Doktorand inom maskininlärning för tillförlitlig kvantberäkning
Core
Developing machine learning methods for reliable quantum computing, focusing on quantum noise and error reduction using physics-informed structured ML to improve reliability in cryptography, optimization, and quantum chemistry.
Role type
PhD researcher (Postdoc)
Builds
Scalable and robust ML models for quantum algorithms
Domain
Quantum computing / Machine learning / Physics
Deliverable
research
Required skills
Machine learning, Quantum computing, Physics, Data science
Preferred skills
Physics-informed machine learning, Learning from limited/noisy data
Technologies
N/A
Responsibilities
Develop ML methods for quantum error reduction, Analyze learning processes from noisy measurement data, Collaborate with WASP doctoral school
Seniority
PhD level
Sourced via jobtech · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
