Postdoctoral Fellow, Faculty of Dentistry
15 hours ago
Interested applicants are invited to apply directly at the NUS Career Portal
Your application will be processed only if you apply via NUS Career Portal
We regret that only shortlisted candidates will be notified.
Job DescriptionWe 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.
Tell employers what skills you haveMachine Learning
Composition
Artificial Intelligence
Microscopy
Biomedical Engineering
Characterization
Tissue Culture
Molecular Biology
Methodologies
Laboratory
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