As a Penn State undergraduate student majoring in information sciences and technology, Joel Seidel was looking for a way to leverage his coding skills to earn a paycheck.
Future-proof your education
The Nittany AI Advance program is looking for motivated and knowledgeable undergraduate Penn State students seeking experience in artificial intelligence, cloud computing, and machine learning. We hire students with a background in software development or data science to join our AI Advance team, working on collaborative teams during the spring and fall semesters. Program participants have the opportunity to work on AI for Good projects that address real-world issues in education, the environment, health, and humanitarianism, advancing their skills to a level that demands the attention of future employers.
Stand out amongst your peers
The Nittany AI Advance program is designed to instill you with a deep understanding of artificial intelligence as well as the skills to successfully apply AI solutions to solve problems. The program builds on your classroom learning, helping you prepare for a rewarding summer internship and, ultimately, meaningful job placement.
Fast-track your career growth
Your experience as an AI Advance participant can put you on a path to your first AI–focused job and rapid career advancement by teaching you to:
- create an AI proof of concept that proves the feasibility of using AI/ML to solve a problem
- interact directly with clients to produce creative solutions using real data
- work collaboratively as a team in an agile project management environment
Now Hiring for 2021
If you’re interested in leveraging experiential learning in AI to prepare for a career in software development or data science, you’re strongly encouraged to apply to the Nittany AI Advance program.
This project afforded me the opportunity to experience a real-world consulting project, apply the skills I learned in the classroom, and hit the ground running as an intern. The experience got me in the door at Accenture and turned into a full-time job offer, which I likely would not have been considered for without being a part of the AI for Good project.