100 materials-science-"Ecole-Polytechnique" positions at Forschungszentrum Jülich in Germany

Research associate in the field Ontologies for Material Science

position within a Research Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Scientific / postdoctoral posts Job description: Your Job: In our

Research associate in the field Ontologies for Material Science

Your Job: In our team you will collaboratively work on: Collaborative development of semantic artifacts in materials science, in a scale- and method-bridging approach for crystallographic defects

PhD Position - Replacing lost material flows within the energy transition

substitution options within the energy system Implementing the phased-out material flows and their substitution options in our technology database and in our energy system model ETHOS.FINE Deriving demand

Staff Scientist / Postdoc – Neutron Spectroscopy for Energy Materials

Your Profile: Required qualifications and skills: Masters degree and PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good

Staff Scientist / Postdoc – Neutron Spectroscopy for Energy Materials

skills: Masters degree and PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization

Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries

manufacturing process of future battery systems - from materials synthesis to characterization. Your Profile: Successfully completed scientific university degree (Master) in the field of chemistry, materials

Postdoc – Simulation-based development of cathode materials for Na-ion batteries

batteries and also includes a research visit to France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with

Postdoc – Simulation-based development of cathode materials for Na-ion batteries

France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with excellent final grades Excellent knowledge

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

Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning

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

information from experiment data Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine