Postdoctoral Research Associate

London (Greater) (GB)
£38,826 - £45,649 per annum inclusive of £3,500 London Weighting Allowance per annum
07 Jun 2022
End of advertisement period
27 Jun 2022
Full Time

Job description

We are looking for a researcher with a background in physics, electrical engineering, statistics or computer science to work on a research project involving the application of machine learning techniques to neuroanatomical data. The project will lead to the development and maintenance of a practical and flexible web-based tool for measuring neuroanatomical alterations in any brain-based disorders. 


The successful applicant will have previous experience in the application of machine learning - including both shallow and deep learning algorithms - to neuroimaging data. The post holder will join a multi-disciplinary team including clinicians, neuroscientists, psychologists and computer scientists.


This project is a collaboration between King’s College London, UK (Dr. Andrea Mechelli), the University of New Mexico, USA (Prof. Vince Calhoun) and the Universidade Federal do ABC, Brazil (Prof João Sato) and is funded by an Innovator Award from the Wellcome Trust. 


The post is full time from 1 August 2022 until 31st December 2022, with a possibility of extension. 



Key responsibilities



•         To develop algorithms and pipelines for machine learning methods (including containerization and deployment of ML models)

•         To apply machine learning methods to neuroimaging data

•         To use the results to help develop a practical web-based tool (which will be designed and built by a technical provider)

•         To help write the documentation of the web-based tool

•         To prepare scientific reports for publication in peer-reviewed journals



•         Occasional teaching of postgraduate students will be encouraged



•         To contribute to admin/other duties as directed.


The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

Essential criteria 

1.       Undergraduate degree in engineering, physics, statistics, computer science or related area  
2.       PhD awarded in a relevant subject or PhD near completion* 
3.       Knowledge of machine learning
4.       Knowledge of medical image analysis
5.       Computer programming (especially Python)
6.       Experience of doing research in an academic setting
7.       Self-motivated and interested in this area of research
8.       High interest in software development
9.       High level of competence in spoken and written English


Desirable criteria 

1.       Knowledge of deep learning 

2.       Agile mindset 

3.       Application of machine learning methods to neuroimaging data  

4.       Development of practical tools for clinical use  

5.       Experience of developing practical tools for clinical use  

Further information

The post holder must be able to start no later than 1st August 2022.

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