24 Design positions at Forschungszentrum Jülich in germany in Germany

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

-design of neuromorphic circuits and systems with novel algorithms in different fields of applications e.g. solving hard optimization problems, associative computing, or computing with dynamical systems. As

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

Your Job: There are multiple openings for new PhD students interested in the co-design of neuromorphic circuits and systems with novel algorithms in different fields of applications e.g. solving

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

-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant designs in terms of their techno-economic characteristics an optimization model is to be

Postdoc or researcher – Foundation model for climate

, you will be an active part of our ESDE research group and the HClimRep consortium. You will make substantial contributions to the design and development of the HClimRep foundation model for climate

PostDoc - Coarse grained modeling of synthetic enzyme cascades

in a multi-enzyme cascade is thus required. To overcome this limitation, we will design locally immobilized multi-enzyme constructs with superior catalytic activity and stability in E. coli compared

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

of existing data mining and machine learning models Design and implementation of machine learning algorithm for extracting information from experiment data Evaluation and development of specialized and/or

Staff Scientist / Postdoc – Neutron Spectroscopy for Energy Materials

), or institutes at RWTH Aachen University Participation in experiments as well as design and construction of instruments and/or sample environments with practical work at neutron sources Supervision of PhD, MSc and

Postdoc / Research Associate - Machine Learning and Computational Fluid Dynamics

the design and optimization processes for SOC stacks and systems. Neural Network Integration: To achieve this balance, we plan to integrate various neural network methods into our existing framework

Postdoc / Research Associate - Machine Learning and Computational Fluid Dynamics

will significantly expedite the design and optimization processes for SOC stacks and systems. Neural Network Integration: To achieve this balance, we plan to integrate various neural network methods

Staff Scientist / Postdoc – Neutron Spectroscopy for Energy Materials

Participation in experiments as well as design and construction of instruments and/or sample environments with practical work at neutron sources Supervision of PhD, MSc and BSc students Presentation of research