6 machine-learning scholarships at Helmholtz in PhD

PhD Position – New insights from existing PEM water electrolysis data: Optimizing data analysis using Machine Learning

machine learning-based software applications for materials science Develop code and utilize machine learning to support the automation of characterization and fabrication processes Ensure the integration

PhD-position - Data Mining, Inference, Prediction and Simulation in Semiconductor material

Your Job: You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists

PhD position – Digital Integration and AI for Sustainable Hydrogen Technologies

to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s

PhD Position - Foundation model for hydrological downscaling

for an enthusiastic researcher who is quick to grasp new concepts and ideas and can solve complex problems with high-quality software solutions. You will work with machine learning, HPC, and domain science experts and

PhD Position in AI with HPC - Advancing Earth Observation through Foundation Models

Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote

PhD Position – Algorithm-Circuit Codesign for Neuromorphic Computing with Memristors

setting electrical measurements and analysis Interest and background in neuromorphic computation or machine learning is a plus Coursework and experience in machine learning and spiking neural networks is