Postdoctoral Researcher, Machine Learning & Cheminformatics
About this role
Would you like to explore how quantum computing could accelerate innovation in the bioeconomy? Do you want to work at the interface of academia and industry and contribute to turning science into impact? 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. In recent years, we have created ground-breaking innovations such as the world's fastest and most accurate radiation detector, a cancer-sniffing sensor device for smartphones, and a headphone set entirely made of microbial materials. Get to know us further by exploring VTT's tech & infra .
We are now looking for a Postdoctoral Researcher, Machine Learning & Cheminformatics, to join our Rise to Challenge project Q-GEN: Quantum computing applications for future genomes and biomaterials.
In this two-year postdoctoral position, you will develop a data-driven screening workflow for biomaterial design. The workflow will combine molecular representations, machine learning, physics-based supercomputer simulations, and experimental data to predict how chemical modifications influence and structure the properties of wood-based biopolymers. The resulting methods will be used as classical baselines for comparison with emerging approaches in quantum computing. You will work as part of an interdisciplinary team of experts from chemistry, mathematics and physics, collaborating closely with a dedicated group of quantum physicists who will design and run the quantum algorithms.
Our Bioinspired materials team develops novel biomass-based materials and applications and seeks new ways to valorise wood-based materials beyond the traditional pulp and paper