TUM.ai Student Initiative
Arcisstraße 21.
80333 Munich
partners@tum-ai.com
If you are interested in partnering with TUM.ai as a sponsor, Makeathon challenge-setter, Industry project partner, Workshop host, etc. please reach out to our "Partners & Sponsors" department.
Do you want to push the boundaries of what is possible using Machine Learning and put your abilities to the test in real AI projects? Are you ready to take on responsibility and leverage your skills acquired in previous university projects or internships? Then our AI projects format is exactly the right opportunity for you to progress in your career!
Over a 12-week timeframe, you will be working in a team of 4x working students with the guarantee of having high impact and freedom when creating solutions for our renowned partners. While earning a total compensation of at least 2700€ (15€ per hour, 15h per week), you can make valuable contacts and connect to potential future employers! Additionally, every team includes one project lead who is in charge of leading the project to success and reporting to higher-management, as well as TUM.ai. This is your opportunity to display your abilities in agile project management in a professional setting.
For the upcoming industry phase, starting in April 2023, we will be collaborating with 10x pre-selected partners, containing prestigious for-profit companies, as well as cutting-edge startups and non-profits.
Apply until February 28th to participate in industry phase 4.0!
The AI projects format enables 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.
text us via industry@tum-ai.com
Implementation of cloud-based web services, containing NLP Machine Learning models - Stefan Rummer, Robin Mittas and Tuan-Quang Vuong built scalable APIs that were deployed to production globally. These enabled Roland Berger to automatically enrich their CRM systems with financial market insights and LinkedIn company data.
4x stellar students supported QuantCo in their mission to revolutionize the way prostate cancer is detected leveraging ML-based virtual biopsy. Richard Gaus, Cedrik Laue and two more participants implemented algorithms for medical image processing, ranging from pre-processing, registration, all the way to the segmentation of MRI data.
"The Institute for Diagnostic and Interventional Radiology performs and evaluates examinations using ultrasound, conventional X-ray technology, CT and MRI. Project participants collaborated with radiologists to learn about the specifics of medical imaging formats (such as DICOM) and the basics of medical knowledge required for the task.
TURTLE empowers seafarers and enables a digital, efficient, and compliant market free from corruption and other illegal and immoral activities. We joined 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!
During this project we contributed to Leevi's mission of providing digital health solutions for infants. Leevi helps parents accurately understand the wellbeing of their babies through individual insights via a wearable bracelet that collects the babies vital and sleep parameters.
During this AI project, our team worked broadly on conversational speech recognition technology for the medical domain. This involved 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.
We created a recommender system for clothing sizes and benchmarked it against Presize’s own technology. This way we actively contributed of Presize's s vision of reducing the amount of paercel-returns.
We developed 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.
We created an NLP-based system that can paraphrase sequences of text while reliably preserving the meaning - making online content creation easier and less-time consuming for smaller companies and non-profits.