Dr. rer. nat. Philipp J. Rösch
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Building 41/200, Room 041/0211
Since October 2025, I serve as representative for the AI professorship at the Institute of Distributed Intelligent Systems (VIS), University of the Bundeswehr Munich. Since December 2023, I have been Research Head for Artificial Intelligence at VIS. From 2020 to 2023, I was a research assistant at the same institute, where I helped to manage the Monacum One GPU cluster.
I received my doctorate (Dr. rer. nat.) in Computer Science (Artificial Intelligence) from the University of the Bundeswehr Munich, where my research focused on Vision-Language Models. I obtained my master's degree (M.Sc.) in Statistics from Ludwig-Maximilians-Universität München in 2016 and my bachelor's degree (B.Sc.) in Economics from the University of Mannheim in 2013. After my Master's, I worked in the private sector for several years.
Machine Learning Interest Group (MLIG)
I organize the Machine Learning Interest Group (MLIG), a university-wide platform for researchers at UniBw M and HSU focusing on machine learning and AI. MLIG hosts a variety of events, including the AI LUNCH, AI TALK, AI STAMMTISCH, AI SALON, and the UniBw AI Retreat (last two in cooperation with GCMC) to strengthen exchange and collaboration in that field.
Please visit the website: https://go.unibw.de/mlig.
If you work at UniBw M or HSU and would like to join the ILIAS group, please join via: https://go.unibw.de/JoinMLIG.
Teaching (German)
Final theses
Please contact me if you are interested in writing a final thesis in the field of AI/ML (I have a list of possible topics).
Herbsttrimester 2025
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Logik (Bachelor)
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Di: 13:00–14:30 Mi: 09:45–11:00 |
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Künstliche Intelligenz I (Bachelor) Machine Learning-Grundlagen (Umgang mit Daten, Metriken, Loss) Neuronale Netzwerke (Lineare Modelle, Mehrschichten-NN, Optimierer) Baumbasierte Modelle (CART, Random Forest) |
Mo: 09:45–11:15 Do: 13:15–14:45 |
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Kognitive Systeme (Master) Embeddings, RNN/LSTM, Transformers, LLM, Chat-LLM, RAG, Agents, Reinforcement Learning |
Mo: 13:15–14:45 Do: 15:00–16:30 |
Frühlingstrimester 2026
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Künstliche Intelligenz II (Bachelor) ML-Training, Sprachmodelle (n-Gramme), Embeddings, Transformer, Chat-LLM, Such-Algorithmen |
Mo: 8:00–11:15 Do: 9:00–12:15 |
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Deep Learning (Master) Convolutional Neural Networks, Vision Transformer, Contrastive Learning, Semantic Segmentation, Objekt-Detektion, Vision Language Models (VLMs) |
Di: 13:15–14:45 Do: 15:00–17:15 |
Sprechstunde/Consultation hours
By appointment.
Research Interests
- Deep Learning, Computer Vision
- Vision-Language, Multimodal Deep Learning
- AI for Defense (write me if you want to chat about this topic)
Publications
See Google Scholar
Datasets
- dacl10k (Toolkit, arXiv, Space, WACV Workshop, Voxel51) – in collaboration with the Institute for Structural Engineering: Multi-label semantic segmentation dataset for 19 classes (13 damages and 6 objects) present on bridges
- InpaintCOCO (arXiv, ALVR@ACL) – in collaboration with Charles University, Prague: Vision-Language dataset for fine-grained understanding and retrieval
GPU cluster "Monacum One"
Please use the (internal) Ilias group to sign up for cluster usage and/or for more details.
Student assistant
We are looking for student assistants (with or without a bachelor's degree) to work approximately 8 hours per week. Required skills include programming skills, a structured approach to work, reliability, and strong analytical thinking.