Research Associate - Life Sciences & Medicine

London (Greater)
£38,304- £41,517 per annum, including London Weighting Allowance
Wednesday, 17 February 2021
End of advertisement period
Wednesday, 10 March 2021
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Fixed Term
Full Time

Job description
We are seeking a postdoctoral research associate to work on using convolutional neural networks to reconstruct 3D models from datasets of 2D super-resolution fluorescence microscopy projections. The position, within the lab of Dr Susan Cox, will use the training of the CNN to optimise the rotational fit of a 3D model to the set of 2D images, meaning that the optimised model, rather than the trained network, is the output. Initially this will be used to extract 3D models from 2D images of the centriole, but the approach has potential applications across multiple fields. There is also the potential to work on resolution improvement using generative adversarial approaches.

You should have a strong background in programming, ideally in Python, including some experience in deep learning. You will have (or expect to obtain shortly) a PhD degree in the relevant area.

You will be formally based within the Randall Centre for Cell and Molecular Biophysics at King's College London, an interdisciplinary research department which includes biologists, biochemists and physicists.

This post will be offered on a full-time, fixed term contract until 31 July 2022.

Key responsibilities

  • Develop deep learning approaches to extract rotational information from 2D projections
  • Use this approach to synthesize information from multiple views to allow an enhanced 3D reconstruction
  • Record results in a way so as to ensure results are reproducible
  • Apply these deep learning approaches to super-resolution microscopy datasets
  • Quantify the impact of deep learning on the quality of the reconstructed structure by comparing with results fromother techniques such as electron microscopy
  • Present results at conferences
  • Write and submit results as papers

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

  • Have a first degree in a relevant topic
  • Have or expect to soon receive a PhD in a relevant area
  • Have experience in Python programming, or strong experience in another programming language
  • Experience of programming for scientific data analysis
  • Have experience in the use of image analysis
  • Good written communication skills
  • A strong publication record
  • Experience presenting work at conferences
  • Good time management and organizational skills
  • Ability to acquire and quickly apply new technical skills to the project

Desirable criteria

  • Knowledge of any of the major deep learning frameworks
  • Experience applying data analysis to scientific imaging data
  • Experience working in an interdisciplinary environment

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. 

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