Postdoc on Machine Learning and Materials Theory for Optoelectronics

• Are you inspired by the quest for new materials for solar cells, spintronics, and quantum technologies—and eager to accelerate their discovery with machine learning and materials theory?
• Are you passionate about linking atomistic processes to device performance through computer simulations?
• Are you fascinated by designing next-generation semiconductors with quantum-mechanical methods enhanced by AI?

Information
We are seeking a motivated postdoctoral researcher to develop computational frameworks that integrate quantum-mechanical simulations (DFT, many-body methods) with modern machine learning approaches. Your goal will be to design and understand advanced optoelectronic materials — such as halide perovskites — for applications in sustainable energy, spintronics, and quantum technologies. By combining physics-based theory with data-driven models, you will contribute to the next generation of predictive tools for materials design and discovery. You will also collaborate closely with experimental and applied researchers, ensuring that theoretical insights directly inform device-level innovations.

The position is embedded in the Intelligent Materials Theory group and will interact with researchers from interdisciplinary institutes, such as, EIRES and EAISI, and uniting physicists, chemists, computer scientists, and AI engineers. You will benefit from strong links to experimental partners, opportunities to mentor students, and the freedom to develop your own scientific ideas within the theme of intelligent materials theory and design.

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for 18 months.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. € 4,241 max. € 5,538).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.