Research Fellow (MOF)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University (NTU) invites applications for a Research Fellow to advance MOF-based electrochemical and CO2 removal research within the School of Materials Science and Engineering.

The role involves MOF synthesis, interfacial electrochemistry, simulation of scaled processes, and collaboration with ML groups; candidates with PhD in related fields and strong publication records are preferred.

Qualifications

• Candidates with strong background in Materials chemistry/Physical chemistry.
• Experience with MOF synthesis, energy storage system or electrochemical system.
• PhD in Chemistry/Materials Science/Physics.
• Encourage initiating activities on MOF development, devising, and analytical process.
• Experience in machine learning will be preferred.
• Good oral and written communication skills.
• Candidates with strong publication/patent records will be preferred.

Responsibilities

• Electrochemical process on interface phenomena.
• MOF synthesis, testing under different conditions.
• Simulation of scaled up process.
• Interface with machine learning group on database set up.
• CO2 removal process.

Skills

Materials chemistry

Physical chemistry

Machine learning

Communication skills

Publications patents

Education

PhD in Chemistry/Materials Science/Physics

Job description

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

Key Responsibilities:

We are looking for aResearch Fellow to advance MOF‑based electrochemical and CO2 removal research.

• Electrochemical process on interface phenomena
• MOF synthesis, testing under different conditions
• Simulation of scaled up process.
• Interface with machine learning group on database set up
• CO2 removal process

Job Requirements:

• Candidates with strong background in Materials chemistry/Physical chemistry
• Experience with MOF synthesis, energy storage system or electrochemical system
• PhD in Chemistry/Materials Science/Physics
• Encourage initiating activities on MOF development, devising, and analytical process
• Experience in machine learning will be preferred
• Good oral and written communication skills
• Candidates with strong publication/patent records will be preferred

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