11 phd-learning PhD positions at Helmholtz

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 – Digital Integration and AI for Sustainable Hydrogen Technologies

Your Job: We are seeking a PhD candidate to join an ambitious European initiative aimed at revolutionizing the design and integration of energy materials for clean hydrogen energy technologies

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 – Negative emissions through cost-optimal Direct Air Capture and Storage plant design

Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant

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 – Design and Control Theory of NV-Based Quantum Simulators

overarching seminars including certificate The skills that you will acquire during your doctoral research are in high demand both in academia and in high-tech companies: at present, there is significant

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

PhD Position - Digital process development for membrane-based separation of biomolecules

simulation software. Acquire knowledge about novel membrane materials and perform experiments required for model calibration. Establish multi-scale model family and extend CADET software for simulating

PhD position – Quantum Control Theory for scalable semiconductor Quantum Computing architectures

(international) conferences and project meetings Participation in overarching seminars including certificate The skills that you will acquire during your Ph.D. are in high demand both in academia and in high-tech