Job Title: Postdoctal Fellow, Faculty of Dentistry
University-Level Unit: Dentistry
Faculty/Department-Level Unit: Dean's Office (Dentistry)
Employee Category: Research Staff
Location_ONB: 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.
