Research Fellow in Spectra Measurement

University of Leeds

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Are you a researcher with proven abilities to carry out research in colour science? Are you able to use your expertise to support or complement our existing strengths in colour science and technology? 

The successful applicant will join the Colour Technology Research Group, the School of Design, is a world leading research centre with a focus in creativity and developing innovative materials and manufacturing solutions with interdisciplinary researchers and industrial partners. You will join an experienced, innovative and diverse team and will be actively involved in research, producing high quality publications and contributing to the School’s Research Excellence Framework (REF). 

Working in collaboration with the academic team and our industry partner, Verivide Limited, you will develop new algorithm in spectral reflectance estimation for Vervide image system under various lighting conditions, compare the performance of colour and spectra accuracy between new developed algorithm with existing algorithm. The research will involve the development of test procedure, existing spectra estimation algorithm testing and updating, identify best spectra reflectance estimation algorithm using camera raw image and one step process, identify best spectra estimation algorithm for multi-lightings. The project is led by the Colour Technology Research Group in the School of Design. 

You will have a PhD in applied mathematics or colour imaging science. You will also have a developing record of research (commensurate with the level of the post) and will provide a clear indication of the ability to achieve internationally recognised standards of excellence. 

To explore the post further or for any queries you may have, please contact: 

Dr Kaida Xiao

Email: [email protected]  

Location:  Leeds – Main Campus
Faculty/Service:  Faculty of Arts, Humanities & Cultures
School/Institute:  School of Design
Category:  Research
Grade 7

£36,333 to £43,155
p.a. pro rata
Working Time:  80%
Post Type: 

Part Time
Contract Type:  Fixed Term (6 months)
Release Date:  Friday 16 June 2023
Closing Date:  Sunday 02 July 2023
Reference:  AHCDE1243
Downloads:  Candidate Brief

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