Student Employment & Internships

Labs Incubator Intern, 2023-2024 Academic Year – Capital One

Application Link https://www.capitalonecareers.com/job/mclean/labs-incubator-intern-2023-2024-academic-year/31238/48684410624 Application Close Date June 2, 2023 Job Description Key Role Details This is a paid internship that is part time, requiring 15-20 hours per week. Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s hybrid working model, for the duration of the program. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. Basic Qualifications Current student of and will be actively enrolled in the same course of study of the most recent degree through full duration of the program at the University of Illinois, Urbana Champaign Currently pursuing a Bachelors or higher with an expectation that the most recent degree will be obtained by August 2024 or earlier At least 1 year of experience with Python Preferred Qualifications Currently earning a degree in Computer Science, Computer Engineering or a related field of study At least 1 year of experience with machine learning and various subfields (deep learning, Graph ML, NLP, explainability, etc.) At least 1 year of experience with relational databases At least 1 year of experience with large scale data analytics At least 1 year of experience with AWS Labs Incubator Intern – 2023-2024 Academic Year (September 2023 – April 2024) Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small businesses and commercial clients. A Fortune 500 company, Capital One has one of the most widely recognized brands in America and is one of the nation’s top 10 largest banks based on deposits. The Capital One Tech Incubator focuses on machine learning research. A variety of software engineering groups within Capital One provide students with opportunities to contribute to innovative projects. Projects mostly focus on building leading edge ML platforms and products, where the work involves a variety of modern software engineering practices like large scale data engineering and analytics, libraries and tooling, MLOps, CI/CD, and open source, among others. Capital One is seeking applicants for the 2023-2024 Academic Year (September 2023 – April 2024). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com

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Python Computer Vision Developer (Student Co-op Program) – AbbVie

At AbbVie, Development Biological Sciences (DBS) is responsible for all aspects of Toxicology, Pathology, and Comparative Medicine. We partner with Discovery teams to select and investigate new targets and lead molecules, and work with project teams to develop and execute non-clinical safety development plans that support projects from pre-IND through registration and post-marketing phases. The Department of Comparative Medicine has an opening for a summer internship to develop computer vision based deep learning models in partnership with external collaborators to study animal behavior. Key responsibilities: The application of deep learning (DL)/machine learning (ML) in computer vision is a rapidly expanding field of bioinformatics. This position will be focused on developing reproducible deep learning models in pre-clinical animal studies with the objective to bring smart tools that can aid in the characterization of animal behavior to improve efficiency and reproducibility in pre-clinical research. Develop DL models for activity recognition, key point detection, etc., from videos. Apply these algorithms to train and test large datasets and determine the accuracy and reproducibility of the results. Analyze and identify issues/concerns with data and performance tuning of DL models. Collaborate with internal stake holders and external partners for endpoint quantification, quality assessment and model deployments. Passion for solving technical problems and applying new technologies to further scientific goals. Qualifications:  Authorized to work in the US on a permanent basis without requiring sponsorship Graduate-level student (masters or doctoral) Background in artificial intelligence, computer science, biomedical engineering or related field. Demonstrated skills in computer vision, machine learning/deep learning. Proficient in one or more languages and platforms: Python, C++, JavaScript, R. Knowledge in using AI platforms, technologies, and techniques preferred (e.g., Tensorflow/Keras, PyTorch, OpenCV, etc.,). Proven experience with video/image processing, and image analysis is desired. Demonstrated ability to learn, understand and excel new technologies. Domain experience in image/video analysis is desired as it is crucial to understand the science of applying AI in computer vision models. Cumulative minimum GPA of 3.0/4.0, or equivalent Additional Info: This summer internship position will be based at Lake County, Illinois. Based upon performance and project funding, there is a possibility this role may extend beyond the summer. Apply via HandShake at: https://illinois.joinhandshake.com/emp/jobs/7862620 Who We Are: AbbVie is a global, research-based biopharmaceutical company formed in 2013. Our mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. Our ~48,000 employees are scientists, researchers, communicators, manufacturing specialists and regulatory experts located around the globe. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Information Research Academic Partnerships embeds students within AbbVie businesses to collaborate on projects that help advance our science. During the regular fall and spring semesters, this program is designed for students to work 12-15 hours/week in parallel with their school schedule. During the summer, students are expected to work 35-40 hours/week.

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Synchrony Emerging Technology Credit Modeling Intern -Spring 2023

The Synchrony Emerging Technology Center located at UIUC’s Research Park focuses on advancing our internal capabilities in artificial intelligence, data science, and other emerging technology domains to create long-term value for our customers. The interns in the program will work closely with our Innovation Station and SMEs to deliver projects for our business stakeholders. Projects can range across multiple disciplines such as basic market and technology research, big data analytics, proof-of-concept creation, data visualization, and software development. When you’re here, you’re part of the team and we’ll expect you to help us raise the bar. Credit Model Development internship: This assignment offers an array of opportunities to gain valuable hands-on experience. You’ll have opportunities across different areas of our team, giving you unique perspectives on how Credit Model Development fits into the broader business landscape – for example: • Apply mathematical and statistical learning techniques to derive the error propagation, locating the macro issues to a more granular level. • Teamwork based data pipeline: data wrangling and feature engineering. • Apply strong communication skills to document and present the developed complex methodologies and testing results in concise verbal and other visual way. The internship will be spent working side by side with credit experts where you will apply your theoretical knowledge to complete challenging projects. Exposure to these real-life technical projects will accelerate your career and develop your skills in a cutting-edge global environment. DESIRED CHARACTERISTICS: Pursuing a Bachelor’s or Master’s Degree at University of Illinois at Urbana- Champaign  The ability to understand the constraints of a problem and identify the tradeoffs Hands-on experience in large, complex data processing and modeling from previous academic projects or professional project.  Proficiency and confidence in using Python, SQL, and Tableau with no or minimal help Understanding Spark and distributed data management systems is highly preferred. ADDITIONAL ELIGIBILITY QUALIFICATIONS: You must be 18 years or older Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Reasonable Accommodation Notice:  Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time. To apply, send a resume and cover letter to etc@syf.com

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Rivian Intern – System Architecture Validation and Automation, Electrical Hardware intern

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. This position is for an immediate need at University of Illinois’ Research Park, working as a Rivian employee on Rivian projects. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2023 through Fall 2025. Are you ready to join Rivian’s Electrical Hardware team? for someone to lead development of the software infrastructure related to our system level validation test suite. The systems involved include the infotainment and vehicle access systems, including the sentry cameras system, connectivity, telematics, entertainment, and more. Responsibilities Scripting in python for build test automation infrastructure C coding in the embedded firmware to enable test hooks Working with testing data pipeline, including logging, spreadsheeting, data processing and presentation, etc. Remotely connecting to our bench, labcar, and test vehicles to develop, debug, and execute their software Qualifications Enrolled in a Bachelors, Master’s or PhD program from the University of Illinois Urbana Champaign in Electrical Engineering or Computer Science Required experience with H/W embedded systems Familiarity with embedded F/W development such as tool chains, consoles etc. is required. Coding experience with Matlab or Python (or similar programming language, required. Must be located in Champaign, IL Must be available for 10-20 hours per week in the Fall and Spring, and 40 hours in the Summer Must be available for weekly task status update meetings, and monthly project status update calls. #LI-SAI7 Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.  Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.  Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.   Please note that we are currently not accepting applications from third party application services.

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Machine Learning, Electrical Hardware Intern – Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. This position is for an immediate need at University of Illinois’ Research Park, working as a Rivian employee on Rivian projects. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2023 through Fall 2025. Are you ready to join Rivian’s Electrical Hardware team as an intern? We are seeking an intern to support our team with deep learning models for improving performance metrics on image recognition tasks using advanced machine learning techniques like model compression and neural architecture search. You will be working towards creating prototype models to advance the state-of-the-art production networks deployed on Rivian automotive vehicles.  Responsibilities Challenge assumptions and be an advocate for best practices     Discover your potential with cross-functional partnerships and be an asset to your leadership team.     Ability to navigate ambiguity in a fast-paced environment.     Capable of working as a member of a team across several cross functional disciplines, including with external stakeholders.     Exceptional verbal and written communication skills.  Qualifications Enrolled in a post-graduate program in Computer Science with a focus in Machine Learning and Computer Vision Good understanding of algorithms for computer vision applications, deep learning, natural language processing, artificial intelligence, or related fields. Strong mathematical background and capability to analyze results, required. Excellent PyTorch, and C++ programming skills, required Good understanding of software fundamentals, preferred Working knowledge of AWS cloud infrastructure, preferred Experience with various HW platforms used for machine learning, preferred. Must be located in Champaign, IL Must be available for 20 hours per week in the Fall and Spring, and 40 hours in the Summer Must be available for weekly task status update meetings, and monthly project status update calls. #LI-SAI7 Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.  Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.  Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.   Please note that we are currently not accepting applications from third party application services.

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Ensaras Full Stack Developer Intern

Full Stack Developer Intern Company Overview Do you want to use your web programming skills to help solve one of the most pressing problems of our time? At Ensaras, Inc., we are using the latest advanced analytics and artificial intelligence tools to help treat and preserve our world’s most precious resource: Water. Our leadership team includes experts in wastewater treatment, process engineering, data science, and artificial intelligence. As a full-stack web developer you will help develop and deploy a cloud-based platform that enables wastewater facilities to optimize their treatment operations using data-driven solutions. Job Description We are looking for a talented, passionate, and hardworking full stack web developer, who thrives as a self-starter in a start-up setting. We are a small team, and you will be responsible for developing and deploying a cloud-based web platform at a wastewater facility. You will report directly to the company President. We are looking for someone with previous experience in both front- and back-end web programming, and cloud-based infrastructure. The type of services we currently use include AWS EC2, Influxdb, and Grafana. Your responsibilities will include: • Develop and test web architecture using previous deployments as an example. • Ensure responsiveness of applications. • Troubleshoot applications and correct bugs, as needed. • Produce well documented and reusable code. Requirements • Time commitment of 40 hours per week for minimum 10 weeks during the summer and a minimum of 10 hours per week during the academic year. • Currently pursuing M.S. or B.S. in computer science or related fields. • Proficiency in both back-end and front-end architecture. • Proficiency in python and javascript web programming languages. • Experience using cloud-based services a plus (e.g., AWS EC2, Influxdb, Grafana). • Strong organizational and project management skills. • Familiarity with database technology (PostgreSQL, Influxdb). • Excellent verbal communication skills. • Detail oriented. • Remote working is acceptable

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Ensaras Machine Learning Intern

Ensaras Machine Learning Intern Ensaras Company Overview Do you want to use your machine learning skills to help solve one of the most pressing problems of our time? At Ensaras, Inc., we are using the latest machine learning, advanced analytics and artificial intelligence tools to help treat and preserve our world’s most precious resource: Water. Our leadership team includes experts in wastewater treatment, process engineering, data science, machine learning, and artificial intelligence. As a machine learning intern you will develop and test algorithms using data from a wastewater facility in order to assist operators in performing their daily tasks and to optimize the plant’s treatment processes using data-driven insights. Job Description We are looking for a talented, passionate, and hardworking machine learning intern, who thrives as a self-starter in a start-up setting. We are a small team, and you will be responsible for developing and testing machine learning and AI algorithms under the guidance of company leadership. You will report directly to the company President. We are looking for someone with experience with python, scikitlearn, deep learning, and reinforcement learning. Experience with integration of machine learning and AI algorithms with cloud-based services such as AWS EC2, Influxdb, and Grafana is a plus. Your responsibilities will include: • Wrangle data. • Develop and test machine learning and artificial intelligence algorithms using wastewater treatment plant data. • Integrate the key data-driven insights into the existing data pipeline and dashboard. • Produce well-documented and reusable code. Requirements • Time commitment of 40 hours per week for minimum 10 weeks during the summer and a minimum of 10 hours per week during the academic year. • Currently pursuing M.S. or B.S. in computer science, electrical and computer engineering, data science or related fields. • Proficiency in python and javascript web programming languages. • Experience using cloud-based services (e.g., AWS EC2, Influxdb, Grafana). • Experience with developing machine learning / deep learning algorithms and using machine learning packages. • Strong organizational and project management skills. • Excellent verbal communication skills. • Detail oriented. • Remote working is acceptable. To apply, email your resume to info@ensaras.com 

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Engineering Leadership Development Program – Brunswick

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. Come join the largest and most innovative technology company in the marine industry! Engineering is the foundation of Brunswick’s ACES strategy shaping the future of marine by bringing to market fully integrated, compatible and technical solutions. Our engineering leadership development program (ELDP) is an exciting opportunity to fast-track Brunswick’s next generation of engineering leaders. This is a rotational program for highly talented engineering graduates who are looking to accelerate their career. This program develops world-class, versatile engineering talent within our marine focused operating model. You’ll have the opportunity to work on impactful projects and expand your business acumen through real world experiences and hands on training. As an ELDP you will gain a broad range of experience in the duration of the program. You will work in at least two divisions providing you with invaluable enterprise perspective and will be supported in relocating to get experience with different operations across our portfolio of brands. Though rotations occur within our engineering organization, you will also get cross functional exposure increasing your business acumen, leadership skills and professional network. In addition to hands on work to build your resume, you’ll also receive high visibility, coaching and professional development. Following your completion of the program, you’ll have the opportunity to advance into a long-term Engineer role at one of our key sites. Minimum Qualifications: Must be a full-time undergraduate student graduating Fall ’22 or Spring ’23 with a focus on Electrical Engineering, Software Engineering, or related field. Previous internship or co-op experience in a manufacturing organization Assignments could involve: Project Management Partnering with 3rd parties Presentations to senior leaders Solve critical technical challenges Component design or test Software development Product Integration Likely rotations include: Engine and Subsystem Controls development High and low voltage electrical projects Product Test Field Integration Electrical/Mechanical product development Non-Core roles Manufacturing Supplier Quality Supply Chain If you are a creative, team player and problem solver we’d love to talk to you. Program Details: Duration: 24 months – Starting June 2023 Minimum number of Rotations: 2 Duration of each rotation: Flexible, depending on role and project Number of Divisional locations per candidate: Minimum of 2 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 and Workday Privacy Policies Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: hrsharedservices@brunswick.com or 866-278-6942. All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers. If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com. #Brunswick Corporation

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Graphic Design Intern – EnterpriseWorks/Research Park – Summer 2023

Research Park Graphic Design Internship Application – Summer 2023 EnterpriseWorks & University of Illinois Research Park Graphic Design Intern  Join our team for a chance to collaborate with diverse individuals in a team-oriented environment and apply your graphic design skills to a wide variety of projects! We’re looking for a talented student studying graphic design who loves working in both print and digital formats. On our team, you will have the opportunity to work on meaningful, high-impact projects.  Who we are Research Park is a technology hub for corporate operations focusing on innovative, cutting-edge research and development. EnterpriseWorks is an award-winning incubator at the Research Park that focuses on science and research-based start-up companies commercializing technology from the University of Illinois. We have a multifaceted team of professionals and interns dedicated to helping our startups and corporations thrive in the Research Park. Our previous interns have gone on to work at companies including but not limited to: Google, Facebook, IBM, PepsiCo, Goldman Sachs, Denodo, Allstate, Yelp, Solstice, and Surface 51.  What You’ll Do As a Graphic Design Intern, you will have the opportunity to work on a variety of projects for a diverse group of clients. You will collaborate and network with high-level executives and entrepreneurs alike as well as other interns from a diverse spectrum of disciplines. Your designs can make a lasting impact across the Research Park and beyond. You will also create graphics for any events related to Research Park, such as professional development workshops, awards ceremonies, and cultural events. Other past projects include:  Pop up banners  Wall graphics  Print and digital ads  Video graphics Large-scale exterior/interior building signage Digital, print, and social media graphics for events Conference branding, includes booklets, stickers, etc. Company logo creation  *This position will begin on May 22, 2023.  Eligibility Requirements: You must meet these requirements to be eligible for this internship.  Graduation date of December 2023 or later   Must be a current undergraduate student majoring in Graphic Design or a similar Field Must be a full-time enrolled student at the University of Illinois at Urbana-Champaign at the time of employment Must be available to work in-person 30 hours/week from May 22-August 5, 2023 Qualifications Proficiency in Adobe Creative Suite (Illustrator, InDesign, Photoshop) Ability to work in Microsoft PowerPoint presentation software Experience in many different types of design, such as print and digital Ability to quickly solve new design problems Strong layout and typography skills Ability to work in fast-paced environments and balance multiple projects Ability to work on short deadlines Excellent communication and organizational skills Ability to clearly and consistently communicate with management on project status     Nice to Have: Experience with campus printing services  WordPress experience    For your application, please prepare: Resume Cover letter explaining how your experience makes you a good fit for this position URL to your online portfolio (if you do not have an online portfolio, please send a sample of your favorite designs) Applications will be accepted on a rolling basis; we are looking to fill this position as soon as possible.    Please email your application materials to ewick@illinois.edu with subject line “Graphic Design Internship” Compensation:   Hourly wage will be $15/hour and will be paid by the University of Illinois.  Pending successful performance reviews, the internship can continue through multiple semesters and there is an opportunity to be promoted into a leadership role.  

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Materials and Manufacturing Intern (Position 3) – Illinois Applied Research Institute

The Materials and Manufacturing group at the Illinois Applied Research Institute will conduct additive manufacturing laser-based experiments to obtain process-related data. The intern will perform digital processing tasks on camera images to extract temperature derivatives, e.g., the thermal field’s cooling rate, thermal gradient, and solidification rate, around the melt pool area. Job Requirements: Experience with MATLAB and toolboxes. Experience with Microsoft Excel. Compose data reports for the team. Compose two- and three-dimensional graphs. Provide accurate observations of digital data processing tasks. Participate in discussion meetings. Other additional duties as assigned. Applicant Requirements: Senior level enrolled in an engineering program. Mechanical or Materials engineering students preferred. Critical thinking will be required to identify and troubleshoot problems as they arise. Computer programming experience is a plus. High attention to detail. Strong organizational skills. Strong communication and presentation skills. Ability to work independently and follow work instructions. ARI improves the performance of material systems through the development, design, processing and characterization of polymers, nanocomposites, and metals. We work to leverage the convergence of the physical world (materials, processes, machines) and the digital world (design, data) to accelerate the development and qualification of manufacturing and materials solutions. Please send your resume and brief research interests to Dr. Eliezer Colina Morles at ecolinam@illinois.edu.

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