30 materials science PhD scholarships at Forschungszentrum Jülich

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

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

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong electronics background, with experience in design and simulation of analog, digital

PhD position – Optimization of high-performance anode materials for next generation batterie technologies

thesis. Your Profile: Successfully completed Master`s degree in the field of materials science, engineering, physics or chemistry or a similar field Very good knowledge in the field of solid-state

PhD Position – Transient Spectroscopy of Halide Perovskites for Photovoltaics

Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and related disciplines Very good grades in the masters and bachelors degrees are mandatory Knowledge

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

: Successfully completed Master`s degree in the field of materials science, engineering, physics or chemistry Very good knowledge in the field of solid-state chemistry and materials engineering Experience in

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

. Additionally, enjoyment of teamwork is an important requirement. Masters degree in electrical/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong

PhD position – Optimization of high-performance anode materials for next generation batterie technologies

of materials science, engineering, physics or chemistry or a similar field Very good knowledge in the field of solid-state chemistry and materials engineering Experience in preparation / fabrication

PhD Position - Hot Corrosion of Materials and Coatings in Turbine Engines

engineering, materials science, mechanical engineering or other related fields Strong background in physical chemistry and thermodynamics including the development and understanding of phase diagrams Experience