Postdoc on Optoelectronics: Eindhoven University of Technology (TU/e) is seeking a motivated postdoctoral researcher to develop computational frameworks that combine quantum-mechanical simulations with machine learning for designing advanced optoelectronic materials. This position offers unique collaborative opportunities in a dynamic and international research environment.
Designation
Postdoctoral Researcher (1.0 FTE)
Research Area
Machine Learning, Materials Science, Optoelectronics
Location
Eindhoven University of Technology, Eindhoven, Netherlands
Eligibility/Qualification
- PhD in physics, materials science, chemistry, computational science, or a related field.
- Strong expertise in at least two of the following: density functional theory (DFT), many-body methods, molecular dynamics (MD), and machine learning (ML) for materials design.
- Demonstrated experience in connecting physics-informed models with data-driven approaches.
- Background in optoelectronic, spintronic, or quantum materials is a strong plus.
- Proven track record of high-quality research, evidenced by publications.
- Collaborative mindset with enthusiasm for mentoring students.
- Excellent English communication skills, both written and spoken.
Job Description
The successful candidate will:
- Develop computational frameworks integrating quantum-mechanical simulations and machine learning.
- Design and understand advanced optoelectronic materials, focusing on applications in sustainable energy, spintronics, and quantum technologies.
- Collaborate closely with experimental and applied researchers, translating theoretical insights into device-level innovations.
- Participate in mentoring students and contributing to the interdisciplinary research environment of the Intelligent Materials Theory group.
How to Apply
Interested candidates should submit:
- A cover letter detailing motivation and qualifications for the position.
- A curriculum vitae, including a list of publications and contact information of three references.
- A list of five self-selected ‘best publications’.
Applications can be submitted using the apply-button on the TU/e website.
Last Date for Apply
Applications are open until the position is filled. However, it is recommended to submit applications as soon as possible.
