We offer a full-time senior postdoctoral position in the theory of quantum error correction and fault tolerance. Our group has a strong international profile in this area and offers a unique culture of scientific exchange, lively discussion, and intensive blackboard collaboration. Possible research topics include
We investigate the fundamental principles of quantum information processing and complex quantum many-body systems. Using methods from mathematical physics, quantum information theory and computational science, we seek a deeper understanding of quantum phenomena while addressing the fundamental challenges underlying emerging quantum technologies. Our research spans quantum computing, quantum error correction, quantum algorithms, quantum communication and the study of strongly correlated quantum matter.
We are recruiting a PhD student to work on quantum information theory and quantum communication theory in the research group of Michael G. Jabbour at Télécom SudParis, Institut Polytechnique de Paris.
The successful candidate will contribute to research on:
Student / Research and Technical Associate position in Quantum Information and Certification / Center for Quantum-Enabled Computing, Warsaw, Poland
Application deadline: Friday, July 24, 2026
Research group: Quantum Information and Certification Group
Employer: Center for Theoretical Physics PAS, Warsaw, Poland / Center for Quantum-Enabled Computing
Job type: Research Student / Research and Technical Associate
Topic of PhD Research: The broad topic of research will be quantum information theory, quantum learning, quantum statistics, quantum source compression. The focus will be on conducting research of a highest quality. The student will be funded by an Agence National De Research project. Mastering quantum information is a challenging task today. It is at the intersection of physics, mathematics and engineering - computer science and electrical engineering. More so, the field is currently dominated more by physicists and mathematicians.
The 871st WE-Heraeus Seminar, titled Input, Output, Insight: Inference from Black Boxes – Contextuality, Bell Inequalities, and Beyond, will take place at the Physikzentrum Bad Honnef, Germany, between 14.10.2026 and 17.10.2026.
Topic of PhD Research: The broad topic of research will be quantum information theory, quantum learning, quantum statistics, quantum source compression. The focus will be on conducting research of a highest quality. The student will be funded by an Agence National De Research project. Mastering quantum information is a challenging task today. It is at the intersection of physics, mathematics and engineering - computer science and electrical engineering. More so, the field is currently dominated more by physicists and mathematicians.
We are recruiting one PhD and one Postdoc to begin around October 2026. The successful candidates will work under the joint supervision of Marco Fanizza and Cambyse Rouzé and will join the Inria team Quriosity, located at Télécom Paris, Institut Polytechnique de Paris. Quriosity specializes in the theory of quantum information with currently 7 permanent members whose research spans topics such as: quantum computing, quantum cryptography, quantum simulation, quantum foundations and quantum learning.
Professorship (W2, tenure track to W3) in Quantum Information Theory (m/f/x; Reference no.: W2810)
Institution: Saarland University, Department of Mathematics, Faculty of Mathematics and Computer Science - Saarbrücken Campus
About the Position:
Context : In the recent past, it has been established beyond doubt that by leveraging the unique quantum properties of sub-atomic particles, information can yield unparalleled advantages in diverse disciplines of information processing including computing, communication, cryptography and control. In fact, protocols such as quantum key distribution accomplish tasks hitherto believed impossible. Notably, these protocols have been demonstrated in practice and research is underway to scale them up. We are shaping up towards emergence of a new age in information processing.
