As part of our work in Signal and Image Processing in Support of Art Investigation, Conservation, and Preservation, the UCL Electronic and Electrical Engineering Department invites applications for one (1) postdoctoral research position in Signal and Image Processing for Art Investigation. The scope of this project is to develop novel signal processing, image processing, and machine learning algorithms, leveraging multi-dimensional datasets such as X-Ray Fluorescence and Hyper-Spectral Imaging datacubes, to support the technical study, conservation and preservation of Old Masters paintings.
We are looking for a talented postdoctoral researcher to join our team and help us fulfil the project’s goals, producing high-quality research, leading to high-quality research papers in high-ranked journals. The successful candidate will work within an established research team led by Dr Miguel Rodrigues.
Main purpose of the job
The post is funded by the Engineering and Physical Sciences Research Council Research Project ‘ARTICT | Art Through the ICT Lens: Big Data Processing Tools to Support the Technical Study, Preservation and Conservation of Old Master Paintings’ to apply novel signal processing, image procesing, and machine learning algorithms, leveraging multi-dimensional datasets such as X-Ray Fluorescence and Hyper-Spectral Imaging datacubes, to support the technical study, conservation and preservation of Old Master paintings. The post holder will carry out innovative research programmes in signal and image processing and machine learning, undertake project management and/or co-supervise multi-disciplinary teams. In addition, the post holder will be expected to submit high-quality publications to refereed journals and conferences.
Duties and Responsibilities
- To actively lead the design of fundamentally new signal processing, image processing, and machine learning algorithms leveraging multi-dimensional datasets to address relevant challenges arising in art investigation, conservation, and presentation. These include:
- The development of algorithms to characterize the materials present in a painting based on X-Ray Fluorescence (XRF) data, Hyper-Spectral Imaging (HSI) Data, or a combination of XRF and HSI data
- The development of algorithms to identify, characterize or reveal concealed features present in a painting based on XRF and HSI data, such as underdrawings, concealed designs, or pentimenti.
- To lead the preparation, submission, and revision of high-quality high-profile research journals and conference papers
- To present research work at project meetings, international workshops, and international conferences.
- To contribute to the drafting of research bids and proposals related to these topics for submission to research councils in UK or elsewhere.
- To contribute to the overall activities of the research team, group or department as required, including supporting with the induction, direction, or supervision of other research staff, PhD students, or MSc students as requested.
- The postholder will carry out any other duties within the scope, spirit and purpose of the job as requested by the line manager or Head of Department. As duties and responsibilities change, the job description will be reviewed and amended in consultation with the postholder.
- The postholder will actively follow UCL policies including Equal Opportunities and Race Equality policies.
- The postholder will maintain an awareness and observation of Fire and Health & Safety Regulations.
If the successful candidate has not yet been awarded their PhD, appointment will be made as a Research Assistant (Grade 6B)*. Payment at Grade 7 will be backdated to the date of final submission of the PhD thesis including corrections, once the PhD has been awarded.
* Research Assistant (Grade 6B): point 24-26. Salary range £30,922 to £32,607 (inc. London Allowance of £3,092 pa).
How to Apply
Interested applicants are encouraged to make Informal enquiries about the post to Dr Miguel Rodrigues | firstname.lastname@example.org
All applications should be submitted via UCL online
recruitment system at the following link:
Job Reference: 1807238
If you have any queries regarding the application process please contact Vicky Coombes at email@example.com quoting reference 1807238
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