+++    Call for Fully Funded PhD Positions 2026: The online application portal is open from 15 October to 14 November 2025    +++
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A top spot for AI and ML research in Europe

We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.

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Who we are

MCML is one of six national AI Competence Centers. It is funded on a permanent basis by the German and Bavarian government's AI strategy, and brings together the leading ML researchers from LMU, TUM and associated institutions.

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Our Vision

Unite leading researchers in Germany, to strengthen international, national and regional competence in the field of ML and AI. We foster talent and make corresponding potential accessible to users from science, industry and society.

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Latest Calls

Link to Call for Fully Funded PhD Positions 2026

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Call for Fully Funded PhD Positions 2026

The Online Application Portal Is Open From 15 October to 14 November 2025

Latest News

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Link to Industry Pitch Talks Recap

 

06.11.2025

Industry Pitch Talks Recap

With the Stadtwerke München (SWM)

On 4 November 2025, Stadtwerke München (SWM) welcomed representatives from the Munich Center for Machine Learning (MCML) for a focused session of Industry Pitchtalks. The event highlighted the growing synergy between academic research and real-world applications of artificial intelligence in energy, …

Link to AI, Ethics and Society Workshop

 

06.11.2025

AI, Ethics and Society Workshop

Short Recap

On 29 October 2025, the workshop “AI, Ethics and Society” brought together researchers and practitioners from the Junges Kolleg | BAdW, Munich Center for Machine Learning (MCML) and bidt – Graduate Center für Postdocs to explore how artificial-intelligence algorithms shape individual and collective …

Link to Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung

©Gorodenkoff-stock.adobe.com

03.11.2025

Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung

MCML Research About Wearable Robotics

LMU and Harvard researchers outline a new approach to smarter and safer wearable technology. Their latest method not only optimizes complex decisions—like how an exosuit should assist a worker during heavy lifting—but also explains why those decisions are made. By making AI’s reasoning transparent …

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Next Events

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10

Nov

Link to KI Symposium 2025

 

Symposium  •  10.11.2025  •  Große Aula, LMU Munich

6:15 pm - 9:00 pm

KI Symposium 2025

The KI Symposium 2025 will take place on November 10, 2025 at the Große Aula at LMU in Munich. This annual event, organized by the AI Hub LMU, brings together researchers, policymakers, and industry experts to explore current developments and future …

12

Nov


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13

Nov

Link to SuperMUC-NG AI Hackathon on Intel Data Center GPUs

 

Workshop  •  12.11.2025 - 13.11.2025  •  LRZ Garching, Seminarraum 2

10:00 am - 5:00 pm

SuperMUC-NG AI Hackathon on Intel Data Center GPUs

First in a Series of Upcoming Hackathons

The first event in a series of upcoming hackathons focuses on user projects in the areas of machine learning and deep learning. It is designed to help users get started with the SuperMUC-NG Phase 2 partition with Intel Ponte Vecchio accelerators. …

12

Nov

Link to Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

 

Colloquium  •  12.11.2025  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

Iván Diaz and Herb Sussman, New York University

Colloquium of the Department of Statistics with Iván Diaz and Herb Sussman from the New York University about Causal Inference Based on Machine Learning for Complex Longitudinal Exposures.

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2018-12-10 - Last modified: 2025-11-06