Work on real-world Data challenges!

Do you want to put your AI skills to the test in real industry projects with high impact and at the same time make valuable contacts, get to know potential employers and earn some extra money? Then the Industry projects of are exactly the right opportunity for you! Want to know more about the projects? For our upcoming industry phase, starting on April 04, we are collaborating with four partners who have prepared exciting challenges: 

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Industry Project - TUM MRI Radiology - Klinikum Rechts der Isar

"The Institute for Diagnostic and Interventional Radiology performs and evaluates examinations using ultrasound, conventional X-ray technology, CT and MRI. Participants will collaborate and will be mentored by radiologists to learn about the specifics of medical imaging formats (such as DICOM) and the basics of medical knowledge required for the task. Moreover, participants will have the opportunity to participate in seminars and meetings by the Institutes of Radiology and AI in Medicine."

Your Tasks:  Data selection and curation, ML Model training & deployment on the radiology platform, testing under real-world settings,  work with platform devs to incorporate radiologist feedback into model retraining
Required Qualifications:  Experience in ML, Front-end development, Radiology/medical imaging analysis, Machine learning engineering and model deployment (Docker, GRPC)

Industry Project - Leevi Health - Baby Health Monitoring

Leevi is igniting a new era of digital health for babies. Leevi helps parents accurately understand the wellbeing of their babies through individualized insights via the Leevi bracelet, which is designed for infants aged 0 to 3 years. This wearable continuously measures all relevant wellbeing and sleep parameters and converts these data points into valuable information and actionable insights in an an app. 

Your Tasks:  Data collection and preparation, use case analysis and ideation for different application possibilities Implementation of data architecture, development and implementation of generic AI architecture
Required Qualifications:  Bachelor or Master student with advanced skills in one of the following: Data Engineering, Data Science, ML Model development, additionally: Signal analysis, edge AI/microcontroller

Industry Project - TURTLE - Maritime Matchmaking

The bloodstream of the global economy, ocean shipping, is run by nearly 2 million seafarers globally. However, the labour market for seafarers is fragmented, in-transparent and struggles with corruption. TURTLE wants to empower the seafarer and enable a digital, efficient, and compliant market free from corruption and other illegal and immoral activities. Join a team of industry professionals building a global online job marketplace that connects ship owners and seafarers directly, work in a fast-growing startup and with strong social impact!

Your Tasks: Research and design of data collection, storage and processing optimized for ML
Implementation of data architecture, development and implementation of generic AI architecture
Required Qualifications:  Master student (or bachelor in final semesters) with advanced skills in one of the following: Data Science, Data Engineering, Programming 

Industry Project - - Medical Speech Recognition

During this industry project, you will work broadly on conversational speech recognition technology for the medical domain. This will involve the assembly of a German speech dataset, training (and/or fine-tuning) large modern speech models on our compute infrastructure and evaluating their effectiveness relative to current cloud offerings. Depending on the progress, speech model fine-tuning for structured data extraction is also considered!

Your Tasks:  Data selection and curation, ML Model training & deployment
Required Qualifications:  Experience in the field of NLP and speech recognition algorithms

What is an Industry Phase?

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 4 industry projects — 10-week programs with teams of 3 to 4 participants taking on the partners’ challenges. Each team will have a dedicated Mentor and Expert 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! 👀

Past Industry Projects

Industry Project - 

Help protect the environment by significantly reducing clothing returns!
 We aim to create a recommender system for clothing sizes and benchmark it against Presize’s own technology. 

Industry Project - Heimkapital

We develop solutions to make an impact on the financial independence of homeowners by implementing an AI that can predict real estate prices based on population data.

Industry Project - DynaGroup & Veritas PR

We create an NLP system that can paraphrase sequences of text while reliably preserving the meaning, making online content creation easier for smaller companies and non-profits.

Additional opportunities at

Industry Project Questions?

If you have any additional questions regarding the industry project phase don't hesitate to reach out to our industry department teamleads Viktoria Harmel and David Podolskyi!

Become a Member?

We are looking for you! After this semester's makeathon we will again recruit for outstanding people in the field of Business, Entrepreneurship, Natural Sciences and of course AI/Data/Software Engineering. Joining the Makeathon or Industry projects will of course boost your chances to be invited for an interview! Makeathon April 2022

Join us for a weekend of developing cutting-edge AI-based applications and work on solutions for emerging challenges in AI/Data and Business! Together with a team of 4 you can compete against students from around the globe and prove yourself in front of your expert jury!