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Postdoctoral Researcher: Computational Design of Quantum Sensing Materials

Technische Universität Berlin · Berlin, Germany2w ago

PhD-level Academic / Postdoc roles on Crosslinked list a median of $97k (60 that show pay). This posting does not list pay.

Build ML + first-principles workflows to design quantum sensing host-defect materials

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Worth knowing

Why it is interesting. Five-year postdoc explicitly aimed at preparing you for independent group leader or faculty positions.

Might not be for you. Purely computational — no bench or experimental materials work.

Computational or deskDeep specialist PhD-friendlyPostdoc bridge Works with universitiesRoom for your own research

Adjacent materials rolefirst-principles materials science; spin physics of point defects; excited-state quantum chemistry; host-defect candidates

Seniority
Postdoc
Work
On-site
Type
Postdoc
Degree
PhD
Industry
Semiconductor
Role
Academic / Postdoc
Materials
quantum sensing host materialspoint defects
Techniques
first-principles calculations1 rolemulti-scale simulationmachine learning for materials discoveryexcited-state quantum chemistry

Role details

Position Description Postdoctoral Researcher: Computational Design of Quantum Sensing Materials TU Berlin, Semiconductors and Microelectronic Systems. Five years. Ref. IV-359/26. Applications are reviewed as they arrive. The current deadline of 2 October 2026 will be extended into late October. Today’s quantum sensors were found rather than designed. Most operate well below what their host materials would allow, because the properties that decide sensor performance are expensive to calculate. Therefore, promising candidates are still identified one at a time, and largely by trial. This project sets out to change that.

In it, you would develop a platform that predicts sensor performance directly from atomic structure, covering coherence, relaxation, optical readout contrast and charge-state stability. You would build that workflow in two stages. The first is a high-throughput layer, driven by machine learning and foundation models, that screens large numbers of host-defect candidates. The second is a first-principles pipeline, that computes the spin and excited-state properties governing sensor performance, for candidates that survive screening. We would then use this workflow to identify novel host-defect combinations.

The appointment runs for five years and is intended to prepare you for applications to independent group leader or faculty positions. What it takes: PhD in a relevant field, Deep command of quantum mechanics, Strong, independent expertise in first-principles materials science. Beyond that, we are looking for research experience in at least two of four areas: spin physics of point defects, machine learning for materials discovery, multi-scale simulation methods, and excited-state quantum chemistry. For more details, please visit https://pjadaun.com/open-positions/ . Please send applications to personal@tmp.tu-berlin.de , quoting reference IV-359/26.

Department: Semiconductor Components and Microelectronic Systems (SAM) Application deadline: 2026/09/15 Position type: Postdoctoral

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Common questions

Where is the Postdoctoral Researcher: Computational Design of Quantum Sensing Materials role at Technische Universität Berlin based?

This role is based in Berlin, Germany.

What degree is required for the Postdoctoral Researcher: Computational Design of Quantum Sensing Materials role at Technische Universität Berlin?

This role requires a PhD.

What polymers or materials does this Postdoctoral Researcher: Computational Design of Quantum Sensing Materials role work with?

quantum sensing host materials, point defects.

What techniques or methods are required for this Postdoctoral Researcher: Computational Design of Quantum Sensing Materials role?

first-principles calculations, multi-scale simulation.