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22.03.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
Master thesis in Hydrology
Are you knowleadgeable in GIS and landscape mapping? We offer the chance to develop your skills in an interdisciplinary project mapping the hydrology of the Biodiversity Exploratories of Germany, as part of the project WaterWeb.
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Kontakt: alejandra.parreno@tum.de
22.03.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
Masters Thesis in Soil Science
Are you interested in soil properties and how soil supports biodiversity? Then this thesis is for you! We look for a motivated student to join our projects and be part of a soil campaign across different sites in Germany. As part of the project you will be able to use existing data and produce new one to link questions on how land use change affects soils and the biodiversity that inhabits them. The project can be tailored for bachelor, master thesis and mandatory internships.
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Kontakt: alejandra.parreno@tum.de
22.03.2026
Student assistants, internships, student research projects:
Studentische Hilfskräfte, HIWI - Driver for fieldwork
Do you like driving and doing hard work outdoors? For our fieldwork in blue-green interactions between land use and biodiversity we are looking for a HIWI with a drivers license and motivation to travel through Germany. The fieldwork is 3 weeks in April-May and 3 weeks in September-October, with fixed dates.
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Kontakt: alejandra.parreno@tum.de
21.03.2026
Professuren:
Professor in » Carbon Composites «
The Technical University of Munich (TUM) invites applications for the position of Professor in » Carbon Composites « W3 Associate/Full Professor; to begin in winter semester 2026/27.
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Kontakt: faculty-recruitment@ed.tum.de
21.03.2026
Professuren:
Professorin oder Professor (w/m/d) für » Carbon Composites «
An der Technischen Universität München (TUM) ist die Position als Professorin oder Professor (w/m/d) für » Carbon Composites « in Besoldungsgruppe W3 Associate/Full Professor zum Wintersemester 2026/2027 zu besetzen.
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Kontakt: faculty-recruitment@ed.tum.de
20.03.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
Master thesis: Adjoint Methods for Nonlinear Dynamic Problems: Expanded vs. Non-Expanded Formulation
Master thesis: Adjoint Methods for Nonlinear Dynamic Problems: Expanded vs. Non-Expanded Formulation
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Kontakt: tahar.arjoune@tum.de
20.03.2026
Student assistants, internships, student research projects:
Studentische Hilfskraft im Bereich Patente & Lizenzen
Das Hochschulreferat für Forschungsförderung und Technologietransfer (TUM ForTe) sucht zum nächstmöglichen Zeitpunkt zur Unterstützung des Bereichs Patente und Lizenzen motivierte und engagierte studentische Hilfskräfte (m/w/d). 10-20 Std./Woche bei freier Zeiteinteilung.
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Kontakt: Agne.Makris@tum.de
20.03.2026
Internal job board at TU Munich:
Assistenz für Sekretariat (m/w/d) zur Aufstockung 8 Std./Wo für die Professur Photogrammetrie und Fernerkundung
Wir suchen zum nächstmöglichen Zeitpunkt eine Teamassistenz für 8 Std./Wo, die unser Sekretariat für die Professur von Photogrammetrie und Fernerkundung am TUM Innenstadt-Campus in München unterstützt.
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Kontakt: susanne.oxe@tum.de
20.03.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
Master Thesis - Surgical Scene Understanding using VLM
Modern computer-assisted surgery relies increasingly on robust visual understanding of the operating room. While most existing approaches for surgical scene understanding and phase recognition are based on narrow-field-of-view endoscopic or monocular camera data, real-world operating rooms often provide significantly richer visual contexts.
This thesis aims to investigate surgical scene understanding using multiple images for surgical phase recognition, and higher-level scene representations such as surgical scene graphs. The goal is to analyze how VLM/multi-view VLMs can use the visual context can improve robustness, generalization, and interpretability.
The project will commence with a comprehensive review of the state-of-the-art in surgical activity recognition, surgical phase classification, and scene graph–based modeling. Based on this review, existing methods will be categorized and experimentally evaluated, with adaptations made where necessary to support panoramic or wide-field-of-view imagery. Particular emphasis will be placed on testing and validating approaches on recordings beyond classic benchmark datasets, including less constrained or previously unseen surgical recordings.
The student is encouraged to bring in their own ideas and creativity. The outlined approach serves as a guiding framework rather than a strict implementation plan.
Your own creativity is welcome to solve the problem; the upper proposal merely presents an idea.
Please read the application details: https://hex-lab.io/vacancies/01_students/
Key research areas include:
Reviewing the state-of-the-art in surgical activity / phase classification techniques and surgical scene graph techniques
Categorize and experiment with existing approaches
Test on recordings aside from classic datasets
Recommended background (or motivation in learning):
Basic knowledge of computer vision
Experience with deep learning model training and application
Some experience with C++ and Python
Medical Context:
- https://github.com/egeozsoy/ORacle
Multi-View VLMs:
- InternVL https://github.com/OpenGVLab/InternVL
- LLaVA-NeXT as well: https://arxiv.org/abs/2407.07895; https://github.com/LLaVA-VL/LLaVA-NeXT
Fine-tuning VLMs for 3D vision tasks:
- https://github.com/openvla/openvla
- https://roboflamingo.github.io/
- https://physx-anything.github.io/
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Kontakt: hannah.schieber@tum.de
19.03.2026
Non-academic staff:
Administrative & Project Support (m/w/d; Freelance / Honorarbasis)
TikTalks is an interdisciplinary research project examining how TikTok’s algorithmic recommendation system shapes personalized feeds and user experiences. We are seeking a freelance team member to support the project’s administrative and organizational core. The role focuses on structured execution, precision, and reliable coordination across project management, event organization, and administrative processes.
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Kontakt: sobieska@responsibletechhub.com
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