* Description: The research group of Mohammad Ansari at Research Center Jülich, Germany, invites applications for a postdoctoral position in superconducting processors with machine learning.

* Project: The project aims to advance the theory of superconducting processors for accurate modelling. A special focus will be on finding and characterizing the Hamiltonian of a large processor using numerical analysis. This project is part of my commitment t the European Research funding for making 100+ qubits, called OpenSuperQPlus (https://www.opensuperqplus.eu )

* Profile: A strong drive for original research and self-initiative are important keys to helping run the project, as a collaborative nature. The work will involve substantial use of numerical and analytical techniques developed in our group. This project thus seeks an applicant with a solid background and experience in machine learning and quantum computing.

Team and environment: This position will be embedded within the research group of Dr, Ansari with a base in Jülich, Germany and frequent visits to the experimental team at Chalmers, Sweden. Currently, in the team, there are 5 Ph.D., and postdocs active on similar topics.

Forschungszentrum Jülich is a comprehensive research-intensive centre with a strong international standing and ties with more than 7000 employees. More information can be found at www.fz-juelich.de

Prerequisites: A Ph.D. degree in theoretical physics, and fluency in both written and spoken English is an absolute prerequisite. Ability to communicate results clearly and concisely, directly with colleagues, as well as with outside collaborators and at conferences.

Position: This position is provided for 2 years, with the possibility of an additional third year.

How to apply: The application file should contain:
(1) Letter describing the applicant and research interests
(2) CV
(3) Full publication list
(4) Contact information for at least three references
(5) Copies of relevant degrees

Please direct all queries regarding this advertisement, as well as the application package, in the form of a single PDF to m.ansari@fz-juelich.de

Review of applications will begin October 1st and continue until the position is filled.