Fully Funded PhD Positions in AI-driven RNA-interacting Molecule Design at ANU (MACSYS) The Australian National University in Australia

Two fully funded PhD positions are available at the ARC Centre of Excellence in Mathematical Analysis of Cellular Systems (MACSYS) node at The Australian National University (ANU). These positions focus on the AI-driven design of RNA-interacting molecules, leveraging modern artificial intelligence techniques such as RNA-aware deep learning, generative models, and agentic reasoning. The research aims to predict and engineer molecules that can specifically target RNA, supporting the development of new tools for cell biology, biotechnology, and future RNA therapeutics.

The successful candidates will join a vibrant, multidisciplinary team at the Shine-Dalgarno Centre for RNA Innovation, working under the supervision of Professor Eduardo Eyras, a leading expert in computational RNA biology. The MACSYS Centre promotes equity, diversity, and inclusion, offering a supportive and family-friendly work environment. Students benefit from generous stipends, top-up scholarships, mentoring, skill development, and opportunities for collaboration with industry and international partners. There are also financial support programs for those with caregiving responsibilities.

Applicants should have a strong academic background in computational biology, computer science, bioinformatics, or related fields, and a keen interest or experience in AI, deep learning, or molecular biology. Admission to the PhD program requires meeting ANU's entry requirements. The application process involves submitting a cover letter, CV, and academic transcript to Professor Eduardo Eyras. Applications are open until the positions are filled.

For more information about computational multi-omics projects and RNA genomics postgraduate opportunities, visit the provided links. The MACSYS Centre also offers opportunities for research staff, professional staff, and associate investigators, fostering a collaborative and innovative research environment.