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$72k – $207k per year (Estimated)
Location
In office (Singapore)
Seniority
Principal
Employment
Full-Time
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Headquartered in Singapore, Nanyang Technological University is a premier public research university recognized globally for its excellence in science, engineering, business, and medicine. The institution features state-of-the-art research facilities and interdisciplinary programs dedicated to driving technological innovation, artificial intelligence, and sustainability. Consistently ranked among the world's top academic institutions, it nurtures future leaders and fosters impactful collaborative research across global industries.

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.

We are looking for a Research Fellow to advance MOF-based electrochemical and CO2 removal research. The role will focus on:

  • 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

Key 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

Job Requirements:

  • PhD in Chemistry/Materials Science/Physics

  • Candidates with strong background in Materials chemistry/Physical chemistry

  • Experience with MOF synthesis, energy storage system or electrochemical system

  • 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.

Hiring Institution: NTU
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