As part of the EU-funded Horizon 2020 project MAESTRIA (Machine Learning and Artificial intelligence for Early detection of Stroke and Atrial Fibrillation) we aim to develop novel ways to detect atrial fibrillation and to identify novel therapeutic targets to personalize atrial fibrillation (AF) management, by integrating data from various sources. For this project the Department of Physiology within the Cardiovascular Research Institute Maastricht (CARIM) at Maastricht University, has a vacancy for a postdoctoral researcher in the field of artificial intelligence, applied to the analysis of cardiac arrhythmias, specifically atrial fibrillation.

In Maastricht we particularly focus on determining electrophysiological parameters as biomarkers to rigorously determine the complexity and progression of human AF from early to advanced stages of atrial remodeling. Tasks include the automated detection of AF in various types of electrocardiograms (ECG), the prediction of AF treatment outcome based on clinical patient characteristics and advanced ECG features, and the identification of driving electrical conduction mechanisms of AF in electro-anatomical mapping data.

The postdoctoral researcher will be responsible for the development and implementation of appropriate techniques from the field of artificial intelligence to train, test and validate models for these tasks, ranging from multimodal prediction models to models for pattern recognition, using for instance a deep learning approach. You will work in close collaboration with your supervisors, other postdocs and PhD candidates with different disciplinary backgrounds. We join our efforts to integrate large amounts of electrophysiological data into state-of-the-art computational tools for personalized AF management.

Essential:

• You have completed a PhD in data science and/or artificial intelligence;
• You have gained knowledge of various machine learning techniques, particularly artificial neural networks and deep learning and would like to further develop this knowledge;
• In previous roles you have worked with the application of data science and artificial intelligence in the context of biomedical signals;
• You enjoy the process of conceiving and writing papers (in English) and have the ambition to produce high quality research outcomes.

Desirable:

• You are familiar with concepts from the field of computational cardiac electrophysiology and cardiac measurement modalities.

Fixed-term contract: 3 years.

We offer an interdisciplinary and collaborative postdoc project embedded into a highly international institute, which is one of the leading research institutions in the field of cardiac electrophysiology. The position is temporary for the duration of 3 years.

Depending on experience and qualification, the maximum gross monthly salary is € 4.490,- in accordance with scale 10 of the Dutch university collective bargaining agreement. Each year the standard salary is supplemented with a holiday allowance of 8% and an end-of-year bonus of 8.3%. If you do not live in the Maastricht area, please consider applying. Maastricht University offers you a relocation allowance.

As holder of the Family-friendly University quality mark, we offer flexible working hours and the option of working partly from home if the nature of your job allows it. For this you will receive a monthly home-work and internet allowance. If you work full-time, you are entitled to 29 days of vacation per year. You have the option to work 2 'compensatory hours' a week more, which means an additional 12 vacation days. You can also personalize your terms of employment using a 'Employment Conditions Selection Model'. As a UM employee, you can also participate in our fitness programme and make use of the extensive sports facilities which we offer our students.

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl > About UM > Working at UM.

Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 20,000 students and 4,700 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl.

Employer
Located in the heart of Europe, Maastricht is a dynamic historical city with many other popular European cities just a short train ride away. UM is the most international university in the Netherlands with half of our students and a third of academic staff coming from abroad. In total, UM is proud to represent over 100 different nationalities.

The UM culture thrives due to its collaborative and innovative approach, with constant interaction between staff, students, and researchers, all working together to take on new challenges. This approach creates an exciting workplace. Our focus is to shape the future by critically reflecting on current situations and valuing new ideas and developments.

Department
CARIM - Cardiovascular Research Institute Maastricht

CARIM offers a very broad range of facilities covering the entire field of translational cardiovascular research and many internship opportunities, taking advantage of its connection with a large academic hospital. CARIM has an open and dynamic work culture in which talented and ambitious young people work side by side with renowned researchers and medical specialists. CARIM is an active research institute that enables its employees and provides support, such as assistance with applications for research grants and funding, a talent development programme and a Research Council, that reviews project proposals before they are submitted. CARIM provides a dynamic, critical learning environment, which proves to be fertile ground for top achievements in the field of cardiovascular research.