Student Employment & Internships

Summary Corteva AgriscienceTM is seeking a student for an internship in our Global Farming Solutions & Digital group. The candidate selected for this position will be working at our research site at the University of Illinois Research Park at Champaign, IL. This position is only open to currently enrolled students of the University of Illinois – Urbana/Champaign*   Project Goal/Background: Title: AutoML Building the AutoML system to automate the process of training deep learning algorithms. The goal of this project is to develop end to end system from annotation to train deep learning model without any domain expertise. The system will be automated for ML work with user-friendly UI.   Deliverable(s) and Impact: We will deliver a scalable pipeline to run the most common deep learning models in some clicks. The tool will be useful across organizations and will enable users to train the DL network easily.   Skillset of the desired candidate: The desired candidate should be enrolled in MS or Ph.D. program preferably in an engineering discipline (computer science or electrical engineering) or related field with exposure to course work in the areas of image processing, Machine learning, Deep learning, etc. The candidate should have some experience in python, tensorflow/pytorch, and Linux environments. Additionally, the candidate must have good interpersonal and communication skills. Prior docker experience is a plus.   Expected hours/week: 40 hours per week in Summer 2022 Reply to and send a current resume to: Nitin Kandpal, nitin.kandpal@corteva.com  *You must reference the job Title: AutoML Application Deadline: February 11, 2022   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. · * If you are enrolled in the Fall 2021 semester but not taking summer coursework you can be considered eligible. Proof of enrollment must be presented if requested. · ** Summer semester 40-hour work week is preferred but you may negotiate lesser hours if offered but are eligible to work up to 40 hours a week.

Overview We are not just offering a job but a meaningful career! Come join our passionate team! As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture. We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more! Visit our Careers page for more information on our benefits, locations, and the process of joining the State Farm team! Responsibilities State Farm has developed a unique internship opportunity for graduate students at the University of Illinois – the Modeling and Analytics Graduate Network (MAGNet).  MAGNet interns apply their statistical modeling and analytic skills to a wide variety of business problems faced by the State Farm organization. Most MAGNet interns are in the Statistics Department’s graduate program, but graduate students in other highly quantitative disciplines may also be considered. While participating in the MAGNet program, students are evaluated and given consideration for full-time post-graduate employment at various State Farm locations: Bloomington, Illinois, Atlanta, GA, Dallas, TX, or Champaign, IL.MAGNet interns apply their predictive modeling and data analysis skills to a variety of business problems, in many different lines of business and departments (e.g., marketing, insurance, and banking) including: Pricing and Underwriting Risk Predictive Modeling Claims Automation Predictive Modeling Sales/Growth Forecasting, Econometric and Predictive Modeling Data mining applications for Claims and Competitive Analysis Evaluating new statistical methods and tools for potential use by State Farm Modelers What You Can Expect: During the summer, MAGNet interns will work 38.75 hours a week Internship duration:  Summer 2022 semester 5/16/2022 to 8/5/2022 What’s In It For You:MAGNet is similar to a 50% graduate assistantship offered by the University and interns receive hourly pay comparable to that offered by the University for graduate assistants, as well as full tuition assistance for the duration of the internship. As with an assistantship, tuition costs are covered. Some State Farm benefits may also apply, including the following: Relaxed dress code Direct experience you can leverage for you future career An opportunity to learn and network with industry-leading influencers A Learning Environment: Mentoring and Development to help you succeed We love to give back! Being involved in volunteer opportunities to give back to the community A culture that embraces Diversity and Inclusion – it is simply the right thing to do! Qualifications: Applicants must be accepted or currently enrolled in an approved graduate program at the University of Illinois Statistical modeling and/or data mining experience Data analysis and experience with database tools Computer programming (specifically Python, SAS, or R) skills Communication and presentations skills Interns are assigned based to a wide variety of departments for experience, based on major and interest areas. Majors considered: Statistics Mathematics Computer Science Finance Economics Actuarial Science Data Science    How to Apply: Apply via the State Farm careers site *****Applicants are required to be eligible to lawfully work in the U.S. immediately; the employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity*****

About the job It is our people behind life’s passions who will make the big difference. If you are interested in becoming part of a company that delivers market leading products, driving your own career and working with brands committed to active lifestyles, then you’ve found your fit. Have what it takes? Join us. PLEASE NOTE: Brunswick will never ask you to pay any money to participate in the interview process and will not require that you provide sensitive information such as credit card or bank account information. We have recently become aware of certain efforts by cyber criminals who are publishing and promoting fake job listings on third party websites, such as Craigslist and Indeed, by pretending to be actual Brunswick employees. To help ensure you don’t fall victim to any of those scams, never disclose sensitive information as mentioned above. All job offers will come to you via the candidate portal you create when applying to a posted position through https://www.brunswick.com/careers. Only after accepting an offer through this portal will you be asked for SSN and DOB. If you are ever unsure or want to ask any questions, please contact the Brunswick HR Shared Service Center at 866-278-6942 or HRSharedServices@brunswick.com. ELECTRICAL ENGINEERING INTERN Brunswick i-JET is seeking an Electrical Engineering Intern to join our Research Park Team in Champaign, Illinois. As an Electrical Engineering Intern, you will work collaboratively and independently with highly qualified engineering professionals who are responsible for the design and development of components and assemblies relating to electric mobility in the marine recreational environment. You will become an integral member of an electrical engineering team committed to delivering superior results. You’ll learn how to work within the engineering team as you own and manage assigned projects from inception to completion. As The Electrical Engineering Intern, You Will Research / investigate emerging technologies in electronics and power systems in the marine industry Evaluate and perform benchmark testing of available products through simulation and physical evaluation Design hardware prototypes – proof of concept electronics, connected / wireless devices, camera systems Work with Electronics Engineers to prototype wiring harnesses Support benchmarking activities of competitive products Qualifications Of a Successful Candidate Current enrollment in an BS/MS program in engineering at the University of Illinois Urbana Champaign Must be willing and able to work a minimum of 12 hours, per week for the duration of the internship. If on a student visa, must be able to obtain CPT work authorization. Experience with AC and/or DC power systems Familiarity with power inverters, battery systems, digital systems and/or power supplies Experience with or knowledge of Arduino or similar devices desired Ability to prepare and deliver quality presentations and report An interest in electric mobility and a desire to learn We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and inspiration. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process. Equal Opportunity Employer: Minorities/Women/Protected Veterans/Disabled Brunswick and Workday Privacy Policies #Brunswick Corporation

Summary Corteva Agriscience is seeking a student for an internship within our global Farming Solutions & Digital group. The candidate selected for this position will be working at our research site at University of Illinois Research Park in Champaign. This position is only open to currently enrolled students of the University of Illinois – Urbana/Champaign*. Background/Project Goals: Understanding how molecules are transformed by target (i.e.: pests), and non-target (e.g.: humans, crops, environmental microbes) species allows scientists to evaluate their bioactivity, and assess (eco-)toxicological risk, among others. Therefore, metabolism prediction tools are critical in the discovery and optimization of agrochemicals. The most common approach in metabolism prediction is the use of (semi-)manually designed generic reaction rules, either alone or in combination with predictive models (e.g.: for sites of metabolism) [1]. While the approach is interpretable, the generation and curation of generic rules is cumbersome and expensive. Moreover, such rules generally provide only local structural constraints, and thus perform poorly on novel molecules. The current project aims at exploring deep learning approaches to address these limitations. Examples of template-free prediction tools have been proposed to predict the products of biochemical and organic reactions, which use among others, NLP-based or graph-based approaches [2-5]. By working with a Corteva supervisor and collaborating with key internal scientists, the candidate will: (1) explore deep learning approaches for prediction of transformations; (2) develop a software tool for the prediction of metabolites in selected biological species, using template-free, generalizable deep learning models; (3) document the research and development process; (4) publish the code through the internal software management platform; and (5) report/present the work. What will be delivered at the end of the project and the impact it will create? Upon completion of this project, the following items shall be delivered: • A training dataset and method/model for template-free, deep learning-based metabolism prediction of small molecules • A thorough documentation of the workflow, architecture, as well as training and testing procedures • An evaluation report of the developed model • A code repository managed via our internal platform The final model(s) will be made available to and used by research scientists to enhance metabolite identification procedures. The designed train/build/evaluate workflow could be used to build models for various types of metabolism and/or biological species, without need for additional reaction rule curation. This project is a great opportunity to do impactful research through exploration and implementation of state-of-the-art techniques in order to accelerate the discovery of sustainable, safer, and environmentally friendly agrochemicals. Qualifications: A student enrolled in a MSc or PhD program (Data Science, Computer Science, or in Life sciences with Data Science experience) is preferred. Additionally, the ideal candidate should have the following qualifications: • Intermediate to advanced experience with deep learning algorithms and concepts (especially NLP, transformers, graph neural networks, transfer learning) • Demonstrated experience in building and evaluating deep learning models (examples of projects by the candidate, e.g.: on GitHub, would be a plus) • Experience with deep learning packages (e.g.: PyTorch, Tensorflow, scikit-learn, Chemprop, Deepchem, etc.) • Demonstrated experience with object-oriented Python programming • Experience with cheminformatics concepts and tools (e.g.: SMILES, RDKit) is a strong plus • Experience with Cloud Computing (e.g.: Kubernetes, AWS) is a strong plus • Experience with software management tools (GitHub or GitLab) is a plus • Detail-oriented • Focus on high quality and error free deliverables • Good time management • Ability and willingness to work in a team, and independently • Ability to manage coursework (if applicable) and internship work • Good communication skills Expected hours/week: 40 hours per week in Summer 2022 Reply to and send current resume to: Yannick Djoumbou Feunang, yannick.djoumboufeunang@corteva.com You must reference the job title: Deep Learning for Metabolism Prediction in your response. Application Deadline: February 28, 2022   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.

Summary Corteva AgriscienceTM is seeking a student for an internship in our Global Farming Solutions & Digital group. the candidate selected for this position will be working at our research site at the University of Illinois Research Park at Champaign, IL. This position is only open to currently enrolled students of the University of Illinois – Urbana/Champaign*  Construct Engineering and Optimization using Machine Learning Methods Project Goal/Background: The design of experiments deals with planning, conducting, analyzing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters. A strategically planned and executed experiment may provide a great deal of information about the effect on a response variable due to one or more factors.   The trait optimization process involves designing, creating, and testing a number of different construct designs for each lead/active found during the preceding gene discovery process, so as to minimize the risk of failure in construct designs deployed for commercial event generation. Engineering and optimizing designed constructs using machine learning, in terms of the different elements used and the ease of transformation into plants of interest, to achieve the required level of expression would go a long way in assisting with the design of constructs to test.   This project will leverage existing construct design data gathered over years. Machine learning algorithms will scan existing data, learn patterns, make predictions, and help to quickly find optimal construct designs.  Deliverable(s) and Impact: We will deliver a user-friendly interface to optimize constructs based on a machine learning algorithm or combination of algorithms.  Construct design and optimization is critical for the success of product concepts during commercial event generation. If we can leverage machine learning methods to design and optimize constructs, that would increase the success of the construct measured in terms of expression and fulfillment of intended purpose, and the ability to guide the design of constructs using historical data.  Skillset of the desired candidate: The ideal candidate should be enrolled in a Ph.D. program (2nd or 3rd year) preferably in an engineering discipline (e.g., computer science, electrical/mechanical/civil engineering) or related quantitative field with exposure to course work in the areas of linear algebra, statistics, machine learning, and optimization algorithms (a plus). The candidate should have intermediate to advanced experience with machine learning and deep learning algorithms and concepts. Also essential is the ability to code in Python, R, or Julia, and experience with working in Linux environments. Additionally, the candidate is keen on working in a team, has the willingness to learn new things, and possesses good time management and communication skills. Prior experience with optimization algorithms, and a basic knowledge of biology is a plus.  Expected hours/week: 40 hours per week**   How to Apply To apply, send a current resume to: Rasna Walia, rasna.walia@corteva.com by February 11, 2022 to be considered for the position.  You must reference the job Title:  Construct Optimization and Engineering using Machine Learning Methods in your response.     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.   * If you are enrolled in the Fall 2022 semester but not taking summer coursework you can be considered eligible.   Proof of enrollment must be presented if requested.   ** Summer semester 40-hour work week is preferred but you may negotiate lesser hours if offered but are eligible to work up to 40 hours a week.  

Electric Power Engineers, Inc. (EPE) works with clients on a global scale designing solutions for renewable energy (solar/wind/battery storage), Generation Interconnection, Transmission Planning, Distribution (DER), and Smart Grids. We are seeking two part-time interns for our Marketing/Business Development Team in our Champaign, Illinois office/campus. Position Overview: As the Marketing Intern you will be working directly with our internal Business Development Team.  You will have the opportunity to touch a range of projects and contribute to the creation of marketing materials for print and digital media. Principal Duties and Responsibilities (Essential Functions): Refine website and social media content by obtaining necessary materials from key EPE executives. Update and modify EPE’s web page design using appropriate graphics, videos, text, and layout. Design and produce print and digital media for emails, handouts for trade shows, brochures, customer communications, presentations, and other external marketing material. Run reports that measure program effectiveness and present to relevant stakeholders. Collaborate as part of EPE’s Business Development Team to help EPE meet growth objectives for customers, sales, and brand awareness. Research best practices, market insights/trends, and competitive activities. Assist the development of long-range strategic marketing plans. Aid in the planning and development of digital advertising, promotional campaigns, and strategies. Qualifications & Skills: Knowledge of marketing practices, procedures, and design principles. Knowledge of current and emerging web publishing standards and best practices related to accessibility and usability. Skill in design, illustrations, infographics, and data visualizations. Skill in typography, color, and layout composition. Skill in oral and written communication. Ability to manage multiple projects and remain flexible through multiple revisions from concept to completion while maintaining an attention to detail. Ability to manage time and schedules. Ability to work on projects of all scales and types, both collaboratively and independently. Ability to work with Adobe Creative Cloud. Required Education and Experience: Completion of or current enrollment in a bachelor’s or graduate degree program with a major in marketing or graphic design from an accredited college or university. Minimum GPA of 3.0 or higher Experience designing digital and print materials. Experience creating using Adobe Creative Suite. Experience with WordPress or similar content management system for website design. Proficiency in Microsoft Office Suite (Word, PowerPoint, Excel).   Preferred Qualifications: Previous experience, education, or exposure to the power industry/renewable energy. Application Instructions: Applicants should include a portfolio of previous examples of their work. This includes but is not limited to communications, news releases, social media, or other related work products. Please apply online here: https://epeconsulting.bamboohr.com/jobs/view.php?id=88   Position Type/Expected Hours of Work: This position will be part-time (16 – 20 hours per week), depending on the applicant’s availability. The core work schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m.