Post-doctoral Fellow/ Senior Research Assistant in the Division of Restorative Dental Sciences, The Faculty of Dentistry (Ref.: 533267)
We now invite applications for the captioned post.
Duties and Responsibilities
The appointee will join a multidisciplinary team led by the Principal Investigator to develop AI‐driven navigation systems in robotic implant surgery. The duties include but not limited to:
designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis;
developing unity‐based visualization and user-interaction interfaces, including 3D modelling, physics integration, and cross-platform deployment (PC, mobile, AR);
integrating and deploying AR navigation applications on Microsoft HoloLens, covering spatial mapping, SLAM pipelines, Mixed Reality Toolkit customization, and performance tuning under hardware constraints;
collaborating on robot motion planning, path optimization, and sensor data processing algorithms; implementing and testing ROS nodes, embedded controllers, and closed-loop control routines on prototype hardware;
preparing technical reports, delivering presentations to stakeholders, and contributing to journal and conference publications; and
supporting project coordination, mentoring junior research staff, and liaising with clinical or industrial partners for system integration and field trials. Qualifications and Experience
possess a Ph.D. degree in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline;
demonstrate strong programming proficiency in C++ and/or C#, with a solid grasp of OOP, data structures, algorithms, and debugging tools;
familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open-source medical imaging computing platform like Slicer3D;
possess hands-on experience with Unity 3D development, including rendering, animation, UI systems, optimization, and cross-platform builds;
experience in developing and deploying AR applications on Microsoft HoloLens, including MRTK or equivalent frameworks, SLAM integration, and user-interface design;
show a strong theoretical and practical background in robotics and automation—specifically motion planning, path optimization, sensor fusion, or robot learning—ideally with ROS or embedded systems experience;
proficient in written and spoken English;
good communication, problem-solving, and teamwork skills are essential;
self–motivation and the ability to meet tight project deadlines are required; and
experience with medical device protocols, clinical validation, or collaborations with healthcare professionals will be advantageous. Those with lower qualifications may be appointed as Senior Research Assistant.
What We Offer
The appointment will commence as soon as possible on a temporary basis for 1 year with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.
How to Apply
Applicants who have responded to the previous advertisement (Ref: 532804) need not re-apply.