Do you want to push the boundaries of what is possible using AI and put your abilities to the test in real industry projects? Are you ready to take on responsibility and leverage your skills acquired in previous university projects or internships? Then the Industry projects of TUM.ai are exactly the right opportunity for you to progress in your AI career!
Over a timeframe of around 10x weeks, you will be working as a fully compensated working student with the guarantee of having high impact and freedom when creating solutions for our renowned partners. While earning a total compensation 2250€ (15€ per hour, 15h per week), you can make valuable contacts and connect to potential future employers!
For our upcoming industry phase, starting in September 2022, we are collaborating with 6x pre-selected partners who have prepared projects exclusively for you!
Application deadline: 15th of August
An Industry Phase is a project phase developed by students for students who want to apply their theoretical and technical AI knowledge in real-world scenarios. Structurally, a typical phase consists of approx 6x industry projects — 10-week programs with teams of 3 to 4 participants taking on the partners’ challenges. Each team will have a one Team Lead who has previous experience in project management to organize your flow and guide you to success. During these weeks we organize Community Evenings to get together and enjoy some quality time, Expert Lectures designed to deepen your knowledge in the application field and AI, Milestone Meetings to share the progress of the teams and the Final Pitch Day to show the final achievements As a bonus, companies provide the compensation and possibility for further recruitment! 👀
TUM.ai Industry Projects allow companies to rapidly and affordably develop AI solutions while enabling ambitious students to bridge the gap between theory and practice. We grant you access to Munich's greatest pool of pre-selected talent in the field of AI and Data Analytics, while guaranteeing for high-quality solutions, without engaging in any long-term liabilities.
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