Research Fellow

1 week ago

Singapore SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN Full time
Roles & Responsibilities

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  • Ph.D. students who are expected to graduate within 6 months, with the relevant expertise, are also welcome to apply.
Tell employers what skills you have

Machine Learning
Applied Physics
Modeling
Ability To Work Independently
Physics
Investigation
Artificial Intelligence
Chemistry
Characterization
Publications
Simulations
Computational Physics
Laboratory
Applied Mathematics

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