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Senior Scientist, AI-driven biomaterials design

VTT · Espoo

Hybridsenior💰 5,150–6,250 EURTech · ResearchPublicerad 17.09.2026 klo 03.00

Kompetenser

Machine Learningaigenerative modelsdiffusion modelsprotein designmolecular dynamicstransformer-based modelsmasked diffusionhierarchical generationconditional generationmulti-objective generationmotif-aware infillingconstrained sequence designactive learningdbtl pipelinesdata pipelinesphysics-based simulationscoarse-grained modelling

Jobbeskrivning

Are you interested in the latest AI and ML and looking for a new job opportunity in the field? Do you want to build an excellent science career and work at the interface of the academy and industry? 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 Senior Scientist focused on AI-driven biomaterials design In this position you get to do top notch research supporting advanced materials development and production. You will be developing next-generation generative AI models, with a particular focus on diffusion-based approaches for protein and biomaterial design. Our team thrives on collaboration, working seamlessly with many other teams across VTT and beyond to achieve shared goals. 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... Your responsibilities as Senior Scientist: Contributing to the creation of novel bio-based materials with tailored functional properties, aligned with VTT’s strategic focus Lead the development of diffusion-based generative models for protein design, including transformer-based and masked diffusion approaches Advance hierarchical, conditional, and multi-objective generation methods for biomolecular systems Design and implement motif-aware infilling and constrained sequence design workflows Integrate ML models into DBTL pipelines, including active learning and iterative model improvement Connect generative models with data pipelines and physics-based simulations (e.g. MD, coarse-grained modelling) Collaborate with multidisciplinary teams across Europe and contribute to bio-based materials innovation Mentor and support research scientists and junior researchers, guiding technical work and professional development Who we are looking for: Masters or doctoral degree in Machine Learning, Computational Biology, Physics, or a related field Familiarity with integrating ML with simulation approaches (e.g. molecular dynamics) Experience in applying machine learning to biotechnology, protein modelling or biomolecular systems Good communication skills and ability to build high value research collaboration in the area You have experience on project proposal drafting or some other relevant experience related to different funding instruments such as Horizon Europe and Business Finland. You are proficient in English language. It's a benefit if you also have Expertise in generative models (especially diffusion models), transformer architectures, deep learning or active learning / optimisation workflows Experience or interest in protein language models and multi-objective or conditional generative modelling As a person, we hope that you are: A proactive team player who possesses a self-driven mindset Excited to organise, draft and coordinate project proposals, socially skilled & eager to grow into a project manager direction Ready to jump into different project tasks when needed, proposing and delivering solutions. With VTT, you’ll enjoy: Natural sciences with an impact. VTT works on the cutting-edge of natural sciences, and we've invested in building state-of-the-art research facilities for natural sciences, such as the Bioruukki pilot infrastructure for bio- and circular economy. Our research agenda is dedicated to solving systemic and technological c
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