帝国理工学院、格拉斯哥大学PhD奖学金项目信息！

本期为大家推荐帝国理工学院、格拉斯哥大学2026最新奖学金项目介绍。

1、帝国理工学院

PhD studentship in the field of Multimodal Representation Learning in Biological Data

Imperial College London | Department of Electrical and Electronic Engineering

博导： Dr Chen Qin

截止日期： May 31, 2025 周六

资助的博士项目（全球学生）

About the Project

Applications are invited for aPhD studentship in the field of Multimodal Representation Learning in Biological Data, which will be jointly hosted by Department of Electrical and Electronic Engineering and the College’s new I-X initiative. Home and Overseas applicants are eligible for this studentship. It is especially targeted at PhD applicants with an interest in artificial intelligence and medicine. Prospective students will also join the Biomedical Image Analysis Group.

The PhD research will explore the important topics of multimodal representation learning in biological data. Particularly, the research project will focus on finding the synergy between artificial intelligence (AI) and the large-scale multimodal high-content screening data. It will create innovative multimodal representation learning techniques that are beyond supervised learning, for realizing more efficient and accurate inference of biological relationships amongst genetic and chemical perturbations. The research is at the intersection of artificial intelligence and medicine and has the potential to make a widespread impact on the future of AI-enabled drug discovery and ultimately bring significant benefits to the pharmacy industry.

Department of Electrical and Electronic Engineering has a long and proud history of world-class research and innovation and is at the forefront of tackling the most urgent global challenges in energy, healthcare, smart technology, and communications. It ranked the 1st in the UK (Engineering) in REF 2021 based on the proportion of world-leading research (4*).

I-X is a new collaborative environment for research, education, and entrepreneurship across the areas of artificial intelligence, machine learning, data science, statistics, and digital technologies. The goal of I-X is to realise new models for research, education, and entrepreneurship that go beyond traditional siloes imposed by academic disciplines, thus forming a blueprint for the university of the future. I-X benefits from a strategic investment by the College, which includes new facilities on Imperial’s White City and South Kensington campuses.

Funding:

The PhD studentship includes a tax-free stipend equal to the UKRI rate for London (£21,237 in 2024-25) for three and a half years, tuition fees at either Home or Overseas level, and support of research expenses and travel to collaborators and conferences.

Qualification:

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science, mathematics or engineering. Applicants should also meet the minimum requirement as outlined in the guidance on qualifications. Applicants must be fluent in spoken and written English. Good team-working, observational and communication skills are essential. Experience in one or more of the following areas is desired: machine learning, deep learning, mathematical modelling, and software engineering.

How to apply:

To Apply, please choose Electrical and Electronic Engineering Research Program and Intelligent Systems and Networks Group then indicate Dr Chen Qin as a potential supervisor when making the application.

Early applications are encouraged. The recruitment is on a rolling basis. The post is preferred for candidates who can start in July or September 2025. For further details of the post, please contact Dr Chen Qin at c.qin15@imperial.ac.uk. For queries regarding the application process, please contact eee.pgadmissions@imperial.ac.uk.

Closing date: 31st May 2025

2、格拉斯哥大学

PhD at UK Hub for Quantum-Enabled Position, Navigation, and Timing (QEPNT)

博导： Prof Eyad Elkord

截止日期：May 14, 2025 周三

资助的博士项目（全球学生）

About the project

Expressions of interest are invited for a fully funded 3.5 year studentship based in the transformative Quantum Enabled Position, Navigation and Timing research Hub to overcome the challenges of miniaturising robust quantum sensors for a wide variety of end-use applications. Successful candidates will be based at the University of Glasgow in the College of Science & Engineering.

The University of Glasgow is home to an internationally-leading research community, an innovative graduate training programme and a long-standing reputation for excellent education, making it a vibrant environment for postgraduate study. Glasgow has been voted one of the UK’s friendliest and most liveable cities.

This PhD position aligns with the UK National Quantum Technology Programme, contributing directly to the EPSRC funded UK Hub for Quantum Enabled Position, Navigation, and Timing (QEPNT). Mission 4 of the £2.5Bn UK National Quantum Strategy states the intent of the UK that ‘By 2030, quantum navigation systems, including clocks, will be deployed on aircraft, providing next-generation accuracy for resilience that is independent of satellite signals’. QEPNT was launched in December 2024 to support the goals of this mission, bringing together 10 academic partners and over 30 UK companies, creating a vibrant ecosystem of innovation and collaboration.

Why This Research Matters

Disruption of GNSS signals, whether through jamming or spoofing, could result in a £1Bn/day economic impact.Developing next-generation systems based on quantum technology with significantly improved performance that meet UK national objectives is the goal of the PhD.

Research Objectives:

• Device Modelling: Design components for integrating atomic systems or to simulate performance of single-photon detectors.
• Advanced Fabrication: Gain hands-on training in the state-of-the-art James Watt Nanofabrication Centre.
• Experimental Characterisation: Training and access to specialised laboratories that contain over £2M of equipment for characterising atomic systems, photonic integrated circuit devices, metamaterials or single-photon detectors, ensuring they meet key performance metrics for real-world applications.
• Field Trials: Practical training in the deployment of quantum technology based systems in a wide range of potential scenarios, including land, air, and sea-based demonstrations.

What We Offer

• Collaboration with industrial partners in the quantum technology ecosystem.
• Involvement in the UK Hub for QEPNT and other UK Quantum Hubs.
• Access to world-class facilities and training.
• Opportunities to publish in high-impact journals and present at leading international conferences.
• Support for career development in academia or high-tech industries.

The College of Science & Engineering strongly endorses the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting equality, diversity, and inclusion.

Requirements

The ideal candidate will have a 1st class degree in a STEM-related subject. No prior nanofabrication experience is required. You must be self-motivated, have good interpersonal skills, and be interested in conducting interdisciplinary work that combines theory, simulation, fabrication and characterisation.

If you would like to submit an expression of interest for this opportunity please submit a CV, covering letter explaining your research interests and ambitions to info@qepnt.ac.uk by the stated closing date.

You can also find details of the application process at:http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/

Funding

If successful with the application, the student will receive funding available to cover tuition fees for UK/EU applicants for 3.5 years, as well as receiving a tax-free stipend at the rate of £ £19,237 for the 2024-25 session (increasing annually).

There will be further opportunities for demonstrating and tutoring to supplement the stipend.