qubitsok.com
Cut Noise. Work Quantum.
Europe, Netherlands, Eindhoven
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Posted 144 days ago
🎓 Eindhoven University of Technology
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EUR 4K - 5K per month
Role Type
Role Focus
Seniority
Employer Type
Visa / Relocation Details
This Postdoc position at Eindhoven University of Technology focuses on applying quantum computing to energy systems. The role involves developing quantum optimization techniques to manage complex power system operations under uncertainty, especially with increasing renewable energy use. The project aims to create hybrid quantum-classical algorithms to solve large-scale optimization problems for the energy transition.
Key Responsibilities
Develop techniques for gate-based quantum optimization algorithms to solve realistic stochastic programming problems used in power system operations under uncertainty.
Integrate classical high-performance computing with quantum optimization algorithms to address large-scale, mixed-integer, and constrained problem instances.
Research and implement quantum algorithms specifically for constrained optimization challenges in energy systems.
Explore mathematical decomposition-based hybrid quantum-classical optimization algorithms and ensure their convergence guarantees.
Contribute to the Intelligent Energy Systems program within the Electrical Energy Systems group.
Required Skills
A PhD in Electrical Engineering, Applied Physics, Operations Research, Computer Science, or a related discipline, with a focus on quantum algorithms.
Ability to conduct high-quality academic research in (hybrid) quantum computing, demonstrated through a relevant PhD thesis or publications.
Proficiency in Python.
Proficiency in quantum software development kits (e.g., Qiskit).
Excellent command of the English language.
Good communication skills.
Nice-to-have Skills
Knowledge of electrical power systems
Technology Tags
The core focus of the job is 'Quantum Optimization' for power systems.
The job description explicitly mentions developing and focusing on 'quantum algorithms' for optimization.
A key research direction is 'Mathematical decomposition-based hybrid quantum-classical optimization algorithms'.
The project addresses 'current hardware limitations' and aims for 'hardware-efficient encoding,' indicating a focus on algorithms suitable for near-term quantum devices.
Proficiency in 'quantum software development kits (e.g., Qiskit)' is a required skill for the role.
The project involves solving problems 'in conjunction with classical high-performance computing'.
The research includes 'hardware-efficient encoding of constrained optimization problems,' which necessitates quantum circuit design.