DESCRIPTION: The AGCO Acceleration Center is looking for a highly talented Design Engineer intern to join our team at the Research Park for the Spring 2020 This person will work closely with the AGCO Protein Division to evaluate and optimize designs of existing processes to address customer needs and reduce cost, work on project teams to create new designs, and develop and review of current methods and standards. Job Responsibilities: Assist in design engineering projects: Communicate with engineers, engineering manager, and product management to understand and verify product requirements, including cost targets Prepare concept, design, development, and feasibility studies of engineering projects Includes performing design calculations and necessary analysis, which may include computer simulations Create 3D models and 2D drawings using Creo Build prototypes and coordinate and perform product tests on current production and prototypes Troubleshoot mechanical problems Our Ideal Candidate Will Have: Good understanding of thermodynamics, heat transfer, and machine design Basic understanding of electrical and sensor design Preferably have experience with Creo modeling/drawing software Experience in the poultry and swine industries would be a plus Strategic and creative thinking Solid team skills Qualifications: Enrolled in mechanical engineering program or related technical field Must be registered as a full-time student Must be able to commute to the work location on a daily basis Strong communication and organization skills Understanding and appreciation of mechanical design and engineering best practices Strong time management and creative problem solving skills Proficient in MS Office applications Additional Details: This is a paid, part-time internship for Spring 2020 at the AGCO Acceleration Center in the University of Illinois’ Research Park. Students are required to work 10-20 hours a week on-site at our office in Research Park. ABOUT AGCO: AGCO (NYSE: AGCO) is a Fortune 500 corporation offering solutions across the agriculture chain with a complete product portfolio. Our grain and protein brands include GSI, Cimbria, AP, Cumberland and Tecno – global manufacturers of grain systems, seed processing, and swine and poultry production equipment. We are dedicated to protecting every acre, every harvest and every animal in our customers’ care. By doing this, we help advance agriculture in developing countries and around the world. AAP/EEO Statement GSI is an equal employment opportunity employer and is committed to maintaining a workplace that is free of inappropriate or unlawful conduct on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or other protected group status as provided by law.

Corteva Agriscience™ has an exciting internship opportunity at UIUC campus during Winter/Spring 2020. The successful candidate will work with leading research and development Scientists to develop and apply state of the art statistical and machine learning methods in the area of bioengineering and bioprocessing. Required Qualifications Currently enrolled in a graduate program in quantitative sciences such as Statistics, Computer Science, Bioinformatics or a related field. Experience with statistical inference and prediction modeling. Knowledge of descriptive statistics and experimental data analysis, particularly analysis of variance, mixed models and non-linear regression. Programming experience in R or Python, preferably in high-power computing environment. Effective written and verbal communication skills. Candidate should demonstrate ability to successfully collaborate with Scientists. Attention to detail is a critical skill for the internship. Candidate should be able to develop accurate software code and written reports. Critical thinking and strong problem-solving skills are a plus. About Corteva Corteva Agriscience™ is the only major agriscience company completely dedicated to agriculture. By combining the strengths of DuPont Pioneer, DuPont Crop Protection and Dow AgroSciences, we’ve harnessed agriculture’s brightest minds and expertise gained over two centuries of scientific achievement.At Corteva Agriscience™, we are driven by our beliefs and our purpose, which is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. How to Apply Send resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com reference the position title in your response of interest to this posting. Your resume will be forwarded to the proper hiring team for consideration.

Corteva Agriscience™ seeks students for internships within our global Data Science and Informatics group working on rapid imaging solution development for digital agriculture at our University of Illinois at Urbana-Champaign offices. We are aggressively building Big Data and Predictive Analytics capabilities to deliver improved services to our customers. Our interns will work on key problems related to delivery of imaging technology applications for internal phenotyping assays. The intern should be familiar with software development tools and practices on Linux/UNIX environments. Intern will work with imaging scientists, machine learning engineers and clients to provide customer value. What you’ll do: Design and implement web-enabled customer-facing frontend and backend software development for clients to consume imaging-related assay outputs. You will utilize front-end web development tools and frameworks such as React, JavaScript, Bootstrap, VUE.js, etc. to create easy-to-use user experiences. Develop appropriate backend infrastructure with tools and languages such as Python, SQLAlchemy, Pandas, OpenCV, SciKit-image, NodeJS. Create interfaces against production data repositories to consume imagery and related metadata. Enable scientific software development by following best practices and employing basic project scaffolding approaches (semantic versioning, security, infrastructure-as-code, etc.). Meet and work closely with clients to get requirements and feedback on solutions. Education and experience: Currently enrolled in an undergraduate education program pursuing (or planning to pursue) a B.S. in Computer Science, Software Engineering or related scientific discipline. Preferred Qualifications: Experience in C/C++ and Python programming with the ability to quickly create prototype solutions on Unix / Linux platforms. Development with front-end and back-end web technologies e.g. service-oriented architectures, React, AngularJS, Flask, FastAPI, MongoDB, REST APIs, JSON, HTML, JavaScript, CSS, NPM, grunt, gulp, basic project scaffolding. Strong knowledge of Linux with the ability to be able to build applications via the command line, debug issues, update software on Linux servers & perform system administration tasks. Proficiency with bash scripting and CLI tools (awk, sed, find, xargs, wc, head). Experience with Docker, application containerization, deployment and orchestration. Interest in learning new technologies, programming techniques, languages, and operating systems is a must. Excellent interpersonal skills and a can-do attitude with the ability to thrive in a fast-paced dynamic environment. Excellent analytical and problem-solving skills with the ability to work as part of a global team and, at times, independently while appropriately prioritizing tasks. Strong verbal and written communication skills in English are required. How to Apply Send resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com reference the position title in your response of interest to this posting. Your resume will be forwarded to the proper hiring team for consideration.

A draft software version (Python) currently exists. It is anticipated during the busy season (Feb-May), various modifications for the software will need to be made as well as any enhancements required by the warehouse team that this software is being developed for. This student will work with the Johnston IA team to modify any exiting tool(s) required by this team for turnkey operation. Since usage is planned to increase by 4x for the next several years, any bugs (current and anticipated) need to be addressed prior to increase in throughput. Deliverable(s) and Impact: An optimization/simulation tool (developed in Python) that can simulate the sampling of the warehouse during the busy season (Feb-Apr) is required to avoid any bottlenecks that may occur and assign appropriate resources as needed. In addition, seed retrieval in an optimal fashion is required such that order constraints for research stations are met in a timely fashion. The software will be used by DSI/Engineering and breeding individuals at the Johnston, IA location. Current assumption is for people movement within the warehouse for their different work areas, but anticipate robots will be used in future endeavors depending upon resource allocation (capital required for a robotic system), and how well this optimization programming works. Skill set of the desired candidate: Optimization, Python programming, graphics and interface development, engineering and/or a related field. How to Apply Send resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com reference the position title in your response of interest to this posting. Your resume will be forwarded to the proper hiring team for consideration.

Corteva Agriscience™ seeks student interns for a continuation of an ongoing project, that is an extension of prior work that focuses on the mechanistic modeling of the breakup of 2-phase oil/water systems when delivered using agricultural nozzles. The development and extension of mathematical models from first principles regarding the breakup of liquid sheets into droplets has been proposed almost 50 years ago but only recently has theoretical work been undertaken to understand this phenomenon. A two-liquid phase (oil-inwater) continuous sheet of fluid emanating from a spray nozzle breaks into drops is first initiated by forming holes within the sheet. Corteva has various models describing hole grow (once formed) and collision to form ligaments, where the ligaments break into droplets via the well-known Rayleigh-Plateau stability theory. What is lacking is a hole perforation model, and thus model refinement is required for the development of a nucleation model that accounts for hole formation within a continuous sheet of fluid that begins this process (which is largely unknown today). Use of analytical/math techniques to quantify experimental observations aligns specifically with the Stats/Math group of Corteva Agriscience. Understanding the ultimate drop size distribution that a liquid sheet succumbs to is a capability development for the company and industry in modeling spray atomization. Once nucleation of holes within the sheet is known and adequately addressed, Corteva Agriscience has all the fundamental modeling pieces in place for developing the next generation of low drift two-phase formulations to achieve low drift potential [i.e., nucleation of holes (what will be addressed by this proposal), hole growth and collision to form ligaments, followed by ligament breakup into drops]. A strong understanding of fluid dynamics is required. This is a physical modeling approach via fluid mechanics which begins with an oil-in-water system where the oil phase (e.g., oil drop) is large enough to touch both interfaces of a liquid sheet emanating from a spray nozzle (it is assumed this is what must happen to initiate a hole in a sheet that ultimately leads to sheet rupture and is supported by video observations) which is assumed to lead to a hole forming within a sheet. Holes that form ultimately leads to sheet rupture. The modeling tool(s) to be developed is based upon a first principles high level programming language (Python) which will be used to supplement the other tools that have been developed once holes are formed. Approaches beginning with hole nucleation, coupled with hole growth, ligament formation, and ligament breakup in drops can coupled to generate a comprehensive tool created from this work. Deliverable(s) and Impact: A modeling tool that can be used to recover experimental observations of the breakup of two-phase sheets from agricultural nozzles beginning with nucleation of holes that form in these fluid sheets to ultimately obtain the droplet size we are after (e.g., reduction of drops < 150 um) is the final piece that is lacking for sheet breakup of two-phase systems. This project will focus on the nucleation of holes (where, why and how). Formulation and application team members will benefit who routinely randomly design and test different formulations and often take the “best” from limited experiments/observations. However, a modeling tool for determining the nucleation of holes within a properly designed 2-phase formulation is sought such that optimal spray characteristics are obtained [e.g., ultimately reduce the driftable fine fraction when applied by standard application methods (e.g., ground and aerial spray) while keeping the larger drops of similar size]. This is a carry-over project which requires refining the python code for hole formation, expansion and breakup into droplets, with refinement on why holes are initiated in two-phase systems (the last unknown in modeling this behavior). It is anticipated a publication will be generated and thus writing skills should be good. Skill set of the desired candidate: Fluid mechanics knowledge, Engineering (Mechanical, Civil, Chemical), Theoretical and Applied Mechanics, Applied Math, Applied Physics. How to Apply Send resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com reference the position title in your response of interest to this posting. Your resume will be forwarded to the proper hiring team for consideration.

Corteva AgriscienceTM is seeking a student for an internship within our global Data Science and Informatics group to work on data science projects for discovery of new agricultural molecules. We are aggressively building Big Data and Predictive Analytics capabilities to deliver improved services to our customers. The candidate selected for this position will be working at our research site at the University of Illinois Research Park at Champaign, IL. Job Description: This position will be primarily geared towards application of data visualization tools, machine learning and bioinformatics methods for biological data. We are looking for an intern candidate who will play a role in curating large datasets, developing and deploying learning algorithms with diverse biological data as part of a computational pipeline to discover novel molecules for use in agriculture. Ideal intern candidates should possess expertise in Bioinformatics and Data Science, have familiarity with developing visualization tools for large datasets. The student interns will be working on state-of-the-art methods and will also explore newer approaches for mining diverse and rich biological datasets. Duties and Responsibilities: Work closely with other Data scientists, systems biologists and computational biologists in a dynamic research environment to design and implement sophisticated end-to-end solutions for molecular discovery. Demonstrate independent and creative thinking by making novel models for analyzing large genomics datasets, and drawing sound scientific conclusions. Participate in review meetings throughout the semester and a prepare a report/poster/presentation before colleagues and peers. Job Qualifications: Requirements: Internships are available to students that are currently pursuing any degree in Bioinformatics, Biological Sciences, Chemistry, Computer Science, or related fields Should have completed coursework in machine learning, genomics, bioinformatics or related Should demonstrate projects in the field of genomics, bioinformatics and/or machine learning. Strong programming skills Python (or similar) languages with the ability to quickly create prototype solutions on Unix / Linux platforms. Knowledge of visualization tools: Javascript, Cytoscape, is essential Experience working with open source libraries and toolkits such as scikit-learn, TensorFlow, Biopython, Jupyter, etc. Must be able to work 20 hours per week during the timeframe of January to May 2020. Excellent verbal and written communication skills in English are required. Nice-to-have: Experience with AWS and/or High Performance compute clusters Knowledge of commonly used Systems Biology tools Availability beyond spring 2020 semester as an extension of internship HOW TO APPLY Send resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com reference the position title in your response of interest to this posting. Your resume will be forwarded to the proper hiring team for consideration.