Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU

Post-Doctoral position in Experimental Quantum Computing with Superconducting Circuits

Stellenbeschreibung:

We are seeking highly motivated PostDoc researchers to join a rapidly growing research team, led by Christopher Eichler, which conducts state‑of‑the‑art experimental research in quantum computing, quantum information science, and quantum optics with superconducting circuits. As a successful candidate, you will get the unique opportunity to take part in setting up a state‑of‑the‑art quantum‑computing laboratory and to perform collaborative research contributing to the grand goal of building universal quantum computers. Based on your interests and skills you will engage with a set of specific research topics chosen from the following areas:

Skills

  • Design and fabrication of next‑generation multi‑qubit quantum processors enabling hardware‑efficient quantum error correction
  • Exploration of novel circuit QED components enabling fast and high‑fidelity gates and measurements
  • Development, fabrication, and characterization of 3D‑integrated multi‑chip modules
  • Research on elements for quantum communication and modular quantum computing
  • Improvements to qubit coherence enabled by new materials, processes, and chip designs
  • Systems integration and real‑time system control enabled by machine learning
  • Tune‑up, operation, and algorithmic benchmarking of quantum computing hardware

Your research will benefit from a stimulating academic environment offered by FAU and will be embedded in a rapidly evolving quantum ecosystem in Bavaria. You will have opportunities to interact with partners and collaborators in academia and industry as part of national and state‑level initiatives such as the Munich Quantum Valley.

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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    Erlangen

    Einsatzort:

    Erlangen-Nürnberg, Deutschland
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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