PhD Computer Scientist, Image Processing

ECM Selection (Holdings) Limited; Cambridge; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A leading recruitment firm in Cambridge is seeking a PhD-qualified computer scientist specializing in image analysis to support cutting-edge research in the life sciences. The ideal candidate has strong Python, software engineering skills, and familiarity with machine learning techniques. This role initially offers a fixed-term contract for over 3 years with competitive salary and benefits, including flexible hours and hybrid working options.

Benefits

Competitive salary

Flexible hours

Hybrid working options

Excellent benefits

Qualifications

• PhD qualified with a focus in image analysis.
• Experience in advanced image processing for 3D datasets.
• Interest in diverse research backgrounds.

Responsibilities

• Support colleagues with life sciences background.
• Advance the software platform for global research.
• Utilize machine learning techniques for image analysis.

Skills

Python skills

Software engineering

Algorithm development

Machine learning

Creativity and reasoning

Education

PhD in computer science

Good technical degree

Strong A-levels

Tools

TensorFlow

Keras

PyLattice

Job description

3D image analysis, life sciences / bio, machine learning, CNNs

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.

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