Ph.D. position vacant to conduct the research project, titled ‘DESIRE-2-B : Deciphering dental pulp interaction with biomaterials through bioprinted tissue models’ We are developing an interdisciplinary approach to transform the way we study the interaction between dental biomaterials and oral tissues. Our proposed strategy focuses on creating bioprinted tissue model serving as a platform for biomaterial testing, as well as a bioactive dental material capable of promoting repair and regeneration of the pulp-dentin complex. This innovative project addresses a significant challenge in oral health, particularly tooth decay and pulp infection, and aims to overcome the current limitations of existing tissue-engineering strategies.Join our interdisciplinary network at KU Leuven, consisting of the BIOMAT (https : / / gbiomed.kuleuven.be / biomat) and OMFS-IMPATH research groups.The BIOMAT research group focuses on a broad range of BIOMATERIALS with orofacial application, and encompasses fundamental material research, biological cell culture, micro-biological and animal research, as well as applied laboratory, translational and clinical research. BIOMAT intends to improve dental adhesive technology for diverse adhesive restorative procedures, to develop bioactive dental materials with anti-bacterial and remineralization potential, to innovate endodontology by developing biomaterials for pulpal repair and pulp regeneration, to advance dental ceramic material technology to be processed by subtractive and additive manufacturing for both tooth restoration and replacement (implants), to improve osseointegration of dental implants, while also assessing biocompatibility of dental (bio)materials. The OMFS-IMPATH Group (Oral and Maxillofacial Surgery - Imaging and pathology) The OMFS-IMPATH research group relates to the development and validation of surgical tools and image-based solutions to advance in oromaxillofacial surgery, with an ultimate aim to obtain an optimized treatment outcome while minimizing the peri- and postsurgical risks, such as neurovascular trauma. In order to achieve this, global integration of digital datasets will enable the creation of a virtual replica of the patient. This may allow full simulation of the surgery as well as of its expected outcome. While the latter may help to further modify and finetune the planned surgery, the former integrated virtual data may allow presurgical simulations, development of image-based surgical tools, and navigation.