Development of disruptive approaches in the field of operations research for solving Cutting and Packing problems, namely hybrid solutions integrating classical and quantum computing.
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Work description
This post-doctoral fellowship will take place within the scope of the project "Quantum computing optimization for container loading problems: a new frontier in logistics optimization" (2024.15096.PEX), funded by the Foundation for Science and Technology (FCT), with the work plan structured in 3 main phases, namely: (1) Characterisation and mathematical modelling of Cutting and Packing Problems based on linear/non-linear programming; (2) Investigation of formulations compatible with quantum computing, namely through QUBO-type representations and the study of different hybridisation strategies, aiming to maximise solution quality and computational efficiency; and (3) carrying out computational tests on benchmark instances, as well as performance analysis in terms of solution quality, computational efficiency and scalability. The development of the work will be accompanied by a strengthening of scientific competencies in the areas of operational research and combinatorial optimisation, as well as a deepening of knowledge in quantum computing applied to optimisation and hybrid quantum-classical methodologies. Participation in scientific conferences and the publication of results in international peer-reviewed journals are also anticipated, contributing to the consolidation of the fellow's scientific career and to the dissemination of the project's results.
Academic Qualifications
PhD in Industrial Engineering, Management, Mathematics, Physics, or related relevant fields, with a focus on the application of Operations Research methodologies, models, and algorithms, and on Quantum Computing.
Minimum profile required
- Completed PhD in the indicated fields;- Strong knowledge of Operations Research;- Experience with Cutting and Packing Problems or combinatorial problems of a similar nature;- Experience with linear programming, integer programming, and nonlinear programming models;- Advanced programming skills (Python or equivalent);- Fluent in Portuguese and English.
Preference factors
- Knowledge of quantum computing applied to optimization, including QUBO (Quadratic Unconstrained Binary Optimization) formulations; - Relevant scientific publications in the field.
Application Period
Since 14 May 2026 to 27 May 2026
[Open soon]
Centre
Industrial & Systems Engineering and Management