Postdoctoral Fellow, Faculty of Dentistry

Postdoctoral Fellow, Faculty of Dentistry

University-Level Unit: Dentistry

Faculty/Department-Level Unit: Dean's Office (Dentistry)

Employee Category: Research Staff

Location: Kent Ridge Campus

Posting Start Date: 13/04/2026

Job Description

We seek a PhD with a proven dual-mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial behaviour for use in dentistry. This is not a data-science-only position; prior hands-on experience in the production, characterization techniques of materials, and cell culture is required.

Core Responsibilities

• Develop and implement Python-based AI/ML models (e.g. LSTM or time-series models) to predict long-term properties of bioactive materials.
• Conduct independent testing on restorative and bioactive materials under simulated oral conditions.
• Characterize independently biomaterials composition, alkalinity, mechanical properties.
• Characterize independently biomaterials' bioactivity using mammalian tissue culture assays to assess cell–material interactions.
• Integrate experimental and computational workflows; analyse, document, and report results.
• Prepare scientific manuscripts and grant proposals.

Qualifications

• Bachelor in Dentistry or Bachelor in Dental Technology (mandatory).
• PhD in Dentistry, Biomedical Engineering, Microbiology, or a related scientific field.
• Proficiency and independence in laboratory characterization of the physical, mechanical, and biological properties of biomaterials (mandatory).
• Proficiency and independence in developing Python-based machine learning / artificial intelligence models (e.g., LSTM or time-series models) to predict the long-term properties of bioactive materials (mandatory).
• Proficiency and independence in mechanical testing (e.g., wear, fracture strength, fatigue) and characterization of chemical properties (ion leaching, degradation)
• Proficiency and independence in cell culture and molecular techniques, including qPCR, Western blotting, proliferation, and mineralization assays (mandatory).
• Experience in operating scanning electron microscope and confocal microscope.
• Demonstrated experience in writing original research papers in the field of machine learning and biomaterials.

The selected candidate will be offered a competitive salary and benefits.