73 social-sciences positions at Forschungszentrum Jülich in Germany

Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications

, physics, data science, computer science or a related field Knowledge on the fundamentals of NMR spectroscopy Experience in Python programming Expertise on the fundamentals of electrochemistry and spin

Internship / Master Thesis – Methods for NMR Pulse Analysis and Application in Electrochemical Experiments

electrochemical NMR setups may influence spin state preparation using spectrograms Your Profile: Ongoing master studies in chemistry, physics, data science, computer science or a related field Knowledge on

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

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

Postdoc in AI with HPC - Advancing Earth Observation through Foundation Models

training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national

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

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 – Molecular and bioinformatic-based identification of optimized enzymes for biotechnological applications

genomic data using deep learning methods in order to identify degrading enzymes from different data resources Using Hidden Markov Models and similar tools as well as machine learning for the identification

PhD Position in AI with HPC - Advancing Earth Observation through Foundation Models

, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national and international ML/DL communities, most

Postdoc Position in Plant Modelling - In-silico Root System Optimisation for Water and Nitrogen Acquisition

the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation