Chimera states in mathematical models of coupled networks.

The nonlinear time series analysis group of the Department of Information and Communication Technologies of the Universitat Pompeu Fabra, Barcelona, Spain offers a PhD position. The research of the group is positioned at the interface between physics, applied mathematics, and neuroscience. The PhD project will be dedicated to the study of chimera states in mathematical models of networks of coupled oscillators or maps. For details on this line of research please see:

The student will receive a fellowship during three years, which can be extended to a fourth year. The contract is renewed yearly provided that sufficient progress has been made. The student will have to teach some seminars in undergraduate physics or math courses at our department.

The student should have a background in physics, mathematics or related fields. The study of the networks is primarily numerical and therefore strong programming skills are required. Analytical aspects can be added, but will not be the main focus of this work. The thesis involves no laboratory or experimental work. Previous experience in the study of dynamical systems is a plus. The candidate will work in our nonlinear time series analysis group, an international team that puts a strong emphasis on well-organized supervision of its junior members and regular research activities such as journal clubs, project meetings, etc.

To apply please submit a detailed motivation letter. It is recommended that this motivation letter relates to our group’s recent publications in the topic. This can be done by summarizing some aspect of this work and brainstorming on possible ideas for a project to continue this line of research. The submission should furthermore include your CV and certificates of your undergraduate studies. You should furthermore ask two reviewers to upload a letter of recommendation to this application system.

The candidate selected by our research group will afterwards have to formally apply to our PhD program. Details can be found here:

Applications should be submitted as soon as possible but not later than 01.07.2022. The application platform can be found at this link.