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Universidade de Vigo invites applications for a temporary researcher position focused on a quantum optical neural network for combinatorial optimization. Responsibilities include research, experiments, and dissemination of findings through papers and conferences.
Required: university education, English level at least B2, training in quantum computing, neural networks, and ML, plus programming skills in Python, Fortran, LaTeX and Mathematica. The role is full‑time and based in Vigo, Spain.
Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2) Positions Master Positions Application Deadline 18 Nov 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 188605 Is the Job related to staff position within a Research Infrastructure? No
The specific responsibilities and tasks will include, among others:
Carrying out research, experimentation, and scientific dissemination activities within the framework of a project focused on the construction of a quantum optical neural network for combinatorial optimization.
Conducting literature searches and analyzing scientific publications and patents.
Performing experimental work, producing scientific results and disseminating them through publications, international conferences, workshops, and seminars.
Item 01: University Education (punctuation: 30)
Item 02: English Level required (at least B2) (punctuation: 10)
Item 03: Specific training in quantum computing (punctuation: 20)
Item 04: Specific training in neural networks and machine learning (punctuation: 20)
Item 05: Programming skills in Python, Fortran , Latex and Mathematica (punctuation: 20)
2250 € (including the apportionments of extra payments)
Number of offers available 1 Company/Institute SCHOOL OF TELECOMMUNICATION ENGINEERING - VIGO Country Spain Geofield