2 PhD positions in Mathematics, Theoretical Physics, Control Systems, Theoretical Machine Learning

University of Luxembourg
August 21 2017
Position Type
Full Time
Organization Type

The University of Luxembourg is a multilingual, international research University.


Two Phd Positions are available in the Systems Control group of the University of Luxembourg, in the framework of the Doctoral Training Unit CriTiCS on Critical Transitions in Complex Systems.

PhD position #1 (theoretical): Classification and detection of critical transitions

PhD position #2 (applied): Early detection of heart attacks and atrial fibrillations


See project description below for #2, see companion advert for #1.


Supervisor: Prof. Jorge Goncalves.

Start Date: flexible from now until September 2018.

Closing date for applications: open until filled.

Funding: full funding available for up to 4 years, with a highly competitive salary.


Candidate profile:

  • Hold (or being about to obtain) a Master degree in Mathematics, Theoretical Physics, Control Systems, Theoretical Machine Learning or related fields.

  • Strong mathematical background is a requirement.

  • We will only consider students that graduate in their top 20% undergraduate and Master's class rank (equivalent to a UK first class degree).

  • Excellent working knowledge of English.


To apply and for further information: www.critics.uni.lu.

Informal inquires: Dr. Stefano Magni, info.critics@uni.lu.


These positions are inserted in the framework of the interdisciplinary Doctoral Training Unit CriTiCS which encompasses 11 PhD positions and confronts the topic of critical transitions in complex systems within a range of disciplines including the areas of physics, clinical science, biology and finance. CriTiCS is a project based at the Luxembourg Center for Systems Biomedicine.

The University of Luxembourg is an equal opportunity employer.




Project description:

Phd position #2 (applied): Early detection of heart attacks and atrial fibrillations


This project will consider two forms of critical transitions at different time scales. A slow time-varying evolution of the disease, which can take years (development of an arrhythmic remodeling). Healthy patients can start developing the disease by changes in the electric activity and structure in the heart years before seeing any symptoms. Detecting the disease early could provide a chance for patients to change their life style and habits. The system here can be seen with a single (normal) rhythm, and with age Atrial Fibrillation can appear from changes in the system dynamics, which eventually will lead to the establishment of two possible stable states (healthy and Atrial Fibrillation). The project aims at capturing which information can pinpoint the changes in this dynamics. A totally different (on a faster time scale) type of critical transition occurs when the disease is already established and the heart can switch between two stable trajectories: normal rhythm and Atrial Fibrillation. Ideally, there would be a simple monitoring device, such as a watch or a basic ECG that would record signals and provide advance warning of a transition to Atrial Fibrillation. A patient would then be able to take specific medication to prevent this transition. These ideas will also be explored with respect to heart attacks. The datasets at the basis of this study are provided by Dr. Dominik Linz, clinician-scientist at The University of Adelaide, furthermore interested in investigating the relation between sleep disordered breathing and arrhythmia.

Link to apply : http://emea3.mrted.ly/1i4rd

This job comes from a partnership with Science Magazine and Euraxess