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At ZEISS Corporate Research, we explore and validate future technologies that will shape the next generation of optical and imaging products. We are looking for curious, motivated students who want to actively contribute to next-generation ZEISS products in visual computing. In this role, you will contribute to quantum computation with a focus on developing and implementing an optimization algorithm for optical applications.
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Your Role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

• Implementing and evaluating state-of-the-art quantum algorithms (e.g., QAOA, VQE, quantum annealing or others) for an optimization problem in the scope of optical systems

• Implement prototypes and demonstrators to evaluate quantum-enhanced optimization concepts for ZEISS applications

• Running experiments on quantum simulators or cloud-based quantum hardware, benchmarking performance, and documenting your findings

• Collaborating closely with researchers to integrate your results into ongoing research projects

• Presenting your work within the team and contributing your ideas to technology evaluations

What We Offer

• An opportunity to build the foundation for next-generation products.

• Mentorship by experienced PhD-level experts

• The possibility to write a Master's Thesis following an intership

• A modern work environment with a mix of remote and on-site days

Profil

• Enrolled in a Master's program in computer science, computational physics, quantum information or a related field

• Interested in technology evaluation and motivated to work on challenging tasks

• Profound understanding of quantum information concepts (e.g. no-cloning theorem, qubits, gate operations) or physics-based simulation

• You have a strong background in physical modelling with very good coding skills in Python, Q#, Qiskit or similar

• You are willing to collaborate and work in interdisciplinary teams

• Fluent in English , knowledge of German is a plus but not required

• You are willing to learn and explore with a high degree of initiative and creativity

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