Germany – PhD in Computational Electrodynamics at Leibniz University Hannover

• University: Leibniz University Hannover
• Country: Germany
• Deadline:
• Fields: Applied Mathematics, Computational Physics, Scientific Computing, Electrical Engineering, Nanotechnology
• Topic: Germany – PhD in Computational Electrodynamics at Leibniz University Hannover
• Position: PhD

About the University or Research Institute

Leibniz University Hannover is one of Germany’s leading technical universities, renowned for its excellence in engineering, natural sciences, and interdisciplinary research. Located in the vibrant city of Hannover, the university offers a stimulating academic environment, modern research infrastructure, and a high standard of living. The institution fosters a culture of innovation and international collaboration, making it an ideal destination for aspiring researchers. Hannover itself combines the advantages of a modern metropolis with the tranquility of nature, providing an exceptional quality of life.

Research Topic and Significance

The core focus of this doctoral position is the computational electrodynamics and inverse design of time‑varying metamaterials, supported by the prestigious ERC Consolidator Grant TEMPORE. Metamaterials—engineered materials with unique electromagnetic properties—are at the forefront of scientific and technological innovation. The ability to design and control these materials on ultrafast timescales (from picoseconds to femtoseconds) has transformative implications for photonics, telecommunications, and quantum technologies. The research addresses the mathematical and computational challenges involved in developing fully reprogrammable, multifunctional nanophotonic systems. By advancing the inverse design paradigm, the project aims to redefine how light is manipulated in both space and time, unlocking new possibilities for dynamic optical devices and systems. The outcomes have the potential to impact a wide range of applications, from high‑speed data processing to next‑generation sensors and imaging technologies.

Project Details

This doctoral position is embedded in a dynamic interdisciplinary environment, involving collaboration between the Hannover Centre for Optical Technologies (HOT), the Cluster of Excellence PhoenixD, and the Faculty of Mechanical Engineering. The project is funded under the European Research Council’s Horizon Europe programme, providing robust financial and academic support.

The Research Will Involve

• Mathematical modeling and numerical analysis of time‑dependent electromagnetic systems, particularly Maxwell’s equations in nonlinear and time‑varying media.
• Development of scalable algorithms for large‑scale, four‑dimensional (space‑time) inverse design.
• Implementation and extension of advanced time‑domain solvers, such as finite‑difference time‑domain (FDTD) methods.
• Creation of gradient‑based optimization strategies to navigate complex 4D design spaces.
• Application of these computational methods to realize and validate innovative 3D nanophotonic devices.

A significant aspect of the project is scientific software engineering. The doctoral researcher will contribute to the development of high‑performance research software, focusing on modularity, scalability, and reproducibility. This includes optimization for parallel computing architectures (MPI, GPU) and adherence to best practices in software development. The position also emphasizes scientific dissemination, with opportunities to publish in leading journals, present at international conferences, and collaborate across disciplines including physics, mathematics, nanotechnology, and advanced computing.

Candidate Profile

The ideal candidate for this position is a highly motivated and creative individual with a strong foundation in applied mathematics, computational physics, scientific computing, or electrical engineering. The project is suited for those who thrive in interdisciplinary environments and are eager to tackle challenging problems at the intersection of mathematics, physics, and engineering.

Essential Qualifications Include

• A completed university degree (master’s or equivalent) in applied mathematics, computational physics, scientific computing, electrical engineering, or a closely related field.
• Solid background in numerical analysis, particularly for partial differential equations (PDEs).
• Experience with numerical methods for time‑dependent PDEs.
• Excellent programming skills in C/C++ (required), with Python or similar languages strongly preferred.
• Strong understanding of algorithm design and computational complexity.
• Demonstrated interest in scientific software development and high‑performance computing.

Preferred Additional Skills

• Experience with finite‑difference or finite‑element discretizations of Maxwell’s equations.
• Familiarity with adjoint methods and gradient‑based optimization.
• Exposure to parallel computing (MPI, OpenMP, CUDA, or similar technologies).
• Contributions to research software beyond basic scripting.
• Mathematical maturity and a keen interest in theoretical aspects of numerical modeling.

Applicants from diverse backgrounds are strongly encouraged to apply. Leibniz University Hannover is deeply committed to equal opportunities and diversity, aiming to foster an inclusive research environment.

Application Process

• Curriculum Vitae.
• Degree certificates and academic transcripts.
• Names of two references.
• A cover letter outlining motivation, research interests, and relevant mathematical/computational background.

Applications must be submitted electronically by 30 April 2026. Please refer to the official advertisement for application details.

For More Information, Visit The Official Job Posting

Conclusion

This is a unique opportunity to join a world‑class research team at Leibniz University Hannover and contribute to groundbreaking advancements in computational electrodynamics and nanophotonics. If you are passionate about mathematical modeling, high‑performance computing, and interdisciplinary research, do not miss your chance to apply. Stay informed about similar research opportunities to further your academic and professional goals.

Questions & Answers

Question: What are the main research areas involved in this PhD position?

Answer: The position focuses on computational electrodynamics, inverse design of metamaterials, mathematical modeling, numerical analysis, and scientific software engineering.

Question: Which academic backgrounds are best suited for this role?

Answer: Applicants with degrees in applied mathematics, computational physics, scientific computing, electrical engineering, or related fields are ideal candidates.

Question: What programming skills are required?

Answer: Strong proficiency in C/C++ is mandatory, while experience with Python or similar languages is highly desirable.

Question: Is experience with parallel computing necessary?

Answer: Experience with parallel computing (MPI, OpenMP, CUDA, or similar) is preferred but not strictly required.

Question: What is the duration of the PhD position?

Answer: The position is initially limited to three years, with the possibility of extension based on performance and project needs.

Question: Are there opportunities for career development?

Answer: Yes, the project offers strong support for career development, international networking, and scientific visibility through publications and conferences.

Question: Is the position open to international applicants?

Answer: Yes, Leibniz University Hannover encourages applications from candidates of all nationalities and backgrounds.

Question: Where can I find more information or apply?

Answer: Refer to the official job posting for complete application instructions:

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