英国知山大学2024年招聘博士后职位(计算机视觉和人工智能)
知山大学(Edge Hill University),又名艾吉希尔大学、边山大学,1885年建校,为公立综合性大学。
大学位于英国兰开夏郡,毗邻利物浦,其历史可追溯至1885年创建于利物浦边山德宁路(Durning Road)的知山学院(Edge Hill College)。
在校生有26000余人。自创立以来,大学一直以为学生创造友好平和的学习氛围,提供优质的教学服务而深受学生们的喜爱。距利物浦和曼彻斯特车程30-40分钟左右,也有火车通达,利物浦和曼彻斯特国际机场离大学都不远。从而既有小城镇的宁静、优美、又不失与大都市的便利联系。
Postdoctoral Research Fellow in Computer Vision and AI
Edge Hill University - Computer Science
Fixed Term contract for 12 months
About the Role
This is an exciting opportunity for a Research Fellow to join the Computer Science department.
As a Research Fellow, you will contribute to the development and implementation of cutting-edge research and innovation addressing the great challenges of how computer vision and AI technologies support and expedite crucial aspects of criminal justice processes. This position can be a valuable experience for learning more about academia, gaining advanced skills (e.g., computer vision, AI, deep learning, team working, etc.) and can be a valuable way to expand one’s research experience to become more competitive on the academic and industrial research job market.
The Computer Science department is a thriving, international community of students and staff with exceptional facilities to carry out world-class, dynamic, and responsive research addressing global challenges. We are committed to teaching and research excellence, professional practice, interdisciplinary collaborations, and partnerships.
For informal enquiries about this vacancy, you may wish to contact: Professor Ardhendu Behera, Professor of Computer Vision and AI at Beheraa@edgehill.ac.uk.
The main responsibilities of the Research Fellow include:-
Develop AI model/framework for cell type identification and analysis in microscopic images.
Take an active role in interacting, communicating, and collaborating with other involved institutes and stakeholders.
Provide a helping hand to others in the group/department/university to promote dynamic interdisciplinary research environment.
About you
As a Research Fellow you will have:-
Experience of engaging in personal research and the production of research outputs of a volume and standard necessary to contribute to one of the University’s REF returns.
PhD in the broad area of Computer Science/Engineering and/or Applied Mathematics
Research/work experience in computer vision, image processing, microscopic image analysis, deep learning, neural networks, artificial intelligence (AI) and strong computational skills.
You will also be:-
Innovative, ambitious, self-motivated, and willingness to work as a team player within an interdisciplinary setup.
Excited by the research and development we do and wish to be part of it.
A Self-starter to take initiatives beyond the project-related activities.
You will be able to engage in high-quality personal research and possession of the skills of a fully trained researcher and whilst being able to proactively assess, plan and progress work activities, projects and changes within own work area using initiative and judgement and further deal with sensitive situations, handle confidential business data and maintain professionalism.
Rewards & Benefits
A minimum of 48 days annual leave per annum, (inclusive of bank holiday and University closure days)
Access to a range of CPD to support your career development
Free foreign language/ British Sign Language evening classes
Employee assistance programme
Automatic enrolment into the Teacher’s Pension Scheme with our employer contribution of 23.68%
Discounted membership to our sport and leisure facilities
Beautiful campus working environment
Staff benefits scheme.
About us
At Edge Hill University we believe in the life changing opportunities knowledge can create. Since 1885, we’ve been creating access to knowledge for those who may not have had the opportunity to before.
Today, the effect we have has a far-reaching impact, not just for those who come to study here but for those who work, invest in, and live in our local communities too.
Inspiring minds and changing futures since 1885, Edge Hill University is “A great success story… an institution that improves and impresses year after year” – Times Higher Education.
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