33 atomic-physics positions at Helmholtz 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 – Transient Spectroscopy of Halide Perovskites for Photovoltaics

networks using the numerical simulations Calculating the likelihood of material parameters correctly describing experimental results Correlating material parameters with process conditions of sample

PhD position – Digital Integration and AI for Sustainable Hydrogen Technologies

the standardization and harmonization of data across platforms. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical

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 – 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 – Theory and modelling of electrochemical transport and reaction phenomena in nanoporous materials

in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge

PhD Position - Foundation model for hydrological downscaling

to educational events, such as university lectures, JSC courses and hackathons. Your Profile: Excellent Master in Computer Science, Mathematics, or Physical Science, Very good knowledge and proven skills with

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

the overall design Your Profile: Master’s degree in the field of natural sciences, engineering, or a related field of study Knowledge of energy process engineering is an advantage Huge interest in energy