineer with at least 3-5 years of relevant industrial experience and has a strong fundamental knowledge of process systems engineering and engineering mathematics, which is applied to improving the performance of agri-food manufacturing facilities. Experience with process control and/or manufacturing data analytics projects is a plus. The position is based in Minneapolis MN.

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 the link below.

https://cargill.taleo.net/careersection/2/jobdetail.ftl?job=PLY00544&lang=en&sns_id=mailto#.XEYRuC108D4.mailto

ATOM RSS1 RSS2