Project Officer (Nanomaterials)

Nanyang Technological University Singapore; Singapore; On-site; SGD 42,000 - 64,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a Project Officer to support machine learning-driven nanoparticle-based nanosensing research. The role focuses on designing receptor-functionalized nanoparticles, collecting and analyzing spectroscopic data, and developing ML frameworks for receptor optimization.

The ideal candidate has a 3+ year track record in nanomaterial synthesis, SERS, and computational methods, with strong communication in an interdisciplinary team.

Qualifications

• Bachelor’s degree in chemistry, materials science, or a related discipline.
• Min 3 years of relevant research experience in nanomaterial synthesis, characterization, surface functionalization, and/or applications in molecular sensing.
• Experience with spectroscopic techniques, particularly surface-enhanced Raman spectroscopy, including analysis/interpretation of data.
• Familiarity with computational approaches for molecular interactions (DFT).
• Familiarity with machine learning approaches applied to spectroscopic datasets.
• Strong communication and interdisciplinary collaboration skills.

Responsibilities

• Design and functionalize nanoparticles with receptors for array-based nanosensing.
• Perform spectroscopic measurements, including SERS, to study interactions.
• Create a spectroscopic database across receptor–analyte pairs.
• Process, analyze, and interpret spectroscopic data.
• Explore receptor–analyte interactions with in silico calculations (DFT).
• Apply ML to evaluate and optimize receptor combos for tasks.
• Assist PI with preparing research papers and outputs.

Skills

SERS

Machine learning

Nanomaterials synthesis

Data analysis

Communication

Education

Bachelor’s degree in chemistry or materials science

Tools

SERS instrumentation

DFT simulations

Job description

The Institute for Digital Molecular Analytics and Science (IDMxS), officially launched on 1 December 2022, is a Research Centre of Excellence (RCE) supported by a total investment of around S$160 million over 10 years. The key objective is to support efforts on interfacing the biological and living world with the world of information technology and data science. For more details, please view https://idmxs.org/.

We are looking for a Project Officer (PO) to support the development of machine learning-driven, array-based nanosensors for detecting and differentiating complex, multi-component mixtures. The role will focus on the design and fabrication of receptor-functionalized nanoparticles, the collection and analysis of spectroscopic data across multiple receptor-analyte pairs, the investigation of underlying receptor-analyte interactions, and the development of suitable machine learning frameworks for the selection and optimization of receptor combinations for different analytical tasks.

Key Responsibilities

• Design and functionalize nanoparticles with different molecular receptors for array-based nanosensing.
• Perform spectroscopic measurements, including surface-enhanced Raman scattering (SERS), to investigate receptor-analyte interactions.
• Establish a spectroscopic database comprising measurements across multiple receptor-analyte pairs.
• Perform data processing, analysis, and interpretation of spectroscopic measurements.
• Investigate underlying receptor-analyte interactions with the aid of in silico calculations, including density functional theory (DFT) simulations.
• Apply machine learning approaches to evaluate, select, and optimize receptor combinations for different analytical tasks.
• Assist the Principal Investigator with the preparation of research papers and other scientific outputs.

Requirements

• Bachelor’s degree in chemistry, materials science, or a related discipline.
• Min 3 years of relevant research experience in nanomaterial synthesis, characterization, surface functionalization, and/or applications in molecular sensing.
• Experience with spectroscopic techniques, particularly surface-enhanced Raman spectroscopy, including the analysis and interpretation of spectroscopic data.
• Familiarity with computational approaches for investigating molecular interactions, such as density functional theory (DFT) simulations.
• Familiarity with machine learning approaches applied to spectroscopic datasets.
• Good communication skills, with the ability to work effectively in an interdisciplinary research environment.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU