Postdoctoral Fellow, Faculty of Dentistry

10 hours ago

Singapore National University of Singapore Full time

Overview Postdoctoral Fellow, Faculty of Dentistry — National University of Singapore. The role requires a 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. Prior hands‐on experience in production, characterization techniques of materials, and cell culture is required; this is not a data‐science‐only position. 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 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. Advanced skills in Python programming for machine learning and artificial intelligence, with emphasis on models such as LSTM and other time‐series analyses. 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. Practical experience operating advanced microscopy equipment (e.g., SEM and confocal microscopes) to support material and cell analysis. Proven track record of publishing peer‐reviewed research papers that bridge machine learning and biomaterials. Employment Details Seniority level: Not Applicable Employment type: Full-time Job function: Research, Analyst, and Information Technology Industries: Higher Education, Education Administration Programs, and Strategic Management Services The successful candidate will be offered a competitive remuneration package along with benefits designed 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 contribute to the field of dental biomaterials. #J-18808-Ljbffr

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