Research Associate - Deep Learning and Computer Vision (KTP Associate)

£43000 - £55000

Wokingham, Berkshire - 2 years

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Job description

The role will require research and software development skills with knowledge of deep neural networks and
computer vision. You must have a problem-solving approach to meeting the overall project deliverables and will be
expected to devise work leading to the creation of a working software implementation.
The work will be conducted in collaboration with two academic supervisors and the employees of NicheCom, so it is
important to be able to work well as part of a team. Online communication media (such as Teams) will be used
throughout the project.
Working with stakeholders at NicheCom, the role holder will be tasked with developing machine learning models,
utilising deep learning to automate the image editing tasks. NicheCom have a large portfolio of image editing
content, and the data will facilitate the application of advanced AI methods.

Project description

To develop an innovative ML/AI and CVAI pipeline to process and enhance images aimed at reducing external dependencies, enhancing profitability, and streamlining the production process.

About the business

Established in 1993, NicheCom, trading name of West Surrey Homes Limited, is one of the UK’s leading providers of estate agency marketing services. We are one of the few agencies that can produce a set of professional photographs, video, accurate floorplans and energy performance certificates from a single property visit. We also provide elevated and drone photography as well as 3D immersive tours to take property marketing to the next level. We pride ourselves in delivering top quality products with the shortest turnaround in the business – frequently within a day of taking a booking

Real Estate Market

Computing

A PhD, or close to completion, in statistics/machine learning, computing, or engineering, or a related discipline, or equivalent qualification/experience (A) At least a BSc 2:1 in Computing or in a related discipline, or equivalent (A)

9 August 2024

12 September 2024

6 January 2025

CEMS-270-24


The role will require research and software development skills with knowledge of deep neural networks and
computer vision. You must have a problem-solving approach to meeting the overall project deliverables and will be
expected to devise work leading to the creation of a working software implementation.
The work will be conducted in collaboration with two academic supervisors and the employees of NicheCom, so it is
important to be able to work well as part of a team. Online communication media (such as Teams) will be used
throughout the project.
Working with stakeholders at NicheCom, the role holder will be tasked with developing machine learning models,
utilising deep learning to automate the image editing tasks. NicheCom have a large portfolio of image editing
content, and the data will facilitate the application of advanced AI methods.