16 high-performance-quantum-computing-"https:"-"https:" Postdoctoral positions at Empa
Sort by
Refine Your Search
-
. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
-
multidisciplinary team of physicists and chemists working at the forefront of quantum materials and surface science. Utilizing a combination of experimental and computational approaches, we develop and characterize
-
. Empa is a research institution of the ETH Domain. The Laboratory for Mechanics of Materials and Nanostructures in Thun explores the possibility of high throughput materials development. In the context
-
interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
-
, presentations and scientific publications Your profile You have a PhD degree (or equivalent) in Acoustics or Electrical/Mechanical Engineering or Computer Science. Experience with scientific computing in Matlab
-
. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop
-
work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
-
. Empa is a research institution of the ETH Domain. The goal of our Concrete & Asphalt Laboratory is to make cementitious and bituminous materials more sustainable and high-performing through both
-
in X-ray imaging and microscopy techniques is a big plus. Experienced in project management and writing scientific publications. Fluent in English, German would be a plus, enjoying a multicultural
-
to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood