34 Physics positions at Forschungszentrum Jülich in Phd

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 - Digital process development for membrane-based separation of biomolecules

the complete chain from materials properties to process design and evaluation. More information on the project can be found here: This specific project (DC7) addresses membrane adsorbers, which have small

PhD Position - New UHV Technologies for the Einstein Telescope for Gravitational Waves Detection

Your Job: Gravitational waves from colliding black holes, exploding stars or maybe from dark ages of the universe tell us about the evolution of our cosmos. Following the Nobel Prize in physics

PhD Position – Transient Spectroscopy of Halide Perovskites for Photovoltaics

describing experimental results Correlating material parameters with process conditions of sample preparation Deriving insights for film and device fabrication based on the above described workflow Your

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 - Developing balloon-based hydrogen measurements in the upper troposphere and stratosphere

H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics, chemistry, environmental sciences or a related field with good final grade (German system equivalent

PhD position – Digital Integration and AI for Sustainable Hydrogen Technologies

. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical phenomena. Ensure the integration and effectiveness of AI

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

interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine learning results with simulation methods Working on project-related tasks where you can

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

Engineering or Chemistry, Physics or Informatics Experience with experimental work and characterization techniques Demonstrated experience in programming, particularly in Python, with a robust understanding of

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