全獎 | 英國倫敦帝國理工學院博士后招聘

2022-07-10 17:39 作者:留德華叫獸 0人讀過 | 我要投稿

職位信息

截止日期：2022年7月21日

英國倫敦帝國理工學院現(xiàn)計劃招收研究助理，主要從事AI在成像數(shù)據(jù)中提取和增強的作用等領(lǐng)域研究，該職位由the EU H2020 CHAIMELEON和the EU IMI DRAGON資助。

Job description

Increasing favourable outcomes suggests that health imaging-based AI approaches can become useful clinical tools in areas such as non-invasive medical image characterisation, prediction of certain quantitative imaging biomarkers, staging of lesion spread, stratification of patients, selection of most appropriate therapies and clinical prognosis.

We are seeking Research Associate to work in this project. The post is jointly funded by the EU H2020 CHAIMELEON and the EU IMI DRAGON projects and aims to demonstrate for first time that AI can be used to enhance reproducibility of radiomics features and parameters extracted from cross-vendor and cross-institution CT-MR-PET/MR imaging data.

Duties and responsibilities

To take initiatives in the planning of research
To direct the work of small research teams
To identify and develop suitable techniques, and apparatus, for the collection and analysis of data
To conduct data analysis
To ensure the validity and reliability of data at all times
To maintain accurate and complete records of all findings
To write reports for submission to research sponsors
To present findings to colleagues and at conferences
To submit publications to refereed journals
To provide guidance to staff and students

Essential?requirements

Must hold a PhD in Computer Science, Medical Physics, Bioinformatics, Bioengineering or a closely related discipline, or equivalent research, industrial or commercial experience
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant
Must have a strong machine learning background with proven knowledge and track record in one or more of the following research areas and techniques: generative adversarial models, federated or distributed machine learning, deep learning and its applications to medical image analysis, imaging biomarkers extraction, diagnosis and prognosis.
Must have excellent verbal and written communication skills, enjoy working in collaboratively and be able to organise your own work with minimal supervision and prioritise work to meet deadlines.
Preference will be given to applicants with a proven research record and publications in the relevant areas, including in prestigious machine learning, computer vision and medical image analysis journals and conferences.

Further information

This is a Full-time and Fixed Term post until August 2024 based at the Royal Brompton Campus.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range ￡36,694 - ￡39,888 per annum.

Should you require any further details on the role please contact Dr Simon Walsh,?s.walsh@imperial.ac.uk?or Dr Guang Yang,?g.yang@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA),which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published.?For more information, see:?https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/?

Additional information

Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the?Imperial Values & Behaviours framework. Our values are:?

Respect ? ? ? ? ? ? ?
Collaboration
Excellence ? ? ? ? ?
Integrity
Innovation

In addition to the above, employees are required to observe and comply with all?College policies and regulations.

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

For technical issues when applying online please email?support.jobs@imperial.ac.uk.