Doctoral Researcher in quantum computing and algorithms for Life Science applications
Core
Conduct research in quantum algorithms and quantum information to solve domain-specific problems in bioinformatics, breeding, biomaterial synthesis, and cellulose-processing enzyme design.
Role type
Doctoral researcher (PhD candidate)
Builds
Hybrid quantum-classical algorithms for near-term (NISQ-era) deployment and medium-to-long-term quantum algorithms
Domain
Quantum computing, computational biology, genomics, materials science
Deliverable
production ML models
Required skills
Theoretical physics, mathematics, computer science, quantum computing, quantum algorithms, quantum information, hybrid quantum-classical algorithm design, NISQ-era deployment, model evaluation (expressivity, training stability, scalability), benchmarking against classical baselines
Preferred skills
Teaching experience, familiarity with quantum walk algorithms, variational quantum algorithms, adiabatic quantum computation, quantum machine learning
Technologies
VTT's Q50 machine, Aalto's Q20 system, commercially available quantum platforms
Responsibilities
Develop hybrid quantum-classical algorithms, evaluate models for expressivity and scalability, publish high-impact research, take doctoral coursework, participate in group teaching activities
Seniority
Junior, early-career researcher
