英国伦敦国王学院2024年招聘博士后职位（发育神经影像学和机器学习）

伦敦国王学院（King's College London, KCL）位于英国伦敦，是一所公立综合类研究型大学，为英国金三角名校，罗素集团成员，科学与工程南联盟（SES-5）成员。

Post-doctoral Research Associate in Developmental Neuroimaging and Machine Learning

King’s College London

Job id: 100005. Salary: £44,105 - £50,163 per annum, including London Weighting Allowance.

Posted: 15 November 2024. Closing date: 06 January 2025.

Business unit: Faculty of Life Sciences & Medicine. Department: Biomedical Engineering.

Contact details: Dr Konrad Wagstyl. konrad.wagstyl@kcl.ac.uk

Location: St Thomas Campus. Category: Research.

About us

The applicant will join the new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street Hospital.

About the role

We are seeking an ambitious and motivated computational research scientist to join our new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab.

The project aims to

organise and manage large multicentre datasets of neuroimaging data

develop machine learning / AI tools to identify abnormalities in epilepsy and other neurodevelopmental disorders

create translational tools for evaluation on clinical cohorts.

The post-holder will also be expected to work collaboratively on a range of projects within the IMAGINE lab, which includes engineers, data scientists and clinicians.

This is a full time post (35 hours per week) and you will be offered a fixed term contract until 01/04/2028.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

PhD qualified in relevant subject area (or pending results)*

Experience working with large imaging datasets

Excellent computer programming abilities evidenced by available code

Presenting scientific research in the form of papers, posters or oral presentations

Ability to work well as an effective member of a multidisciplinary team, collaborating with clinicians, engineers and neuroscientists.

* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Desirable criteria

Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow

Previous experience working with neurodevelopmental imaging data

Previous experience in working on modelling development (e.g. growth curves, normative models)

Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers review your application, please take a look at our ‘How we Recruit’ pages.

This role does meet the requirements of the Home Office and therefore we are able to offer sponsorship for candidates who require the right to work in the UK.

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