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VTT is seeking a Master’s Thesis Worker to explore quantum algorithms for materials science within the ProperTune AI team.
You will implement and benchmark quantum algorithms on logical qubits, compare with physical qubits, and contribute to VTT’s MAP framework and quantum platforms. This six-month, full-time role combines math, physics and programming.
Are you all about science and technology? Would you like to work in a meaningful role with real responsibility and excellent learning opportunities? Do you want to work with superb colleagues who are experts in their field to drive a sustainable future and tackle the greatest challenges of our time? VTT might be just the place for you.
VTT is one of the leading applied research organisations in Europe. What unites us are curiosity, a passion for learning, and a purpose: to solve the biggest challenges of our time and turn them into sustainable growth and well-being. Our cross-disciplinary community of over 2000 brilliant minds from 55+ different nationalities focuses on creating impact through science-based innovation. Get to know us further by exploring VTT's tech & infra.
We are now looking for Master's Thesis Worker to join our ProperTune AI team. Join us - and let's make an impact together!
As a thesis worker, you will investigate how the first generations of logical qubits can be utilised in quantum-computing applications relevant to materials science. You will implement and benchmark materials-science quantum algorithms on logical-qubit architectures, emphasising the transition from noisy intermediate-scale quantum (NISQ) to logical intermediate-scale quantum (LISQ) computing, and compare the performance and accuracy of algorithms executed with physical and logical qubits. The project aims to develop quantum algorithms that can be validated on VTT's current and future generations of quantum computing platforms.
Read more about VTT's quantum-computing platforms: https://www.vttresearch.com/en/news-and-ideas/iqm-quantum-computers-supply-finland-world-leading-superconducting-300-qubit-quantum
You will work to develop VTT ProperTune®, which is a unique, Integrated Computational Materials Engineering (ICME) based methodology to solve complex material problems and to invent totally new materials with unprecedented properties. VTT ProperTune® combined with tailored experimental capabilities and powered by data and AI methodology, form together Materials Acceleration Platform (MAP) concept utilized at VTT. Combining high-quality data with advanced data analytics and the use of AI is the booster for research productivity and new research services for VTT's customers. In addition to applying AI methods for materials research, we work on High Performance Computing utilizing fastest supercomputer in Europe, the LUMI, and VTT's own quantum computers. Our objective is to accelerate new material development with data driven and computationally fast solutions and that way to support the development of new materials needed in green transition and enabling development of new material applications.
Read more about our VTT ProperTune® concept: https://www.vttresearch.com/en/ourservices/computational-material-design-vtt-propertune
For further information, please contact Research Team Leader Napat Vajragupta, napat.vajragupta@vtt.fi, +358 50 462 6958.
We look forward to hearing from you!
Salary: 2750 - 2900 €/Monthly
Depending on the study credits
Employment type: Full-time, Fixed-term for 6 months (Master's thesis)
VTT is a forerunner in research, development and innovation, and one of Europe's leading research organisations. We develop cutting-edge technologies and transform them into growth together with our customers and partners. Our solutions address the greatest challenges of our time while creating sustainable growth, jobs and wellbeing.
With more than 80 years of experience, we accelerate the journey from innovation to impact. By thinking beyond the obvious, we drive growth, renewal and resilience.
VTT - beyond the obvious