Student Employment & Internships

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 Planning, Distributed Energy Resources (DER), and Smart Grids. Internships at Electric Power Engineers, Inc. are more than just a job, they’re an experience! Our interns bridge theoretical classroom concepts and hands-on training to overcome real-world challenges. Throughout your internship, you will develop skills to advance professionally and academically. Position Overview: The Power Systems Engineer Intern – Generation Interconnection will work with a group of engineers who are motivated and learn from each other. The Intern will assist in helping clients interconnect large-scale wind, solar, and battery energy storage systems (BESS) to the grid. You will contribute by performing individual tasks for designing, modeling, analyzing, and reporting for interconnection projects. Most importantly, you will help these interconnections become an investment for the future and help the environment by facilitating the long-term goal of net-zero carbon emission. Principal Duties and Responsibilities (Essential Functions): Assists in the design of wind, solar, and BESS generation interconnections projects. Performs individual tasks to prepare for generation interconnection studies, dynamic studies, reactive deficiency studies, transient stability analysis, short circuit analysis, voltage analysis, and load flow analysis. Gains understanding of PSS/E, PowerWorld, PSLF, TSAT, and PSCAD modeling for renewable generation. Supports the engineering team to provide clients with an understanding of the interconnection process for different Independent System Operators (ISO) and Regional Transmission Organizations (RTO). Researches current state/federal/ISO regulatory requirements and NERC/FERC compliance. Aids in the preparation of documentation for interconnection process; requirements, agreements, and compliance. Works under the direction of the Engineering Manager to support generation interconnection projects within Texas and throughout the United States. Performs individual tasks according to good engineering practice and EPE procedures. Required Education and Experience: Completion of or current enrollment in a bachelor’s or graduate degree program with a major in electrical engineering (preferably with an emphasis in Power Systems) from an accredited college or university. Minimum GPA of 3.0 or higher Completion of or current enrollment in one or more Power Systems classes: Power Systems Analysis Power System Protection and Relaying Power System Operation and Management Electric Machine Dynamics Power Electronics Preferred Qualifications: Previous experience, education, or exposure to the power industry/renewable energy. Passing the Fundamentals of Engineering (FE) examination. Work Location/Environment: This position operates in a professional office environment in Champaign, Illinois. This role routinely uses standard office equipment. Physical Demands The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of this job, with or without reasonable accommodations. While performing the duties of this job, the employee will communicate with colleagues and clients, move about the office to access files and equipment, operate computers and other office machinery, and remain in a stationary position. Position Type/Expected Hours of Work This position can be either full-time or part-time, depending on the applicant. The general work schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m. Additional Eligibility Qualifications None required for this position.   Click here to apply!

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 Planning, Distributed Energy Resources (DER), and Smart Grids. Internships at Electric Power Engineers, Inc. are more than just a job, they’re an experience! Our interns bridge theoretical classroom concepts and hands-on training to overcome real-world challenges. Throughout your internship, you will develop skills to advance professionally and academically. Position Overview: The Python Developer Intern – Transmission Planning will join a stellar team of 17 collaborative engineers that have fun while providing consulting services to their clients. The Intern will automate manual tasks to speed up processes and make them more intuitive. You will perform weekly tasks that build up to the overall development and maintenance of Transmission Planning tools. The ideal candidate enjoys interacting in a team environment and taking initiative in their work. Principal Duties and Responsibilities (Essential Functions): Composes effective and scalable code through testing, debugging, evaluation, and analysis. Develops back-end components to improve testing, data collection, and automation. Supports the development, testing, and maintenance of internal databases for transmission planning projects. Contributes to functionality improvements of existing systems and data libraries. Coordinates with transmission planning engineers to understand user requirements and provide technical solutions. Documents process workflows for quality assurance, quality control, and repetition. Takes responsibility for the timely completion of projects assigned while meeting all project quality objectives. Performs individual tasks according to good engineering practices and EPE procedures. Required Education and Experience: Completion of or current enrollment in a bachelor’s or graduate degree program with a major in electrical engineering or computer science (preferably with an emphasis in Power Systems) from an accredited college or university. Minimum GPA of 3.0 or higher Experience programming using Python. Experience using Python tools such as pandas, SciPy, NumPy, xlrd, and xlwt. Preferred Qualifications: Previous experience, education, or exposure to the power industry/renewable energy. Completion of or current enrollment in one or more Python programming class Completion of or current enrollment in one or more power systems class. Application Instructions: Applicants should include a portfolio of previous examples of their work, if available. This includes but is not limited to scripting, automations, data sets, or other related work products. Work Location/Environment: This position operates in a professional office environment in Champaign, Illinois. This role routinely uses standard office equipment. Physical Demands: The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of this job, with or without reasonable accommodations. While performing the duties of this job, the employee will communicate with colleagues and clients, move about the office to access files and equipment, operate computers and other office machinery, and remain in a stationary position. Position Type/Expected Hours of Work: This position can be either full-time or part-time, depending on the applicant. The general work schedule   Click here to apply!

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals, and branded generic medicines. Our 109,000 colleagues serve people in more than 160 countries. You are submitting for general consideration only. Your qualifications will be reviewed and if you fit the current need, you will be contacted by a Talent Acquisition Professional. Opportunities are part-time occurring primarily during the school year, but can include the Summer semester as well. They could exist within any of our divisions and require any number of backgrounds. Candidates will be sourced from this posting first. QUALIFICATIONS: MUST BE A UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN STUDENT   AN EQUAL OPPORTUNITY EMPLOYER Abbott welcomes and encourages diversity in our workforce including Minorities, Women, Individuals with Disabilities and Protected Veterans We provide reasonable accommodation to qualified individuals with disabilities. Click Here to Apply!

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.   MECHANICAL ENGINEERING INTERN Brunswick i-JET is seeking a passionate and talented mechanical engineer to join our Research Park Team in Champaign, IL. As a Mechanical 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 used within the marine group as well as our fitness division. You will become an integral member of an 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 MECHANICAL ENGINEERING INTERN, YOU WILL: Research Emerging Technologies in Connected/Wireless Products as well as heaAutonomous Vehicles sensor systems Be introduced to Advanced Software Platforms on Linux Design Hardware Prototypes for Proof of Concept Assemblies Work with Design Analysis teams to run linear and non-linear types of structural analysis as well as CFD Support benchmarking activities of competitive products Investigate new technologies in the marine industry QUALIFICATIONS OF A SUCCESSFUL CANDIDATE: Current enrollment in a BS or MS program in Mechanical Engineering or related field 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. Self-motivated and engaged learner Ability to prepare and deliver quality presentation and reports 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 EEO is The Law – click here for more information #Brunswick Corporation Click Here to Apply!

Welcome to the P&G Smart Lab. This is where “what if” meets reality. We’re building an inspiring space for explorers, thinkers and makers where we can work together to improve the future of home life around the world. Procter & Gamble is best known by our different brands. It’s likely you’ve used a few of our brands already today – Swiffer, Old Spice, Tampax, Always, Olay, Charmin, Bounty, Gillette, Tide, Gain, Cascade, Pepto Bismol, Dayquil, among many others. We impact about 5 billion – yes, you read that right – lives on a regular basis. We are building a place where we can ask some pretty interesting questions about consumer behaviors, habits, and practices. Our work in the Smart Lab is breaking boundaries in the consumer behavior space. We’re using sensors and smart devices to study what people actually do. Think about it – would you remember how many sheets of toilet paper you used last Thursday? Most people wouldn’t. That’s why we’re doing things a little differently. We’re looking for motivated and detail-oriented students to help manually tag and classify actions captured on video that will enable our consumer market knowledge function. This role does not involve coding/programming. You may be involved in other Smart Lab tasks as they arise. You will be a pretty good fit for this job if you have the following skills and abilities: You have a strong attention to detail, and you are organized You can work independently on repetitive tasks Excellent verbal and written communication skills Familiarity with Microsoft Excel/Spreadsheets Experience with action tagging / qualitative research is a plus but not required You will be expected to work 15 to 20 hours a week in the spring semester, with possible continuation into the summer – project and schedule dependent. This role involves highly repetitive tasks but is quite flexible – as you can work on this any time (nights, weekends, between classes, etc.). The position is fully remote but directed from the P&G Smart Lab at the University of Illinois Research Park in Champaign, IL. Please send your CV or resume in PDF format to Jarai Carter at carter.j.9@pg.com with the subject line “Video Tagger Student Spring 2022”.

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill’s global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive. Internship Summary: YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK Want to work at the forefront of artificial intelligence and agriculture? In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains globally and has 1500 manufacturing assets across the world.  Molecular Modeling and Data Science MMDS) is a part of this presence.  MMDS uses advanced molecular dynamics tools and R&D data to assist the teams that provide valuable innovations. We are continually looking for new, specialty ingredients with specific characteristics that will delight our customers and consumers alike. As a Data Science Intern, from day one, you will be an integral part of the team working with the engineering and data science teams, and will tackle real challenges, cultivate your curiosity, have client exposure, enjoy both personal and team accomplishments and have your initiative acknowledged along the way. You will collaborate and build relationships with colleagues and clients who represent diverse work, culture and resolution styles. We look for people who want to grow, support, think and produce. This is a part-time Internship for UIUC students to take place in the Spring 2022 Semester. Key Accountabilities: This position is part of the Engineering and Data Sciences team.  Your project will connect you back to the business where you will interact with a multidisciplinary team of subject matter experts, R&D scientists, project managers etc. You will bring strong technical skills to our data science capabilities. You will connect and explore data; and develop, and build computational modeling and simulation pipelines using state of the art software. In this position you will be part of the Molecular Modeling and Data Science Capability where you will be working to develop molecule and formulation discovery pipelines, prototyping applications and mining R&D data. 70% – Develop and code models by applying algorithms to large structured as well as unstructured data, completing project deliverables 20% – Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience. 10% – Design strategies and propose algorithms to analyze and leverage data from a variety of sources. Job Location: This position is located at the University of Illinois, Urbana-Champaign in Champaign, IL. Required Qualifications: Must be currently enrolled in a Master’s or PhD program at the University of Illinois, Urbana Champaign in computational chemistry, molecular modeling, structural biology, or related field with strong theoretical background in Data Science or Machine Learning with a graduation date of May 2022 or later Able to complete a semester-long, part-time internship in the Spring of 2022 (January – May 2022) Strong background in molecular modeling and at least 2 years of experience of using a Molecular Dynamics package (Gromacs, Namd, Schrodinger etc). Experience working in HPC or a cloud environment e.g., Amazon Web Services Solid background in molecular structures applied to at least one area: protein structure, small molecule interactions, protein-protein interactions, materials science, food science Experience developing and testing machine learning or statistical projects. Understanding of various other modeling algorithms, e.g., regression, trees-based models, neural networks, ensembles, etc. Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy) Preferred Qualifications: GPA of 3.0 or above Right to work in the United State without sponsorship Experience in agriculture, commodity, or manufacturing businesses Experience in deep learning neural networks Experience with Big Data development in Hadoop and Spark frameworks Equal Opportunity Employer, including Disability/Vet. Click To Apply Here!

Description:  Want to build a stronger, more sustainable future and cultivate your career? Join Cargill’s global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive. Internship Summary: YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK Want to work at the forefront of artificial intelligence and agriculture? In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains globally and has 1500 manufacturing assets across the world. With that footprint comes massive amounts of data. AI in Smart Manufacturing unleashes the power of automation, data, and analytics to improve manufacturing.  Companies are increasingly building digital twins using the wealth of IoT sensor data collected across the plant to increase the OEE (Overall Equipment Effectiveness) of the plants leading to higher yields, improved efficiency, and increased quality at a minimal cost.   As a Smart Manufacturing Intern, from day one, you will be an integral part of the team working with the engineering and data science teams, and will tackle real challenges, cultivate your curiosity, have client exposure, enjoy both personal and team accomplishments and have your initiative acknowledged along the way. You will collaborate and build relationships with colleagues and clients who represent diverse work, culture and resolution styles. We look for people who want to grow, support, think and produce. This is a part-time Internship for UIUC students to take place either in the Spring 2022 Semester. Key Accountabilities: This position is part of the Engineering and Data Sciences team.  Your project will connect you back to the business where you will interact with a multidisciplinary team of plant managers, process control engineers etc. You will bring strong technical skills to our data science capabilities. You will explore, connect, and mine data; plus develop models using algorithms for pattern detection. In this position you will be part of the AI in Smart Manufacturing where you will be working to solve reliability, energy performance, safety, predictive maintenance, forecasting, and optimization problems. 70% – Develop and code/build models for unit process operations by applying mass and energy balances, reaction kinetics, and process control algorithms  to different types of process operations 20% – Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience. 10% – Design strategies and propose algorithms to analyze and leverage data from a variety of sources. Job Location: This position is located at the University of Illinois, Urbana-Champaign in Champaign, IL. Required Qualifications: Must be currently enrolled in a Masters or PhD program at the University of Illinois, Urbana Champaign in Process Systems Engineering or related fields (Chemical or Mechanical Engineering, or Biological Systems Engineering etc.), Data Science, Mathematics, Physics, or related fields with a graduation date of May 2022 or later. Able to complete a semester-long, part-time internship in the Spring of 2022 (January – May 2022). Experience in developing and testing process models from first principles machine learning or statistical projects. Experience with various basic process control theory – proportional-integral-derivative control. Ability to understand complex and ambiguous business needs and apply the right tools and approaches Curious, self-motivated, driven, and have a passion for problem solving Strong presentation skills; ability to present technical solutions to non-technical persons in an easy to understand way Preferred Qualifications: GPA of 3.0 or above Right to work in the United States without sponsorship Experience in agriculture, commodity, or manufacturing businesses Experience working MATLAB/Simulink, ASPEN Plus Suite Equal Opportunity Employer, including Disability/Vet. Click Here to Apply!

Description:  Want to build a stronger, more sustainable future and cultivate your career? Join Cargill’s global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive. Internship Summary: YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK Want to build a stronger, more sustainable future and cultivate your career? Join Cargill’s global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.  In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains. With that footprint comes massive amounts of data, both structured and unstructured, that can drive decision-making. You will be developing forecasting projects with advanced machine learning techniques that also use external inputs with continuously flowing data. By employing more sophisticated methods than standard time series analysis, your solutions will deliver significant value to Cargill’s business. As a Data Science Intern, from day one, you will be an integral part of the team.  You will tackle real challenges, cultivate your curiosity, be visible, and build relationships with colleagues and clients who represent diverse work, culture, and styles of communication. Your initiative and insight will be acknowledged and valued, and you’ll be able to celebrate your own accomplishments as well as those of your team. We look for people who want to grow, support, think and produce. This is a part-time Internship for UIUC students to take place either in the Spring 2022 Semester. Key Accountabilities: Your project will connect you to key decision-makers, and you will interact with a multidisciplinary team. You’ll bring your strong technical skills to the table and enrich our data science practice. You will explore, connect, and mine data for its predictive value, and you’ll use advanced machine learning techniques to design and build predictive models. This position is part of the Engineering and Data Sciences team. Specifically, you will be part of the growing Forecasting capability where you will be working to solve a variety of technical challenges, develop prototypes and build out a forecasting platform. 20% – Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience. 10% – Design strategies and propose algorithms to analyze and leverage data from a variety of sources. 70% – Develop and code models by applying algorithms to large structured as well as unstructured data, completing project deliverables Job Location: This position is located at the University of Illinois, Urbana-Champaign in Champaign, IL. Required Qualifications: Must be currently enrolled in a Master’s or PhD program at the University of Illinois, Urbana Champaign in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of May 2022 or later Able to complete a semester-long, part-time internship in the Spring of 2022 (January – May 2022) Proficiency in at least one programming language with libraries for or applications in scientific computing (such as: Python, R), and experience with some scientific computing libraries in that language (such as: numpy, pandas, scikit-learn) Hands-on experience interrogating and analyzing large, multivariate data Experience contributing to projects centered around supervised machine learning or statistical inference, both in development and testing Knowledge of multiple techniques used in variable selection, dimension reduction, and feature engineering (such as: binning, PCA, normalization, power transforms, embedding, SVD, variable importance measures) Knowledge of several supervised learning algorithms (such as: linear regression, GLMs, decision trees, neural networks, ensemble methods, mixed-effects models) Knowledge of several time series models and machine learning techniques for forecasting (such as: ARIMA, ARCH/GARCH, kernel smoothing, ETS, TBATS) Experience testing for seasonality, lag structure, heteroskedasticity, and multicollinearity in multivariate time-series data An eagerness to lean into complex and ambiguous business needs and learn to reduce ambiguity to decide the appropriate tools and approaches to try Curious, self-motivated, driven, and have a passion for problem solving Collaborative team player Excellent written and verbal communication skills Strong presentation skills, with the ability to discuss the implications of highly technical solutions to a non-technical audience in an easy to understand way. Preferred Qualifications: Experience working with time series libraries (such as: statsmodels, darts, sktime) Experience as a developer on projects centered around supervised machine learning or statistical inference, both in development and testing, in a production setting Experience working in a cloud environment (such as: Amazon Web Services, Sagemaker), and knowledge of cloud infrastructure Knowledge of deep learning methods for time series forecasting such as LSTM Experience with deep learning libraries for scientific computing (such as: keras, tensorflow, pytorch, mxnet) Basic knowledge about smart manufacturing Experience with consumer, marketing, or sales data Ability to use independent judgement and discretion Equal Opportunity Employer, including Disability/Vet. Click Here to Apply!