Postdoctoral Researcher, Quantum Algorithms for Life Science

1000scholars; Espoo; Hybrid; EUR 43,000 - 51,000; Full time

Job summary

Aalto University - School of Electrical Engineering in Espoo invites applications for a Postdoctoral Researcher position in Quantum Algorithms and Optimization for Life Science Applications. The role focuses on developing quantum-classical hybrid algorithms and advancing research within the MQS group.

You will publish world-class results, supervise PhD students, and contribute to teaching activities while exploring near-term and longer-term quantum approaches across bioinformatics and related

Qualifications

• Hold a PhD with excellent academic records in theoretical physics, mathematics, computer science, or another relevant field, awarded no more than two years before the application deadline.
• Solid background in quantum computing and quantum algorithms.
• Programming skills (e.g., Python) and experience with numerical simulations or quantum software frameworks (e.g., Qiskit and PennyLane).
• Demonstrated ability to conduct independent and collaborative research on advanced topics.
• Working proficiency in English. (Finnish language is not required.)

Responsibilities

• Conduct research in quantum algorithms and quantum information.
• Develop hybrid quantum-classical algorithms for domain-specific, computationally demanding problems.
• Publish world-class results in high-impact journals.
• Supervise PhD students and contribute to teaching activities.

Skills

Quantum computing

Quantum algorithms

Python programming

Numerical simulations

Independent research

English language

Education

PhD in theoretical physics / math / CS

Tools

Qiskit

PennyLane

Job description

Aalto University - School of Electrical Engineering in Espoo invites applications for a Postdoctoral Researcher position in Quantum Algorithms and Optimization for Life Science Applications. The role focuses on developing quantum-classical hybrid algorithms and advancing research within the MQS group.

You will publish world-class results, supervise PhD students, and contribute to teaching activities while exploring near-term and longer-term quantum approaches across bioinformatics and related