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Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
08.05.2024
Das International Office der TUM School of Management sucht eine studentische Hilfskraft (w/m/d)
ab Mitte Juni 2024 für mind. 6 Wochenstunden sucht das International Office der TUM School of Management eine studentische Hilfskraft (w/m/d) im Bereich incoming exchange
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Kontakt: zuzana.zechovska@tum.de
07.05.2024
Studentische Hilfskraft (m/w/d) für ExploreTUM – Von der Schule zur Universität
ExploreTUM – ein Team der Abteilung „Studienberatung und Studieninformation“ des TUM Center for Study and Teaching – sucht ab Oktober 2024 studentische Hilfskräfte (m/w/d) für 6 bis 8 Stunden/Woche. Wir wünschen uns eine langfristige Zusammenarbeit.
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Kontakt: exploretum@tum.de
06.05.2024
Seeking volunteers for the GfÖ meeting (9-13 september)
We are looking for volunteers to help organising the 53rd annual meeting of the German Ecological Society (https://gfoe-conference.de). This meeting will take place in Freising between the 9th to the 13th of September and is entitled ‘The future of sustainable land use across ecosystems, landscapes and biomes’. Volunteers will work for 15h in total, and gain access to the conference free of charge.
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Kontakt: mar.vergara.martin@tum.de
02.05.2024
Student Research Assistant(s) for Project on AI Ethics Literacy in Educational Technology w/ Focus on Web App Development
The Research Group of the Professorship for Legal Tech is seeking to hire a student research assistant (5-7 hrs / week) to support an interdisciplinary research project on Co-designing a Risk-Assessment Dashboard for AI Ethics Literacy in EdTech conducted in collaboration with Prof. Anna Keune and Prof. Urs Gasser (both TUM School of Social Science and Technology).
Various AI-based technologies are entering the world of education (“AI EdTech”) at an accelerating pace. The introduction of AI EdTech promises to improve learning. However, initial case studies reveal significant ethical and legal risks ranging from bias to privacy threats. Decision-makers struggle to manage these risks systematically and holistically, given the lack of best practice guidance and specific legislation. To fill this gap and foster AI ethics literacy, this project’s principal focus is to develop practical guidance for decision-makers to help them navigate through the process of ethical decision-making in applying AI EdTech. As part of the project, we are developing an online web resource with educational material on the topic, interactive elements illustrating relevant teaching scenarios, and possibly community building functions. You will be responsible for developing and maintaining this web app from its current alpha version. The position will run in semester increments until approximately May 2025.
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Kontakt: matthias.grabmair@tum.de
02.05.2024
Development of Computer Vision module for environment perception and motion planning (Hiwi, Research Internship)
Vision is a core component of today’s autonomous robots systems, enabling the robot to have a perception of the environment and interact with it. The main focus of this work is to create the vision pipeline for an assistive-robotics platform that will enable people with disabilities to perform activities of daily living.
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Kontakt: Dipl.-Ing. Ioannis Xygonakis ioannis.xygonakis@tum.de -- Riddhiman Laha riddhiman.laha@tum.de
02.05.2024
BCI-Gym: Development of Virtual Environments for Brain-Computer Interface users training (Hiwi, Research Internship)
The potential for invasive Brain Computer Interface (iBCI) systems to dramatically improve the livelihoods of those who have lost motor functionality has increased in recent years. This improvement has emerged due in part to advances in the field of deep learning, but the performance of these models varies significantly depending on the quality of the data collection and the design of the experiment. For iBCI participants who have lost the ability to move, the decoding models will be attempting to decode imagined movement, rather than actual movement. To have the best chances at decoding imagined movement, an effective and realistic virtual environment is essential as it increases the chance that the iBCI participant effectively embodies the virtual arm, thereby allowing for synchronization between the collected neural data and the imagined arm position. This position allows the researcher to work alongside experts in neuroscience, machine learning, and robotics in a supportive and resource-rich environment.
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Kontakt: Dr. Alexander Craik - alex.craik@tum.de -- Dipl.-Ing. Ioannis Xygonakis - ioannis.xygonakis@tum.de
26.04.2024
Master Thesis: Deep Learning for Brain Tumor Modeling
We model brain tumor growth for improved radiotherapy planning based on 3D magnetic resonance images (MRI). Partial differential equation (PDE) based models have the potential to personalize glioma therapy. However, calibrating these models to individual patients is computationally expensive using traditional numerical solvers and classical optimization techniques.
First tests with simple tumor models show promising results using differentiable deep learning based solvers for fast, gradient based optimization. Thereby a neural network inputs the specific tumor parameters like growth and diffusion rate and predicts a tumor cell concentration inside the brain [1]. To calibrate this model for a specific patient, the input parameters are optimized utilizing the differentiability of the network with respect to the input.
Your role would be to utilize state-of-the-art network architectures to develop a deep learning-based solver for more realistic brain tumor growth models.
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Kontakt: j.weidner@tum.de
26.04.2024
Bachelor / Master Thesis: What was before the brain tumor?
Recovering the original state of the brain for digital brain tumor twins using MRI.
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Kontakt: Jonas Weidner j.weidner@tum.de
24.04.2024
IT-Werkstudenten (m/w/d) für Ubuntu Linux Deployment Projekt gesucht
ITO School of CIT sucht Werkstudenten (m/w/d) für IT-Automation Projekt (Puppet, Ansible, Ubuntu)
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Kontakt: fedorov@tum.de
22.04.2024
Web developer HiWi position for autonomous driving website
Our website http://commonroad.in.tum.de provides a benchmark for motion planning algorithms of automated vehicles. Users can upload their solution to traffic scenarios, which are evaluated on our server. To further develop
the website, we are looking for experienced and motivated website
developers.
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Kontakt: eivind.meyer@tum.de
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