英国伦敦帝国理工学院（ Imperial College London ）电子电气工程系Dr. Chen Qin课题组现有博士职位可申请，主要研究机器学习、医学影像计算及分析，提供奖学金，2023年入学。
About the project
Applications are invited for a PhD studentship in the field of machine learning in medical imaging, w hich will be jointly hosted by Department of Electronics and Electrical Engineering and the College’s new I-X initiative. The PhD position is partially funded for international students and fully funded for home student (UK). It is especially targeted at PhD applicants with an interest in artificial intelligence and healthcare.
The PhD research will explore the important topics of machine learning solutions for improving medical imaging workflow. Particularly, the research project will focus on investigating advanced deep learning approaches for inverse problems. It will develop approaches that can incorporate explicit prior knowledge into deep learning methods for data-efficient and interpretable learning. The aim of the research is to combine the best of knowledge-driven and data-driven approaches for inverse medical imaging problems, such as image reconstruction and image registration. The research is at the intersection of artificial intelligence and healthcare and has the potential to make significant positive impact on society by improving patient care through better diagnosis and treatment.
Department of Electronics and Electrical 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 (Imperial-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. For more information about I-X, pleas e visit
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, ma thematics or engineering. Applicants should also meet the minimum requirement as outlined in the guidance on qua lifications：
Applicants m ust 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
For further details of the post, please contact Dr Chen Qin ( https://sites.google.com/view/chen-qin ), at firstname.lastname@example.org . Early applications are encouraged. The post is preferred for candidates who can start in early 2023.
Closing date: until post filled.
We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.
“硕士申请” 或 “博士申请”
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