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Nadire Nayir

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PhD and Postdoctoral Researcher in AI-Driven Platform for 2D Materials Synthesis and Discovery Paul Drude Institute for Solid State Electronics in Germany

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Newly funded NSF–DFG DMREF project. The post mentions access to dedicated GPU-based HPC resources and a collaborative research environment; no stipend, salary, or tuition details are provided.

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Country

Germany

University

Paul Drude Institute for Solid State Electronics

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Keywords

Computer Science
Chemistry
Materials Science
Molecular Dynamics
Molecular Beam Epitaxy
Density Functional Theory
High Performance Computing
Dft
2d Material
Physics
Computational Materials Science
ML

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About this position

Paul Drude Institute for Solid State Electronics (PDI) in Berlin is recruiting for two research positions in a newly funded NSF–DFG DMREF project: a PhD student and a Postdoctoral Researcher.

The project, “AI-Driven Platform for 2D Materials Synthesis and Discovery,” sits at the intersection of computational materials science, physics, materials science, computer science, and experimental 2D materials research. The work combines generative AI, density functional theory (DFT), molecular dynamics, and materials synthesis, with strong collaboration across AI/ML, multiscale modeling, and experiment.

Highlights include access to dedicated GPU-based HPC resources, close interaction with an interdisciplinary team, and collaboration with experimental researchers working on 2D materials synthesis and characterization. The post also emphasizes PDI’s internationally diverse environment and its state-of-the-art facilities for molecular beam epitaxy (MBE) growth in Berlin.

Applicants with a background in Physics and/or Materials Science are especially encouraged to reach out. The project also involves international collaboration with the 2D Crystal Consortium – NSF Materials Innovation Platform at Penn State University.

To apply, use the separate job links for the PhD and postdoc openings, or contact the listed researchers for more information.

Funding details

Newly funded NSF–DFG DMREF project. The post mentions access to dedicated GPU-based HPC resources and a collaborative research environment; no stipend, salary, or tuition details are provided.

What's required

Candidates should have a background in Physics and/or Materials Science. The project is suited to researchers interested in combining AI/ML with computational materials science and experimental research, including generative AI, density functional theory (DFT), molecular dynamics, and materials synthesis.

How to apply

Use the provided job links for the PhD and postdoctoral openings. If interested, contact Nadire Nayir, Eui-Cheol Shin, or Cem Sanga for more information and to discuss fit.

More information can be found here

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