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and control system for real-time control and operation at autonomy level 3 as defined by the International Maritime Organization (IMO 1). The control system to be developed will almost completely avoid
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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services Teaching / training abroad (Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT Staying
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Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based
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graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly
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of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins. Thereby, relevant mechanisms are identified, which allow optimizing
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since