VTT Technical Research Centre of Finland is inviting applications for a Postdoctoral Researcher in Machine Learning & Cheminformatics to join the Rise to Challenge project, “Q-GEN: Quantum computing applications for future genomes and biomaterials.” This two-year position offers a unique opportunity to work at the intersection of machine learning, physics-based simulations, and quantum computing to innovate wood-based biopolymers.
Job Overview
| Designation | Postdoctoral Researcher |
| Research Area | Machine Learning, Cheminformatics, and Biomaterials |
| Location | Tekniikantie 21, Espoo, Finland |
| Employment Type | Full-time, 2-year fixed term |
| Application Deadline | November 8, 2026 |
Job Description
In this role, you will develop a data-driven screening workflow for biomaterial design. Your primary responsibilities include:
- Developing machine learning methodologies to predict biopolymer properties from molecular representations and physics-based simulations.
- Establishing and validating classical baselines to compare with emerging quantum computing approaches.
- Interpreting results alongside chemists and physicists to identify promising candidates for wet-lab experiments.
- Collaborating with an interdisciplinary team of experts in quantum computing, genomics, and synthetic biology.
- Communicating research findings through scientific publications and project reports.
Eligibility and Qualifications
The ideal candidate should meet the following criteria:
- Education: A doctoral degree in Computer Science, Data Science, Machine Learning, Chemical/Material Informatics, or a related field, completed within the last five years.
- Technical Skills: Strong practical experience in data-driven modeling, molecular representations, and quantitative structure-activity relationships (QSAR).
- Programming: Proficiency in Python or a similar scientific programming language, with the ability to create reproducible computational workflows.
- Experience: Familiarity with cheminformatics tools such as RDkit is considered a significant advantage.
- Communication: Fluent in English with a strong scientific track record and the ability to work in an international, multidisciplinary environment.
Benefits
VTT offers a supportive and visionary work environment, including:
- Access to state-of-the-art research facilities like Micronova.
- A stable career path with opportunities for long-term growth.
- Six weeks of paid annual leave (after one year of service).
- Comprehensive well-being services, including exercise and culture benefits.
How to Apply
Interested candidates should submit their application through the VTT recruitment system. Your application must include a CV and answers to pre-screening questions, including a list of your three most relevant publications and a brief explanation of their significance to this role.
Apply Link: Official Application Portal
Last Date for Apply
Applications must be submitted no later than November 8, 2026. Note that applications are processed as they arrive, and the position may be filled as soon as a suitable candidate is found.
