项目介绍

2026年9月30日

项目介绍

查尔姆斯理工大学（Chalmers University of Technology）电气工程系招收四年制全奖博士生（Ref 2026-0448），研究方向为机器学习驱动的量子纠错（QEC）解码：面向表面码与量子 LDPC 码等主流纠错码族，设计兼具强解码性能与极低延迟、硬件约束友好的学习型解码器。该岗位隶属欧洲首个专注量子纠错的 Marie Skłodowska-Curie 博士网络 QuBriC（16 所学术机构 + 7 家产业伙伴，覆盖 11 国），将加入 15 人博士队列并赴杜克大学与 IQM 量子计算机访学。岗位全额资助，预计 2027 年初入学，申请截止 2026 年 11 月 30 日。

Project

Quantum computers promise capabilities far beyond today’s computers, but only if we can reliably protect quantum information from errors. Quantum error correction is therefore one of the central challenges on the path toward large-scale quantum computing. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding.

Decoding is one of the major computational challenges in quantum error correction. A useful decoder must infer the most likely errors from incomplete and noisy measurements, while operating within extremely tight latency and hardware constraints. Possible research directions include: designing ML-based decoders for leading quantum error-correcting code families, including surface and quantum LDPC codes; developing algorithms that combine ideas from ML, coding theory, and conventional message-passing decoders; using learning approaches to discover new decoding strategies or even new code structures; jointly optimizing quantum codes and their decoders for realistic noise models and hardware constraints; and studying how ML decoders generalize across code sizes, noise conditions, and hardware platforms. The exact direction of the project can be shaped according to your background and research interests.

Who we are looking for

• A Master’s degree (120 credits) or a Master’s degree (60 credits) in electrical engineering, computer science, applied mathematics, physics, or a closely related field; for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.
• Strong background and excellent course grades in at least one of: coding/information theory, digital communications, quantum information processing, quantum computing.
• Strong mathematics and programming skills (e.g., Python, Matlab, or similar).
• Strong written and verbal communication skills in English.

Meriting experience: deep learning and probabilistic machine learning; optimization and message-passing algorithms; previous research, publication, and teaching experience. Swedish language skills are not required.

MSCA eligibility

Because this position is funded through a Marie Skłodowska-Curie Doctoral Network, candidates must not already hold a doctoral degree at the date of recruitment, and must not have resided or carried out their main activity (work, studies, etc.) in Sweden for more than 12 months in the 36 months immediately before recruitment.

Employment

The PhD position is fully funded for 4 years (plus possible extension based on teaching and department duties, up to 20%). Chalmers offers some of the highest PhD salaries in Europe (starting salary 34,550 SEK per month), full social benefits and health insurance, no tuition fees, and financial support for relocation. You will join the Department of Electrical Engineering, an international research environment with strong expertise in machine learning, information and coding theory, signal processing, and quantum systems, in the coastal city of Gothenburg.

Application

The application should be written in English and attached as PDF files (max 40 MB each): CV (named CV, Family name); personal letter; two references; bachelor’s and master’s theses together with transcripts; documents confirming English proficiency. Apply via the portal on the Chalmers vacancy page. Incomplete applications and applications sent by email will not be considered. Expected starting date: early 2027.