Unlock Research Opportunities

Unlock Your Research Potential

The Summer Research Program is a unique opportunity for undergraduate students to engage in research projects during the summer of 2025/2026. This program aims to immerse highly talented undergraduates in the research process, enrich their educational journey, and inspire a deeper interest in research or related fields.

Participants will gain invaluable experience by working alongside esteemed supervisors on meaningful research projects. They will have the chance to uncover novel biological insights, develop their skills, and determine if a research career is right for them.

The program spans 8-10 weeks, offering 7 scholarship positions. Each scholarship is valued at up to $5,000 - $6,250, with funding allocated at a rate of $625 per week based on the program's duration.

Our research projects focus on various areas, including computational biology, machine learning, data analysis, and more. We encourage you to seize this opportunity to enhance your academic and professional development.

• Investigating Fetal-Like Properties of Malignant Tumors using Single-Cell Data and Machine Learning: This project involves using transcriptomic data to conduct computational biology research and build a relevant statistical model that further elucidates the fetal-like properties of cancer tissues.
• Functional Annotation of Prostate Cancer Risk Loci using Machine Learning Models of Multi-Omic Data from Prostate Stromal Cells: In this project, you will use multi-omic datasets to identify fibroblast-specific genomic regulatory regions and determine their target genes.
• Enhancing Reproducibility and Scalability in Mass Spec Imaging Data Analysis through Optimized Workflow Management: The student will work on enhancing the utility of our pipeline through designing and implementing a comprehensive workflow management system.
• Visualisation of Logic-Derived Annotation Space for Structural Variants Implicated in Genetic Disorders: This project focuses on identifying two categories of hidden mechanisms: metabolic resistance patterns reported primarily in Chinese literature, and combination therapy synergies unique to Asian standard-of-care.
• How Hard Can Immune Cells Punch?: We want you to conduct experiments that use our technique to watch the cell types that weaponise force: T Cells and NK Cells.
• Unveiling Hidden Mechanisms in Solid Tumor CAR-T Therapy: This project maps the global CAR-T landscape for solid tumours through bilingual analysis of English and Chinese clinical literature, complementing laboratory CAR-T expansion and phenotyping work.
• Modeling Circadian Dysregulation in Triple-Negative Breast Cancer using Machine Learning: Using temporal scRNA-seq datasets of CSCs and non-CSCs, we will apply machine learning-based trajectory and topological analyses to identify circadian targets that can be therapeutically exploited to resensitise CSCs to existing therapy.

Basic coding skills and some molecular biology knowledge are preferred. Familiarity with R, statistics, and Python programming languages is also beneficial. A love of biology and math is essential, as well as an interest in solving the biggest unsolved mysteries in biology.

Native proficiency in English and Chinese is required for certain projects. Experience with visualisation engines, simple web apps, and basic knowledge in biology or genetics are also desirable.

Participants will gain invaluable experience, develop their skills, and determine if a research career is right for them. They will also have the chance to work alongside esteemed supervisors, collaborate with peers, and contribute to meaningful research projects.

Applicants must submit both Parts of the application via the Garvan Careers Site/Workday. Only complete applications will be assessed.