AI-Driven Cryo-EM for Small Protein Design in Cellular Homeostasis Regulation
A joint PhD opportunity combining artificial intelligence and cryo-electron microscopy to engineer small proteins targeting cellular homeostasis.
Best for:Best for PhD candidates with expertise in structural biology, cryo-EM, or computational protein design, interested in AI-driven biomedical research.
Overview
This joint PhD position between a French institution and the University of Melbourne focuses on developing and evaluating small proteins using AI-based cryo-electron microscopy (cryo-EM). The project aims to regulate the master regulator of cellular homeostasis, offering a cutting-edge interdisciplinary approach at the intersection of structural biology, bioinformatics, and computational design. Applicants will conduct research in a collaborative environment, leveraging advanced imaging techniques and machine learning to advance protein engineering. The role is ideal for candidates with a strong background in structural biology, biochemistry, or computational biology, seeking to contribute to translational research with potential biomedical applications.
What you'll do
- Develop and apply AI-based computational models to design small proteins targeting cellular homeostasis regulators.
- Perform cryo-EM experiments to characterize the structure and function of engineered proteins.
- Collaborate with interdisciplinary teams to integrate computational predictions with experimental validation.
- Analyze and interpret structural and functional data to refine protein designs.
- Publish findings in high-impact scientific journals and present results at international conferences.
- Contribute to collaborative research projects between French and Australian institutions.
- Maintain detailed records of experimental procedures, data, and results for reproducibility.
Requirements
Degree required: Master’s degree (or equivalent) in Structural Biology, Biochemistry, Computational Biology, Bioengineering, or a related field.
Degree offered: PhD
Language: English proficiency (no specific test score mentioned); French proficiency may be advantageous but not strictly required.
Instruction: English
- Proven experience in structural biology techniques, including cryo-EM or X-ray crystallography.
- Strong background in computational biology or bioinformatics, including programming skills (e.g., Python, R).
- Familiarity with AI/ML methods applied to biological data.
- Ability to conduct independent research and publish results in peer-reviewed journals.
- Collaborative mindset with experience working in interdisciplinary teams.
- Open to international applicants.
- No specific nationality restrictions mentioned.
- No age or residency restrictions specified.
Funding & terms
How to apply
Deadline: 2026-11-01
Applicants must submit their application through the Campus France portal for doctoral programmes. Include a detailed research proposal, CV, academic transcripts, and two letters of recommendation. Contact the supervisory team for further instructions on joint application procedures.
- Curriculum Vitae (CV)
- Academic transcripts (Bachelor’s and Master’s degrees)
- Research proposal or statement of purpose
- Two letters of recommendation
- Proof of English proficiency (if applicable)
Contact
Unspecified Contact (Campus France)· PhD Admissions Coordinator
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