Master Thesis in Physics or Materials Science - Jülich

Fabricate memristors using e-beam lithography · Sputter sub-stoichiometry oxides thin films to complete lateral memristor · Characterize devices electrically and morphologically using conductive atomic force microscopy (C-AFM) · Qualifications: qualification to enroll for Maste ...

We are looking to recruit a Master Thesis in Physics or Materials Science - Memristor device fabrication and operando AFM characterization. · Oxide electronics are a major opportunity for future information technologies and a sustainable energy economy. In the group for `Growth a ...

Create confined electronic systems based on state-of-the-art thin film technologies and subsequent delamination of atomically defined oxides. Master the transfer process for heteroepitaxial systems. Develop strategies to compensate internal stress and mechanical deformation. · ...

Create a novel catalyst design based on state-of-the-art thin film technologies. · Create novel catalyst designs based on state-of-the-art thin film technologies. · Demonstrate the transfer process for heteroepitaxial systems. · Develop materials design strategies to improve cata ...

We are offering an exciting Master Thesis in Physics Chemistry or Materials Science - Atomically-tailored water splitting catalysts for hydrogen technologies. · Create atomically defined catalyst layers based on state-of-the-art thin film technologies. · Demonstrate tailored acti ...

Createatomicallydefinedcatalystlayers,basedonstate-of-the-artthinfilmetechnologies.Performactiveresearchonthematerialssynthesis,charaterizationandelectrochemicalbenchmarking. ...

Synthesize characterize and control lattice distortions in atomically defined oxide thin films based on state-of-the-art thin film technologies and characterization methodology. · ...

Oxide electronics are a major opportunity for future information technologies and a sustainable energy economy. · Your Job:Synthesize characterize and control lattice distortions in atomically defined oxide thin films based on state-of-the-art thin film technologies and character ...

Your Job · At Peter Grünberg Institute - Electronic Materials (PGI-7), we have extensive expertise in the design, fabrication and characterization of area-dependent memristive devices. · The project aims to bridge memristive technology and integrated photonic circuits by developi ...

The Institute for Future Fuels researches processes that enable the production of fuels and chemical base materials using renewable energy sources and resources. · ...

As a member of the Helmholtz Association with some 7, · 600 employees we conduct interdisciplinary research into a digitalized society, · a climate-friendly energy system and a sustainable economy.We focus on · the natural life and engineering sciences in the fields of informatio ...

We are offering a PhD position in data science at Forschungszentrum Jülich. You will have the opportunity to apply your data science skills to real-world challenges and work on cutting-edge projects. · ...

The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials research. · You will strengthen the data science and machine learning activities of IAS-9 by dev ...

+ Develop automated workflows for descriptor based microstructure reconstruction + Identify material parameters for crystal plasticity simulations from experimental data through inverse analysis + Establish structure–property linkages based on numerical simulations and to transfo ...

This PhD position involves connecting high-throughput cell microscopy with machine learning and physics-based simulation to develop modern data-driven decision-making methods for steering cells within microenvironments. The project treats these experiments as adaptive bioagent-en ...

You want to make an impact by connecting high-throughput cell microscopy with machine learning for 3D image reconstruction? This is the position for you. · ...

We are offering a PhD Position in Counterfactual Reasoning: Novel Machine Learning Methods for Material Discovery (HDS-LEE graduate school). Do you want · Review existing literature, collect data from relevant sources, and build a joint knowledge and data repository. · Design eff ...

Your Job: Machine Learning (ML) and artificial intelligence (AI) based on neural networks are currently reshaping all aspects of society. · Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process, · Implementing and testing v ...

+We are seeking a PhD candidate to evaluate the economic viability of geothermal plants that produce power, heat, and critical materials by comparing them to other energy sources and extraction methods, while considering future demand, price trends, and incorporating data on reso ...

The growing demand for energy transformation to counter the effects of climate change and reduce dependence on imported energy sources and raw materials is driving the European energy system towards a dynamic, supply- and demand-driven approach, · We welcome applications from peo ...