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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (AI) offers a great
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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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Publications in relevant research areas Open-source software contributions Experience with: Foundation Models Large Language Models LLM Fine-Tuning Agentic AI Systems Diffusion Models Scientific Simulation
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
models). Your tasks Development of analytical theories of biomolecular phase transitions, focusing on liquid-liquid phase separation. Development of numerical simulation tools, e.g., for process modeling
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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numerical simulations and machine learning in order to better understand and characterize active matter systems. A possible direction is to use physics-informed machine learning techniques to connect
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 18 days ago
. The PhD project combines direct numerical simulations of turbulent flows, nonlinear dynamics, and modern approaches to flow control. Thermal convection and related turbulent flow systems will serve as key