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Australian National University

Top university

PhD Positions in AI-driven Whole Cell Modelling and RNA-interacting Molecules at Australian National University Australian National University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

The positions are fully funded for 3.5 years. Funding covers tuition and provides a stipend (exact amount not specified).

Deadline

Expired

Country flag

Country

Australia

University

Australian National University

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Keywords

Computer Science
Machine Learning
Biotechnology
Biology
Mathematics
Computational Biology
Synthetic Biology

About this position

The ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS) at the Australian National University (ANU) is offering two fully funded, 3.5-year PhD positions for 2026. These positions focus on cutting-edge research at the intersection of artificial intelligence, computational biology, and mathematical modelling, with the goal of advancing whole cell modelling and the design of RNA-interacting molecules.

Project 1 explores hybrid whole cell modelling, agentic AI virtual cells, genomic and RNA foundation models, and multi-omics modelling. The research aims to combine mechanistic cell models with modern machine learning to deliver robust predictions, integrate molecular foundation models with single-cell multi-omics data, train genome/RNA foundation models, and fuse various omics data to infer cell states and dynamics. This project is ideal for students with backgrounds in computer science, mathematics, or computational biology, especially those with strong machine learning and mathematical modelling skills.

Project 2 focuses on AI-driven decoding and design of RNA-interacting molecules. The goal is to develop integrated AI systems for biomedicine to decode and engineer molecules that specifically target RNA, addressing key challenges in cell biology, biotechnology, and RNA-targeting therapeutics. The research leverages RNA-aware deep learning models, diffusion-based molecular generation, and agentic reasoning to design synthetic RNA-interacting molecules, incorporating multimodal training and domain-specific biological constraints.

Both projects are supervised by leading academics at ANU: Associate Professor Jiayu (Jean) Wen and Professor Eduardo Eyras. The positions are fully funded, covering tuition and providing a stipend for 3.5 years. Application rounds are open for April (international & domestic), August (international), and October (domestic) 2026. Interested candidates should contact the relevant supervisor with a cover letter (email format acceptable), CV, and academic transcripts. For more information and application instructions, visit the MACSYS website.

Key research areas include AI-driven whole cell modelling, hybrid cell modelling, agentic AI, genomic foundation models, multi-omics modelling, RNA-interacting molecules, computational biology, machine learning, synthetic biology, and biotechnology.

Funding details

The positions are fully funded for 3.5 years. Funding covers tuition and provides a stipend (exact amount not specified).

What's required

Applicants should have a background in computer science, mathematics, or computational biology, with strong machine learning and mathematical modelling skills. Candidates must submit a cover letter (email format acceptable), CV, and academic transcripts. No specific GPA or language test requirements are mentioned, but strong academic credentials and research interest in the listed areas are expected.

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Professors

Associate Professor

University Name
Country flag

Australia

Research Interests

Synthetic Biology

Machine Learning

Biotechnology

Computational Biology

Biology

Professor

University Name
Country flag

Australia

Research Interests

Cell Biology

Biochemistry

Next-generation Sequencing

Rna Biology

Transcriptomic