本期为大家推荐帝国理工学院、南洋理工大学2026最新奖学金项目介绍。
1、帝国理工学院
AI-Driven Antibody/Protein Design (computational)
Imperial College London | Department of Chemical Engineering
博导：Dr Pietro Sormanni
截止日期：全年可申
资助的博士项目（全球学生）
About the Project
Sormanni Lab, Department of Chemical Engineering, Imperial College London.
Our group develops data-driven technologies for rational antibody and protein design, combining AI/machine learning and laboratory directed-evolution and biophysics to create new or improved antibodies and proteins. We build open, usable tools and validate designs using high-throughput measurements and iterative design–build–test cycles in our lab or with academic and industrial collaborators (see www-sormanni.ch.cam.ac.uk).
There is genuine scope for each student to refine the project focus to their interests within the group’s aims.
AI for Antibody and Protein Design (Computational)
Start date: as soon as possible
Eligibility: open to Home and Overseas candidates.
Develop innovative AI methods that design therapeutic-grade antibody/protein sequences. Possible directions include:
- Foundation/repertoire models and structure-aware learning.
- Multi-objective optimisation for affinity, stability, solubility and immunogenicity.
- Active-learning loops that integrate experimental feedback.
- Interpretable models to reveal sequence–structure–function relationships and predict critical molecular traits.
You’ll work in Python and modern ML frameworks, access real experimental datasets from our lab and partners, and help translate models into practically useful designs for laboratory testing.
What we offer:
• A collaborative, multidisciplinary environment with access to computation (HPC/GPUs) and state-of-the-art biophysics.
• Supervision and mentoring with room to shape your project.
• Opportunities to publish tools/datasets and to engage with industry and academic collaborators.
• Training across techniques you do not yet know (computational ↔ experimental), tailored to your background.
What we expect:
- enjoys coding (Python), quantitative thinking, and machine learning; interested in proteins/antibodies. Prior ML experience is welcome but not essential if motivation is strong.
- motivation, curiosity, rigour, clear communication, willingness to learn outside your comfort zone, and a strong drive to become an independent scientist.
Funding Notes
AI for Antibody and Protein Design (Computational) open to Home and Overseas candidates.
2、南洋理工大学
Carbon dynamics of peatlands
Nanyang Technological University | Asian School of the Environment
截止日期：全年可申
资助的博士项目（全球学生）
About the Project
Study how peatlands form and how they are impacted by changes in drainage networks; how peatland growth unfolds in space and time; how to apply insights about hydrogeomorphic processes in wetlands to halt or reverse greenhouse gas emissions in peatlands. Balance between modeling / numerical work and field work to be developed with the student.
For further details about my lab and the PhD programme in the Asian School of the Environment in Singapore, please visit https://dynamicpeatlands.org/joining-the-lab.
Funding Notes
Fully funded 4-year PhD
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