What you'll do
You will work on a PhD research project on quantum-aware data centers, aiming to explore the integration of quantum computing, communication, and memory resources into existing or new cloud infrastructures to build scalable and secure hybrid data centers. The research will address key challenges, including physical infrastructure for quantum hardware, quantum data ingestion, integration of quantum memory systems, distributed quantum computing, and end-to-end network orchestration.
This project will be conducted in collaboration with Scaleway, CERN QTI and LIP6 (Laboratoire d’Informatique de Sorbonne Université Paris, Centre for Quantum Computing – Doctoral school) contributing to the emergence of practical and interoperable hybrid infrastructure in Europe.
Your responsibilities
- Conduct theoretical research on hybrid quantum algorithms emphasizing the natural integration with different quantum computing technologies.
- Develop and refine theoretical and computational models for hybrid integration.
- Implement these models on classical and quantum platforms.
- Explore the energy footprint modeling of quantum computing infrastructures, particularly at the scale of distributed and cloud-based quantum systems.
- Explore and develop potential use cases for these advanced models in multiple domains, drawing in particular from High Energy Physics
- Increase progressively the complexity of the use cases treated, identifying potential advantages of using (quantum) machine learnable approaches, and estimating in detail, whenever possible, the resources required.
Still here? Let's make a quick check about
Your profile
- Your field of study is in Physics, Computer Science, Mathematics, or a related field.
- Strong background in at least one among quantum computing, distributed system, and computer science.
- Proficiency in programming languages (preferentially Python or Julia)
- Familiarity with quantum computing frameworks (e.g. Qiskit, Qibo, Pennylane or similar) would be an advantage
Your skills
- Demonstrated problem-solving abilities, innovative thinking, and the capacity to work both independently and collaboratively.
- Knowledge in distributed systems, networking, cloud or HPC infrastructure, prior exposure to quantum software or hardware is a plus
- Knowledge of high energy physics principles and data analysis methodologies would be an advantage
- Spoken and written English or French
Global Benefits at CERN
Let's get you ready
Be sure to meet the eligibility criteria
- You are a national of a CERN Member State or Associate Member State.
- You have a good knowledge of English or French.
- Your university must support your participation in the programme. This means that your university should agree that the research you conduct at CERN will contribute to your PhD thesis. Additionally, your field of study should align with CERN’s research areas, including, but not limited to, physics, engineering, computing, and related applied sciences.
- You must be enrolled in a doctoral program in a relevant field such as physics, engineering, computer science, or a related discipline. You should have begun your doctoral studies at the time of application.
You will need these documents to complete your application
- Your CV (English or French)
- Any document you consider relevant to your application
- An academic reference letter (optional)
- An academic transcript (optional)