Quantum Computing Postdoctoral researcher QUASAR FVG project; FSC - GRFVG, CUP: D9

Position: Quantum Computing Postdoctoral researcher for QUASAR FVG project (FSC - 44620/25 GRFVG, CUP: D9[...]
Organisation/Company ELETTRA - SINCROTRONE TRIESTE S.C.P.A. Department HR Research Field Computer science » Cybernetics Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Final date to receive applications 31 Mar 2026 - 23:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 4 May 2026 Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Reference Number IA/26/8 Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The QUASAR FVG project, funded by the Friuli Venezia Giulia Region following the FSC - 44620/25 GRFVG call for proposals (September 30, 2025), CUP: D93C, aims to develop innovative solutions to address the problem of scalability of quantum computing and simulation platforms based on neutral atoms, helping to consolidate the role of Friuli Venezia Giulia as a national and international reference point in quantum technology research.

The integrated approach—which combines experimental development, numerical simulations, and advanced algorithm design—will create a coherent framework between hardware, theoretical models, and application protocols, facilitating the validation and benchmarking of quantum protocols. Thanks to the collaboration between universities, research centers, and centers of excellence already present in the area, the project will strengthen the attractiveness of the Friuli-Venezia Giulia region as a competitive scientific and technological ecosystem open to future industrial synergies.

With the involvement of six institutions with cross-cutting expertise (University of Trieste, SISSA, University of Udine, CNR-INO, CNR-IOM, Elettra Sincrotrone Trieste), QUASAR-FVG aims to strengthen the region's national and international positioning in the field of quantum computing, contributing to scientific and technological growth in the area at a key moment for the development of quantum technologies.
The Scientific and Quantum Computing (SciQC - quantum.elettra.eu) team at Elettra Sincrotrone Trieste is a multidisciplinary R&D unit within the IT Group focused on advancing computational methods for synchrotron, free-electron laser (FEL), and related scientific challenges. SciQC combines expertise in mathematics, numerical algorithms, high-performance computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real experimental data and workflows.

The team drives innovation in algorithm design, GPU-accelerated computing, and quantum-ready methodologies applicable to complex scientific problems across the experimental portfolio of Elettra Sincrotrone Trieste.
The successful candidate will contribute to the design of algorithms, their performance evaluation, and cross-validation on experimental hardware and high-performance classical simulations, working at the interface between quantum theory, numerical methods, and large-scale scientific data analysis. The position is not limited to quantum computing and includes a substantial component of traditional scientific computing, as required by the everyday operation of the facility.
A Ph.D. in Physics, Computing, Engineering or related field is required together with the following technical skills and knowledge:

Computational methods for data analysis
Quantum Computing theory (e.g., QC algorithms)
Practical Quantum Computing (e.g., Qiskit)
Software development in Linux

The following skills would be considered an asset:

Proven experience with QC SDKs like Qiskit, Penny Lane, or Cirq

Experience with scientific computing in research institutions

Experience with QC algorithms (ie. QAOA, VQE, Grover’s)
Published peer-reviewed research

Good time management skills and ability to prioritize are expected, together with the ability to interact with staff and facility users at all levels and to work as part of a multi-disciplinary team.
Good oral and written communication skills in English are essential.
Languages ENGLISH…