16 Mathematics uni jobs at Forschungszentrum Jülich

Master Thesis or Internship - Graph Partitioning in Power System Studies

, computer science, mathematics or other related subject (you do not need a background in Quantum Computation/Optimization) Good programming skills Useful expertise for the project: Graph Theory/Network

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

Your Job: At IEK-9, we are developing exciting interdisciplinary methods to investigate the key mechanisms in batteries and electrolysis using pulsed NMR. By understanding the spin states that have to be experimentally prepared we are tailoring magnetic pulses to push the limits of NMR in...

Master Thesis - User Behavior in Buildings based on Automated Model Generation

building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a programming

Master Thesis - Flexibility Potentials in Buildings Based on Automated Model Generation

of the Modelica building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a

Staff Scientist / PostDoc – Machine Learning for Scientific Applications

renowned venues Solid mathematical background, distinct analytical and numerical skills Solid programming skills (e.g. Python, C++) Excellent ability to cooperate with other sciences and to work as part of a

Instrument Scientist / Postdoc - Neutron Project DAPHNE4NFDI

of curricula in the fields of physics and chemistry Networking with other initiatives in physics, chemistry, mathematics and materials science Develop scientific software for the data analysis inside the DAPHNE

Instrument Scientist / Postdoc - Neutron Project DAPHNE4NFDI

Networking with other initiatives in physics, chemistry, mathematics and materials science Develop scientific software for the data analysis inside the DAPHNE Program Conduct and disseminate world-class

Postdoc / Research Associate - Machine Learning and Computational Fluid Dynamics

publications and conferences Your Profile: Completed Master‘s degree in Mechanical Engineering, Chemical Engineering, Applied Mathematics, or Computational Science, preferably followed by a PhD or equivalent

Postdoc / Research Associate - Machine Learning and Computational Fluid Dynamics

publishing results in scientific publications and conferences Your Profile: Completed Master‘s degree in Mechanical Engineering, Chemical Engineering, Applied Mathematics, or Computational Science, preferably

Master Thesis / Internship - Deep learning with layer-local objectives

for adapted, layer-local objectives to train deep networks, based on decoder performance Your Profile: Current master studies in biomedical engineering, physics, computer science, mathematics, electrical