Coherent Corp.→
Intern, Digital Twin of Liquid Crystal… at Coherent Corp. · Santa…
InternshipOn-siteFull-timeSanta Clara, CA
Skills
optical design softwareliquid crystal devicesfinite element analysisprogramming in pythonmachine learning techniqueselectro-optic modulationcomputational photonicsanalytical problem-solvingindependent workcollaboration skills
Job Description
Summary: Coherent Corp. is a global leader in lasers and engineered materials, and they are seeking an intern to develop a digital twin model for Liquid Crystal-based optical circuit switching architectures. The role involves modeling system performance, investigating switching architectures, and collaborating with engineers to refine models and validate simulation results.
Responsibilities:
- Develop a digital twin model for Liquid Crystal–based optical circuit switching architectures, including spatial light modulators, LC beam steering devices, and free-space optical relay systems
- Model free-space optical propagation and system performance using optical design tools such as Zemax OpticStudio or equivalent ray-tracing platforms
- Investigate polarization-diverse switching architectures to support polarization-insensitive operation and improve switching efficiency and scalability
- Simulate electro-optic behavior of liquid crystal devices, including phase modulation, birefringence control, and beam steering mechanisms
- Explore co-design methodologies that jointly optimize LC device physics and system architecture, including device parameters, optical layout, and switching fabric topology
- Analyze key optical system parameters including:
- Beam propagation and diffraction
- Polarization effects and birefringence
- Insertion loss and crosstalk
- Switching contrast ratio
- Optical alignment tolerances and stability
- Perform tolerance and sensitivity analysis to evaluate the impact of optical alignment, mechanical stability, and thermal variation on switching performance
- Use finite element analysis (FEA) tools (e.g., ANSYS, COMSOL) to model thermal effects, mechanical deformation, and packaging influences that may impact optical alignment or LC device behavior
- Investigate AI-assisted digital twin modeling approaches, including machine learning techniques to accelerate simulation, predict device/system performance, and optimize switching architectures
- Develop modeling and simulation frameworks using Python, MATLAB, or scientific computing environments
- Collaborate with optical, device, and system engineers to refine models and validate simulation results against experimental measurements
- Document research methodology and findings
- Deliver a final technical report and presentation summarizing the digital twin architecture, modeling framework, and design insights for next-generation LC-based OCS systems
Required Qualifications:
- Current PhD candidate in one of the following fields: Optical Engineering, Photonics, Electrical Engineering, Applied Physics, Materials Science (with electro-optic device focus)
- Excellent written and verbal communication skills
- Ability to work independently in a research-oriented environment
- Strong analytical and quantitative problem-solving skills
- Experience with optical design software such as Zemax OpticStudio or similar tools
- Familiarity with free-space optical systems and polarization optics
- Experience with finite element analysis (FEA) tools such as ANSYS or COMSOL
- Programming experience in Python, MATLAB, or C/C++ for simulation and modeling
- Sitting for extended periods while working on a computer or in meetings
- Use of hands and fingers for typing, writing, and handling documents
- Occasional lifting of objects or materials up to 20 pounds
- Ability to communicate verbally and in writing
Preferred Qualifications:
- Research experience in one or more of the following areas: Liquid crystal photonic devices, Spatial light modulators (SLM), Free-space optical systems, Optical switching architectures, Electro-optic modulation, Computational photonics or system modeling
- Experience with liquid crystal devices, electro-optic modulation, or spatial light modulators is highly desirable
- Exposure to machine learning or AI techniques for modeling or system optimization is a plus
- Experience with multi-physics modeling or system simulation frameworks is highly desirable
Required Skills: Optical design software, Liquid crystal devices, Finite element analysis, Programming in Python
Important Skills: Machine learning techniques, Electro-optic modulation, Computational photonics
Nice-to-Have Skills: Analytical problem-solving, Independent work, Collaboration skills