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The position is embedded in the Institute of Data Science, a research unit within the Department of Advanced Computing Sciences, Maastricht University. The candidate will work together with PhD candidates, postdoctoral researchers, and other senior researchers. The candidate will conduct research on Federated Health Data Models and, specifically, will contribute towards the development of a decentralized health data sharing platform supporting the search access and analysis of health data. You will make use of blockchain based model to propose health data interoperability and AI-model development monitoring solutions. The position is supported by two large-scale, multi-disciplinary European Funded projects, which bring together universities, companies, and end-users, all active in the fields of AI and Medicine, to design and collaborate with novel health data sharing platforms. REALM-ai, is a project aiming to develop a monitoring and certification system for AI medical software approval and the second is iCARE4CVD where the aim is to create a federated health data sharing infrastructure to support health data analysis. Both projects require the development of a blockchain-based health data sharing and ai-model-development infrastructure.
The tasks of the successful candidate include:
The ideal candidate has:
As a Post-Doc at the Faculty of Science and Engineering, you will be employed by the most international university of the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:
The terms of employment at Maastricht University are largely set out in the Collective Bargaining Agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, Click here
The preferred starting date is Octorber 1, 2023.
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.
In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.
With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.
Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.
Click here for more information about UM.
At the Faculty of Science and Engineering (FSE) we focus on themes such as circularity and sustainability, future farming, digitisation and (scientific) instrument development. FSE's leading projects, like the Einstein Telescope Pathfinder, are sure to grab anyone's attention. The Faculty is a vibrant hub of education and research in Science, Technology, Engineering, and Mathematics (STEM) and Liberal Arts and Sciences (LAS). At FSE, over 450 staff members and 3150 students gather to explore exciting interdisciplinary research and educational programmes. Feel welcome, be part of our team and put your brilliant mind to work!
FSE at the Brightlands Campuses
Maastricht, Sittard-Geleen, Heerlen and Venlo, the homes of four creative Brightlands campuses, are bustling with 30,000 entrepreneurs, researchers and students working diligently to solve global challenges. The Faculty of Science and Engineering is active on all four Brightlands campuses and this is where our impact reaches its peak. To give you an idea of what is happening on each campus: Sittard-Geleen is home to one of the largest chemistry and materials sites in Europe, while Venlo is a large hub for agri-food innovation. Maastricht is the site of the Health Campus, and Heerlen is the place to be for Smart Services.
Institute of Data Science performs applied research in data science and artificial intelligence by collaborating across disciplines, institutions, and sectors. The goal of our research is to accelerate scientific discovery, improve clinical care and well-being, and to strengthen communities. We specialise in machine learning, decentralised applications related to biomedical data, as well as promoting the FAIR (findable, accessible, interoperable, and reusable) principles. IDS is part of the Department of Advanced Computing Sciences.
The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics. Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 800 bachelor’s and master’s students in 3 specialized study programmes in Data Science and Artificial Intelligence.
Maastricht University (UM)
Paul-Henri Spaaklaan 1, 6229 EN, Maastricht
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