Senior Scientist, AI Material Science

Organisation/Company VTT Research Field Computer science » Other Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Final date to receive applications 15 Mar 2026 - 21:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

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 researchorganisationsin 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 mindsfocuseson creating impact through science-based innovation. In recent years, we have created ground-breaking innovations such as the world's fastest and mostaccurateradiation 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 onAIapplications formaterials science and engineering to join ourPropertune

AI team!

In this position youdo top notchresearch supportingadvancedmaterials development and production, hone your skills in drafting project proposals andcangrow into a project manager.

Together with our team, you coordinate project preparation and proposals.

Youwill beapplying Artificial Intelligence (AI) methods tosolveexcitingmaterial research problems. The material application areas range from metals to battery materials, and from biopolymers to semiconductor materials. Our team thrives on collaboration, working seamlessly with many other teams across VTT and beyond to achieve shared goals.

You will work to develop

VTTProper

Tune®, whichis a unique, Integrated Computational Materials Engineering (ICME) basedmethodologyto solve complex material problems and to inventtotally new materials with unprecedented properties. VTTProper

Tune® combined with tailored experimental capabilities and powered by data and AI methodology, form together Materials Acceleration Platform (MAP) concept utilized bining 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  addition to applying AI methods for materials research, we work on High Performance Computingutilizing the fastestsupercomputer in Europe, the LUMI, and VTT’s own quantum computers.

Ourobjectiveis to accelerate new material development with data driven and computationally fast solutions in order tosupport the development of new materials needed in green transition and enabling development of new material applications.

Your responsibilities as(Senior)
Scientist:

• Plan, prepare and coordinatenational and internationalproject proposals
• Ensure our defined research tasks are performed ontime,and the results are delivered and reported with high quality.
• Networking and acting as a thought leader in your area of expertise.
• Communicating results impactfully in scientific publications and presentations, as well as with industry projects.
• Act as a core research group member in research focusing onapplying“classic”andstate-of-the-atomachinelearningmethods and AI to solvematerials-related problems and software development and implementation.
• Participating in relevant research projects and customer projects.
• Actasaproject manager for large jointly fundedprojects-Don’tworry if youdon’thave much experience in project management yet, we can support your growth!

Who we are looking for:

• Experienced AI expert withexpertisein some of the following; machine learning, large language models, surrogate modelling, dataanalyticsor data management.
• Interested inusing and developing LLM powered agents.
• Programming skills in e.g. Python, C/C++, etc.
• Experience with materials and their…