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source

UNSW Sydney

PhD in Supramolecular Chemistry, Analytical Chemistry, and Machine Learning UNSW Sydney in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded for 3.5 years, including tuition fees and a competitive stipend.

Deadline

Oct 31, 2026

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Country

Australia

University

UNSW Sydney

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Keywords

Computer Science
Data Science
Chemistry
Materials Science
Biology
Analytical Chemistry
Mass Spectrometry
Chemical Synthesis
Supramolecular Chemistry
Robotics
Microfluidic
Statistics
ML

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About this position

PhD opportunity in supramolecular chemistry at UNSW Sydney, School of Chemistry, with Dr Nicole Rijs and Prof Jonathon Beves.

This interdisciplinary project sits at the intersection of analytical chemistry, synthetic chemistry, data science, and machine learning. The research focuses on reading out information from dynamic chemical systems and developing synthetic chemical systems that mirror behaviours of biological networks. A key technical component is the use of ion mobility mass spectrometry to monitor changes in synthetic chemical reaction networks, alongside advanced experimental workflows using robotics and microfluidics.

Ideal candidates will have a background in analytical chemistry, physical chemistry, mass spectrometry, synthetic chemistry, or data science/machine learning applied to chemistry. Experience with ion mobility mass spectrometry or machine learning on chemical datasets is helpful, but training will be provided.

The position is fully funded for 3.5 years and includes tuition fees plus a competitive stipend.

To apply, first check eligibility for PhD entry at UNSW Sydney, including degree and English language requirements. If eligible, send your CV and a 1-page statement of research interest to Dr Nicole Rijs. Informal inquiries are welcome.

Deadline: 2026-10-31.

Funding details

Fully funded for 3.5 years, including tuition fees and a competitive stipend.

What's required

Applicants should be eligible for entry to a PhD program at UNSW Sydney, including meeting degree and English language requirements. A background in analytical chemistry, physical chemistry, mass spectrometry, synthetic chemistry, data science or machine learning applied to chemistry, or automation/robotics in laboratory settings is preferred. Prior experience with ion mobility mass spectrometry or machine learning on chemical datasets is advantageous but not essential.

How to apply

First check your eligibility for PhD entry at UNSW Sydney, including degree and English language requirements. If eligible, email Dr Nicole Rijs with your CV and a 1-page statement of research interest. Informal inquiries are welcome.

More information can be found here

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