Jobiglo

No results.

Postdoctoral Fellow - AI/ML-driven High-throughput Material Synthesis

ntu · NTU Main Campus

New
Senior 🇬🇧 English
Machine learning Optimization algorithms Electrochemistry

Job description

About the role

The School of Materials Science and Engineering at Nanyang Technological University (NTU) is recruiting a Postdoctoral Fellow for the AxCIS Lab project, a collaboration between NTU, NUS and BEARS. The work focuses on AI/ML-driven high-throughput, closed-loop experimentation to discover and optimise electrocatalytic materials for CO2 reduction, combining automated fabrication and characterisation workflows with agentic AI systems.

Key responsibilities

  • Run AI/ML-driven high-throughput, closed-loop experiments to accelerate the discovery, evaluation and optimisation of electrocatalytic materials for CO2 reduction.
  • Design and build automated workflows for materials fabrication and characterisation, integrating AI agents for autonomous experimentation and decision-making.
  • Develop multi-parameter optimisation strategies, including optimisation of in-situ catalyst regeneration.
  • Collaborate with computational researchers to validate predictive models using experimental feedback.
  • Analyse results, investigate structure-performance relationships and identify factors affecting electrocatalytic performance.
  • Publish in peer-reviewed journals and present findings at conferences and meetings.

Required profile

  • PhD in Chemistry, Materials Science and Engineering, Chemical Engineering or a closely related field.
  • Strong hands-on experience in AI/ML-driven high-throughput experiments, preferably in materials science, electrochemistry or related fields.
  • Demonstrated experience in multi-parameter optimisation, structure-performance analysis and/or mechanistic studies.
  • Research track record with peer-reviewed publications and the ability to plan and manage research independently.

Required skills

  • Experience with AI-agentic workflows for experimental automation and data analysis.
  • Familiarity with machine learning techniques, optimisation algorithms and data-driven approaches for materials discovery.
  • Strong analytical, problem-solving, teamwork and communication skills.

Questions fréquentes

Le salaire n'est pas communiqué publiquement par le recruteur. Vous pouvez postuler et négocier directement avec ntu.
Cliquez sur "Postuler maintenant" en haut de la page. Vous pouvez importer votre CV en 1 clic — Jobiglo extrait automatiquement vos informations et postule pour vous.
Source : ats:workday

Why are you reporting this job?

Thank you for your report. We will review this job.

Apply in 30 seconds

Enter your email to apply. An account will be created automatically.

Apply now →

By continuing, you accept our terms of use.

Already have an account? Login

A question about this job?

Ask it here: you will get the full job summary by e-mail, right away.

💬 Chat with us on Telegram

Published 6 hours ago

Expires 1 month from now

4 views · 0 interested

Boost your chances

Upload your CV — we will match you with relevant openings.

Analyzing your CV...

ntu

NTU Main Campus