PhD Candidate: Molecular Interactions: This scholarship aims to support a candidate for a PhD project focusing on the prediction of interactions between ribonucleic acid (RNA) and other molecules using advanced AI technologies. The project seeks to enhance understanding of RNA interactions in disease mechanisms and improve therapeutic strategies.
PhD Candidate: Prediction of Molecular Interactions with RNA Using AI
Designation
PhD Candidate
Table
| Criteria | Details |
|---|---|
| Research Area | Molecular Biology, AI, Machine Learning, Therapeutic Discovery |
| Location | The John Curtin School of Medical Research, ANU; RNAfold.AI Pty Ltd, RNA Institute at UNSW |
| Eligibility/Qualification | – Essential: Critical thinking, logical design of research, coding implementation, interest in applied research. – Desirable: Double degree in Computer Science, Mathematics, Data Science, or related subjects with Biology, Biochemistry, or Biophysics; knowledge of Machine Learning. |
| Description | This project will develop deep-learning models to predict RNA interactions, potentially leading to novel therapies and optimized RNA targeting methodologies. The candidate will engage in research that has both academic and commercial implications. |
| How to Apply | Interested candidates should send their applications, including CV and cover letter, to the contact emails provided for the university and CSIRO supervisors. |
| Last Date for Apply | Open until position filled |
Research Area
This scholarship focuses on the intersection of molecular biology and artificial intelligence, especially in designing therapeutic strategies based on RNA interactions.
Location
The primary location for the scholarship holder will be at:
- The John Curtin School of Medical Research, Australian National University, Acton ACT 2601, Canberra.
- Industry engagement at RNAfold.AI Pty Ltd, RNA Institute at the University of New South Wales, Kensington NSW 2033.
Eligibility/Qualification
- Essential Skills:
- Capacity for critical thinking and logical design of research plans.
- Ability to develop new theoretical approaches and implement them as working software.
- Keen interest in applying innovative ideas to tackle real-world problems.
- Desirable Skills:
- A double degree combining experience in Computer Science, Mathematics, Data Science, or related fields with Biology, Biochemistry, or Biophysics.
- Practical knowledge of Machine Learning and its applications in molecular biology.
Description
The scholarship supports research to decode RNA interactions related to disease mechanisms and explore novel therapeutic modalities. The work will improve current therapies targeting RNA and enhance the design of new therapies. Successful candidates will be part of a multidisciplinary team and contribute to significant scientific advancements.
How to Apply
Candidates interested in this opportunity should contact the supervisors at the following email addresses:
- University Supervisor: Eduardo Eyras (eduardo.eyras@anu.edu.au)
- CSIRO Supervisor: Denis Bauer (Denis.Bauer@csiro.au)
- Industry Supervisor: Alex Gavryushkin (alex@rnafold.ai)
Applications should include a CV and a cover letter highlighting relevant experience and research interests.
Last Date for Apply
The application process is open until the position is filled. Interested candidates are encouraged to apply promptly.
