Postdoc / Scientific Software Developer

Image analysis, machine learning and quantitative computational modelling

circa 42k+ with top benefits

A prestigious research centre is seeking a talented developer with expertise in image analysis and machine learning to bring their skills to bear on cutting edge research. There is flexibility towards either a purely engineering or research role. You will work on a range of projects relating to image analysis in the life sciences, to advance the state of the art.

The team use a variety of evolving and experimental image processing and machine learning techniques, starting from modelling in tools including MATLAB through to development of image analysis (2D, 3D and 4D) and machine learning software in Python. Datasets are vast (terabytes to petabytes) and significant computational power and HPC is available.

You will have:

• A relevant PhD (or equivalent experience), and a good technical degree in a relevant subject, backed by strong A-level grades.
• Intellectual curiosity, drive, energy and reasoning skills.
• Team working and an interest in working alongside researchers with diverse backgrounds.
• Adaptability given rapidly evolving techniques.
• Strong algorithm development and software engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable.

Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking, volumetric tiling, voxel imaging, 3D graphics, spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial.

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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