英国剑桥大学2022年招聘博士后职位（肿瘤成像的人工智能）

剑桥大学（University of Cambridge；勋衔：Cantab），坐落于英国剑桥郡，是一所公立研究型大学，采用传统学院制。学校是罗素大学集团成员，被誉为“金三角名校”和“G5”之一。剑桥大学是英语世界中第二古老的大学，前身是一个于1209年成立的学者协会。

Research Associate - Artificial Intelligence for Oncological Imaging

University of Cambridge

Description

We invite applications for a postdoctoral Research Associate to work in the Department of Oncology at the University of Cambridge. The successful candidate will also become a member of the Mark Foundation Institute for Integrated Cancer Medicine, the Cancer Research UK Cambridge Centre, and the Cambridge-GE HealthCare AI partnership.

This role is an exceptional opportunity to join a strong and passionate interdisciplinary team to develop new deep learning approaches to model the spatial and temporal response to therapy of ovarian cancer using imaging data. The successful candidate will have access to extensive annotated datasets and drive the development and application of new deep learning approaches to track the evolution of primary and metastatic lesions during treatment. The research will aim to reveal new scientific insights into the disease as well as to provide support to critical, unsolved clinical questions.

The Research Associate will be supervised by Dr Mireia Crispin-Ortuzar, in close collaboration with a highly dynamic group of oncologists, radiologists, mathematicians, and computer scientists from across the University. In addition, the successful candidate will be part of the partnership between the University, Cambridge University Hospitals NHS Foundation Trust and GE Healthcare to deliver better patient outcomes across the East of England Cancer Alliance, by working together to solve unmet needs in care pathways of challenging cancers such as Ovarian, Renal and Breast. The partnership's overall aim is to develop a robust clinical data ecosystem to enable the deployment of AI solutions based on data integration.

Duties include developing and conducting research objectives, proposals and projects, with guidance and support from mentors. Collaborative skills and enthusiasm for multidisciplinary work are essential. You must be able to communicate material of a technical nature to technical and clinical audiences alike, and be able to build and grow an internal and external network of contacts. You will also be expected to assist in the supervision of student projects, the development of student research skills, provide instruction and plan/deliver seminars relating to the research area.

Applicants must have (or be about to receive) a PhD degree in a computational discipline such as physics, mathematics, bioinformatics, engineering, or similar. The ideal candidate will be experienced in two or more of the following areas: medical image analysis, deep learning, radiomics, software engineering, bioinformatics, and/or data science.

You will be part of a highly supportive group and community, and be encouraged to take active part in the multiple career development opportunities provided by the University.

We particularly encourage candidates typically underrepresented in STEM to apply.

Informal enquires may be directed to Dr Mireia Crispin-Ortuzar via e-mail at mc973@cam.ac.uk.

Fixed-term: The funds for this post are available for 3 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment. This appointment also requires a Research Passport application.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £30,046) moving to Research Associate (Grade 7) upon confirmation of your PhD award.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Closing date: 5th December 2022

Date of interviews: To be confirmed

Please quote reference RD34108 on your application and in any correspondence about this vacancy.

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