JOB DESCRIPTION

We are seeking a full-time PhD student to join a nationwide network of patients, doctors, biologists and data scientists called “NextGen-ImmunoDermatology” (https://ng-id.nl/) to implement personalized treatments of skin ailments using novel biomarkers.
As part of the NG-ID Biomarkers Development team, you will be working on cross-institutional data fusion, imaging-based quantitative multi-omics, and developing new machine/deep learning tools for biomarker discovery.

Your principal responsibility will be to fulfil all the requirements to obtain a PhD degree at Maastricht University including, but not limited, to the following :

• Writing several scientific publications which form the central corpus of your PhD thesis;
• Supporting NG-ID cross-institution data preparation, data fusion and making data Findable-Accessible-Interoperable and Re-usable (FAIR);
• Deploying artificial intelligence tools for quantitative analysis of imaging, including cytometric and mass spectrometry imaging;
• Developing and evaluating multi-omics prediction models;
• Working as an integral part of the wider NG-ID Biomarkers Development team to achieve the scientific objectives of the NG-ID network, as instructed by your PhD supervisor.

Since a PhD is primarily a research position, the candidate is not required to lecture or tutor, however such opportunities can be made available to the right candidate if so desired.
The successful candidate is expected to relocate to the city of Maastricht, the Netherlands, or to its immediate surrounding areas. The principal location of research will be : Clinical Data Science, Paul Henri Spaaklaan 1, 6229 EN, Maastricht, The Netherlands.

REQUIREMENTS

We seek candidates with the following essential qualifications:

• Master’s degree (or Dutch university equivalent) in data science, computer science, machine learning and deep learning, or else a very closely-related field to the aforementioned;
• Expertise with data processing, image analysis and artificial intelligence;
• Strong command of Python language including machine learning and deep learning skills;
• Excellent written and verbal communication skills;
• Proven record of collaborating effectively as part of multi-disciplinary teams;
• Strong interest in deploying AI into the healthcare research domain;
• Scientific research level of English proficiency (e.g., Cambridge English Proficiency level C1) - Dutch fluency (or willingness to learn the Dutch language) would be highly regarded but not strictly mandatory.

MAASTRICHT UNIVERSITY

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.

Please refer the Job description for details