Fonction
We are looking for a highly motivated candidate with a PhD in Computer Science, Engineering, Physics, Mathematics, or equivalent, with a strong background in artificial intelligence or computational modelling, to conduct research in Generative and Multimodal AI in Oncology, and support other ongoing research projects in the Data Science & AI Research Unit. The activities will focus on all aspects of data science; from supporting the creation of structured databases, to the development and validation of image analysis pipelines using machine- and deep learning. The work will be carried out at Institut Jules Bordet, on the Erasme (Brussels, Belgium) in the Data Science & AI Research Unit of the Hopital Universitaire de Bruxelles. More information on the research unit can be found on the laboratory website: https://mplab-hub.be/.
Profil
We are looking for a highly motivated, pro-active and creative researcher who can work in a transdisciplinary environment composed of data scientists, computer scientists, bioinformaticians, and clinicians. The candidate must be able to work independently and will be expected to develop and lead their own projects. They will also mentor junior researchers, and might be expected to contribute to teaching activities. The candidate must:
- Hold a PhD in computer science, engineering, biomedical science, physics, mathematics, or a related field.
- Have in-depth experience in artificial intelligence (machine and deep learning) and/or computational modelling, ideally with multimodal data including digital pathology and other ‘omics’.
- Demonstrate a publication record in peer-reviewed journals.
- Have good communication skills, both verbal and written.
- Have strong organizational skills to manage the (international and inter-disciplinary) collaborations in this project.
- Experience in writing succesful grant applications will be considered as an asset.
While some flexibility is possible, we expect team members to be on-site at least 80% of the time during the first year to support collaboration and knowledge sharing.
Offre
Application procedure
PhD students soon to be obtaining their PhD degree are welcome to apply provided that they will have obtained the degree before the start of the position. The applicant should provide a motivation letter, a comprehensive academic curriculum vitae including a 1-2 page summary of previous research work and the name and e-mail addresses of two reference persons by e-mail to Dr. Ir. Jennifer Dhont ([email protected]) by 15th of July the latest. Selected candidates will then be contacted in the following weeks.
Funding
Initial funding is available for 2 years, with possible extension for 2 additional years. The salary will be determined based on experience in accordance with HUB’s pay scale. Start date: 1st of October, but there is some possibility to start earlier or later.