If you’re a passionate researcher with a solid foundation in Artificial Intelligence or Materials Science, the Postdoc in AI-Driven Material Discovery 2025 at the Technical University of Denmark (DTU) is calling you. This fully funded DTU AI Postdoc Fellowship 2025 combines cutting-edge AI applications with material innovation in sustainability-focused sectors like clean water, energy, and resource recovery.
This opportunity is ideal for early-career scholars aiming to impact real-world challenges through interdisciplinary collaboration with scientists and industrial partners.
About Technical University of Denmark (DTU)
DTU is consistently ranked among the top 100 technical universities worldwide and is known for pushing the boundaries of science and engineering. It maintains strong industry ties and is involved in numerous EU and global innovation initiatives. DTU provides a dynamic and interdisciplinary research environment, perfect for researchers working at the interface of AI and environmental science.
DTU AI Postdoc Fellowship 2025 Overview
Field | Details |
Fellowship Title | Postdoc in Artificial Intelligence-Driven Material Discovery |
Host Institution | Technical University of Denmark (DTU) |
Location | Lyngby, Denmark |
Fellowship Duration | 2 years |
Funding Type | Fully Funded (as per Danish Confederation Agreement) |
Application Deadline | 24 August 2025 (23:59 Danish time) |
Eligible Degrees | PhD in AI, Data Science, Materials/Env. Engg |
Work Area | AI, Environmental Engineering, Materials Science |
Fellowship Benefits
- Full-time salaried position under Danish Confederation of Professional Associations
- Opportunity to lead interdisciplinary projects
- Access to advanced computational and lab facilities
- Collaborative environment with international researchers and industry
- High-quality research exposure and publications
- Experience living and working in Denmark, renowned for its innovation-friendly environment.
Research Focus Areas
- AI for Sustainable Materials Discovery (catalysts, membranes, etc.)
- Machine Learning for Water Treatment and Energy Applications
- Generative Models for Materials Optimization
- Project management and communication using AI tools
- Collaboration with European research institutions and industry leaders
Eligibility Criteria
- Applicants must possess a PhD (or its equivalent) in one of the following fields.
- Artificial Intelligence / Machine Learning
- Data Science / Computer Science
- Materials Science and Engineering
- Environmental or Chemical Engineering
- Proven expertise in at least one of the following areas:
• Machine Learning, Deep Learning
• Materials optimization
• Computational modeling
• Scientific programming (especially Python) - High-quality publication track record
- Strong communication and teamwork skills
- Passion for interdisciplinary and sustainability-driven research
Required Documents
- Cover Letter (motivation & goals)
- Curriculum Vitae (CV)
- PhD/MSc academic diplomas (in English)
- Research Experience and Future Plan
- List of Publications
Submit all documents as a single PDF file before the deadline hits for the DTU AI Postdoc Fellowship 2025.
Application Process (Step-by-Step)
- Visit the Official Fellowship Link
- Click “Apply Now”
- Complete the online application form
- Combine and upload all necessary documents as a single PDF file.
- Submit before 24 August 2025 (23:59 Danish Time)
- Shortlisted candidates may undergo open-source background checks
Comparison with Similar Fellowships
Fellowship Name | Host Institution | Duration | Funding | Field Focus |
DTU Postdoc AI Fellowship | DTU (Denmark) | 2 Years | Fully Funded | AI + Environmental Materials |
Marie Curie Postdoctoral Fellowships | EU Institutions | 2 Years | Fully Funded | Multidisciplinary |
ETH Zurich Postdoc Fellowship | ETH Zurich (Switzerland) | 2 Years | Fully Funded | Engineering, Sciences |
KAUST Global Fellowship | KAUST (Saudi Arabia) | 3 Years | Fully Funded | Science and Technology |
Fulbright Postdoctoral Fellowship | USA Universities | 1 Year | Fully Funded | All Disciplines |
FAQs About DTU AI Postdoc Fellowship 2025
- Is prior experience in materials science mandatory?
A1: Not required, but AI researchers should demonstrate a clear interest in applying their work to environmental materials. - What is the employment type?
A2: It is a fully salaried position under the Danish Confederation of Professional Associations. - Can I apply if I don’t have a publication record yet?
A3: Publications are highly valued; strong research potential and technical skills may compensate. - Is collaboration with industry part of this fellowship?
Yes, you’ll work alongside industrial partners on innovation projects funded by the EU. - What programming skills are preferred?
Python, utilizing libraries like NumPy, pandas, scikit-learn, PyTorch, or TensorFlow. - Can international candidates apply for the Fully Funded Research Fellowship in Denmark?
A6: Absolutely. DTU encourages applications from all nationalities. - Is relocation support available for Postdoc in AI Denmark 2025?
A7: While not explicitly stated, Denmark provides excellent support services for international researchers. - What happens if I submit my application after the deadline?
A8: Late applications will not be considered. - Is knowledge of Danish required for DTU Postdoc Fellowship?
A9: No, the position operates in an international and English-speaking environment. - Will I teach courses at DTU?
A10: The role focuses on research and collaboration; teaching is not mandatory but may be available.
If you’re eager to use artificial intelligence to tackle real-world sustainability challenges, don’t miss this incredible opportunity at DTU. Start your application now and become part of an elite research group making breakthroughs in water, energy, and materials science. APPLY NOW. Visit the official website today to read about the complete details.