37 science-"University-of-Sunderland" scholarships at Helmholtz

PhD Position – Electrochemical Engineering of Next Generation Water Electrolysis cells

Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find

PhD Position – Plant Systems Biology

Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting

PhD Position - Process Development in the Department Chemical Hydrogen Storage

and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our

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

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

addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC

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 - 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

for self-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meeting

PhD Position – Transient Spectroscopy of Halide Perovskites for Photovoltaics

preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and