Postdoctoral Fellow, Faculty of Dentistry

We are looking for a dedicated and highly skilled Postdoctoral Fellow 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.

• A Bachelor’s degree in Dentistry or Dental Technology is mandatory, providing a foundational understanding essential for biomaterial research in dental applications.
• A doctoral degree (PhD) in Dentistry, Biomedical Engineering, Microbiology, or a scientifically related discipline, underscoring expertise in both biological and engineering aspects of biomaterials.
• Demonstrated proficiency and autonomy in laboratory techniques for the characterization of dental biomaterials’ physical, mechanical, and biological properties are essential to succeed in this role.
• Advanced skills in Python programming for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive materials.
• Experience in mechanical testing methodologies, including wear assessment, fracture strength evaluation, and fatigue testing, alongside chemical analysis techniques like ion leaching and degradation studies.
• Expertise in mammalian cell culture and molecular biology techniques, including quantitative PCR (qPCR), Western blotting, cell proliferation assays, and mineralization assays, is required to investigate cell–material interactions comprehensively.
• Practical experience operating advanced microscopy equipment, such as scanning electron microscopes (SEM) and confocal microscopes, to support detailed material and cell analysis.
• A proven track record of publishing peer-reviewed research papers that bridge the domains of machine learning and biomaterials, demonstrating the candidate’s ability to contribute original knowledge to the scientific community.

The successful candidate will be offered a competitive remuneration package along with benefits tailored to support professional growth and well-being. Our institution is committed to fostering an inclusive and supportive research environment where all team members can thrive and make impactful contributions to the field of dental biomaterials.