Publisher
source

Grenoble INP - Institute of Engineering

PhD in Hybrid Digital Techniques for the Simulation of Quantum Dynamics Grenoble INP - Institute of Engineering in France

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Sep 22, 2026

Country flag

Country

France

University

Grenoble INP - Institute of Engineering

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Electrical Engineering
Mathematics
Python Programming
Many-body Systems
Quantum Dynamics
Gpu Computing
Physics
Applied Mathematic
ML

Suggested positions

About this position

PhD opportunity in hybrid digital techniques for the simulation of quantum dynamics at Grenoble INP - Institute of Engineering in France, within the PHELIQS laboratory (Laboratory of Photonics, Electronics, and Quantum Engineering), a joint research unit of CEA and Université Grenoble Alpes.

The project focuses on quantum dynamics, quantum many-body physics, and computational approaches based on tensor networks. The PhD will develop hybrid digital techniques for imaginary-time and real-time dynamics, with the goal of building a quantum-inspired emulator capable of handling large systems with more than 100 qubits and 2D connectivity or higher. Initial applications include qubit systems and benchmarking quantum advantage claims, with later extensions to Hubbard-like models, strongly correlated materials, and potentially LLM and chemistry-related applications.

This position is especially relevant for students interested in the intersection of physics, computer science, mathematics, and electronic engineering. The work involves innovative mathematical developments, dynamic compression/decompression of tensor-network structures, and computational methods that avoid noisy non-convex optimization. Strong programming ability is important, with Python required and Rust considered a plus.

Eligibility highlights: a Master's degree or equivalent in physics, applied mathematics, or computer science; solid background in quantum many-body physics; and good command of both French and English. Experience with tensor networks, variational Monte-Carlo, machine learning, or GPU programming is an asset.

Funding: the post does not specify stipend or tuition details in the text provided. It is a temporary full-time PhD contract starting on 1 Oct 2026.

Application deadline: 22 Sep 2026 at 20:00 (Europe/Paris).

How to apply: send your application by email to [email protected]. A Euraxess page is also linked for additional application information.

Funding details

Available

What's required

Master's degree or equivalent in physics, applied mathematics, or computer science. Applicants should have a solid background in quantum many-body physics and strong programming skills, with Python required and Rust considered an advantage. Experience with tensor networks, variational Monte-Carlo, machine learning, or GPU programming is an asset. Good French and English are required.

How to apply

Send the application by email to [email protected] before the deadline. The post also links to the Euraxess application page for more details.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?