HKUST-UoB Global Knowledge Network Awards
HKUST and University of Bristol (UoB) have identified each other as strategic partners to foster deep collaboration in research and education. The HKUST-UoB Global Knowledge Network Awards have been established to facilitate and support joint initiatives that will strengthen the two universities’ strategic priorities as well as develop multi-disciplinary cutting-edge research to create academic and societal impact. We invite proposals from researchers in all disciplines at HKUST and UoB.
Prospective applicants may sign up for the HKUST-UoB collaboration matchmaking to identify collaborators with similar research interests.
Call for Applications
Details
This scheme has been designed to support collaborative activities which are geared towards enhancing international research development and collaboration, leading towards joint research funding bids as well as other outcomes such as international co-authored publications. Activities funded through HKUST-UoB Global Knowledge Network Awards could therefore include international visits for co-production of research bids, or workshops/writing retreats to develop and inform bid development. The scheme can be used for either establishing or advancing international research collaborations; however, all activities must have plans for the sustainability, longevity and legacy of the collaboration built in.
In this round, up to five (5) proposals will be funded (each with two Principal Investigators: one from HKUST and one from UoB). Each successful proposal may receive up to the equivalent of HKD 40,000 from HKUST and GBP 4,000 from UoB for a total of approximately HKD 80,000/GBP 8,000 for the joint project.
Eligibility
Applications are open to any HKUST-eligible Principal Investigator and UoB-eligible Principal Investigator.
Eligible to submit proposals are HKUST and UoB full time faculty members. Emeritus and honorary staff are not eligible to apply as PI but may be members of the project team.
Graduate students, post-docs, and research assistants/associates are not eligible to apply as Principal Investigators, but they are welcome to be part of the team.
Application Submission
All applications must be submitted online via HKUST-UoB Global Knowledge Network Awards 2026 (Round 2) – Application Form, and applicants should complete/ prepare the below documents and submit via the application form.
- Project Details Form
- Budget Form
- CVs of the two Principal Investigators (2 pages max)
Applicants should refer to the Awards Guidelines for details on eligible budget items, application selection criteria, and reporting requirements.
Important Dates
| Applications close | 21 August 2026, 23:59 HKT/ 16:59 BST |
| Successful applicants notified | By 15 September 2026 |
| Latest date for projects to start | 28 September 2026 |
| Latest date for projects to end | 31 July 2027 |
| Final reports due | 31 August 2027 |
For Enquiries
The Hong Kong University of Science and Technology
Judy Ma, VPRDO
Email: gkn@ust.hk
University of Bristol
Jessica Carwardine, Global Partnerships
Email: Jessica.carwardine@bristol.ac.uk
Awarded Projects
- Soft Aerial Robotics With UoB - HKUST
HKUST PI: Rob SCHARFF, Division of Integrative Systems & Design
UoB PI: Bahadir KOCER, School of Civil, Aerospace and Design Engineering - HKUST-UoB Neuroscience Workshop 2026
HKUST PI: Guojun BU, Division of Life Science
UoB PI: Elek MOLNAR, School of Psychology and Neuroscience - Bio-inspired experimental investigation of self-similar modal properties
HKUST PI: Ilias DIMITRAKOPOILOS, Department of Civil & Environmental Engineering
UoB PI: Flavia DE LUCA, School of Civil, Aerospace and Design Engineering - A comparative study of the community impacts of recent civic university engagements and interventions in Hong Kong and the UK
HKUST PI: Wenjuan ZHENG, Division of Social Science
UoB PI: John MCWILLIAMS, School of Education/Global Engagement Division - 3D-aware Multi-modal Multi-task Learning from Limited Supervision
HKUST PI: Dan XU, Department of Computer Science & Engineering
UoB PI: Wei-Hong LI, School of Computer Science