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PhD Computer Scientist, Image Processing

Ecm Selection

Cambridge

Hybrid

GBP 35,000 - 50,000

Full time

19 days ago

Job summary

A leading research organization seeks a PhD-qualified computer scientist with expertise in image analysis to work on innovative projects in 3D/4D datasets. The role involves applying Python and machine learning techniques to advance a software platform, supporting diverse research teams and enhancing scientific discovery. This is a fixed-term contract with potential for permanence, offering competitive salary and excellent benefits along with flexible hours and hybrid working options.

Benefits

Flexible Hours
Hybrid Working
Excellent Benefits

Qualifications

  • Relevant PhD, ideally in computer science.
  • Strong software engineering skills in Python.
  • Creativity, adaptability, and enthusiasm for working in research.

Responsibilities

  • Support researchers in image analysis on 3D/4D datasets.
  • Advance a software platform using machine learning techniques.
  • Collaborate with colleagues to interpret biological data.

Skills

Python
Image Processing
Machine Learning
Algorithm Development

Education

PhD in Computer Science
Good Technical Degree

Tools

TensorFlow
Keras
PyLattice

Job description

Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D / 4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques.

You will support equally qualified colleagues with a life sciences background, putting to work your prodigious Python skills to advance the state of a growing software platform which forms the bedrock of future research for a global scientific audience.

You will bring:

  • A relevant PhD, most likely in computer science, backed by a good technical degree and strong A-levels.
  • Creativity and reasoning, intellectual curiosity, adaptability, drive and energy, along with an interest in working alongside researchers with diverse backgrounds.
  • Strong software engineering and algorithm development skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar.
  • Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking.

Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. Whereas statistical approaches are not required.

This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent position at that time. Salary is competitive and benefits are excellent. Flexible hours and hybrid working are available.

Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

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