Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:
Research Areas:
- Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
- Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
- Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
- Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
- Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.
Key Responsibilities:
- Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
- Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
- Analyze and interpret simulation results, developing insights into novel physical phenomena.
- Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
- Publish research findings in high-impact, peer-reviewed journals.
- Present research results at internal seminars, conferences, and workshops.
- Contribute to the development of computational tools and code libraries for the group's research.
Qualifications and Skills:
- Required:
- A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
- Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
- Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
- Ability to develop and modify simulation codes to model complex, multi-physics systems.
- Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
- Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.
Preferred:
- A strong publication record in top-tier journals in related fields.
- Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
- Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
- Ability to work independently and as part of an interdisciplinary team.
- Demonstrated creativity and innovation in solving complex theoretical and computational problems.
- Experience in collaborative research with experimentalists or other research groups is highly desirable.
Eligibility:
- Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.
