There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before in our 175-year history. Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW.
Primary Location: United States (US) - Illinois (US-IL) - Champaign
Function: Product Engineering
Title: JDTIC PT Student Mathematics/Algorithms - Champaign, IL - 60805
Your Responsibilities
- As a John Deere Part Time Student - Applied Mathematics/Algorithms you will primarily focus on using applied mathematical models and algorithms in sensor signal processing, image processing, vehicle control as well as other areas in robotic systems for one of Deere's products.
- You will need to be able to define and reduce to practice, system, applied mathematics, and algorithm problems to meet the needs of specific robotics systems.
- You will work in a fun, friendly, and fast paced environment consisting of team members with various backgrounds and engineering disciples to analyze and find conclusions around robotic sensing technologies.
- Projects are operated in the Agile environment and one will need to be able to handle multiple projects at any given time.
- You will also be required to present your findings in onsite or offsite meetings and translate your findings/data into understandable documents.
What It Takes
- Strong skills in applied mathematics and algorithms.
- Proficient in statistical analysis.
- Technical ability to develop software code in Python, Java or C/C++
- Technical ability to manage software configurations in GitHub
- Ability to translate objectives and theory to practical design using mathematical tools.
- Must be registered as a full-time student at a local university
- Pursuing a PhD or MS in Mathematics, Engineering Physics, or equivalent algorithm development and applied mathematics experience.
- Must be able to commute to the work location on a daily basis
- Graduation date of May 2021- requirement of the program is you are available to work a minimum of 12 months prior to graduation.
- Cumulative GPA of 2.8 or above
- 16 - 20 hours/week during the academic year
- 35 - 40 hours/week during the summer semester
A Strong Candidate Will Also Have
- Experience using Robotic Operations System (ROS).
- Technical ability to design& implement distributed software systems and analyze video processing technology and develop proposed video algorithms preferred but not required.
- Sensor and/or simultaneous localization and mapping (SLAM) experience preferred but not required.
- Proficient experience utilizing various sensor hardware and software.
- Proficient in Matlab, Simulink and Mathmatica.
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. We offer comprehensive relocation and reward packages to help you get started on your new career path. Click here to find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
CLICK HERE to apply online.