Research Fellow in the Application of Computer Vision to Optimising Crystallisation Processes
University of Leeds
Leeds, United Kingdom
Job posting number: #7137111 (Ref:EPSPE1085)
Posted: March 30, 2023
Job Description
Are you an ambitious researcher looking for your next challenge? Do you have an established background in 3D reconstruction using computer vision? Do you have a passion to apply this knowledge within the process engineering domain? Do you want to further your career in one of the UK’s leading research-intensive Universities?
You will be a member of the team of an EPSRC funded multidisciplinary research project: Advanced Crystal Shape Descriptors for Precision Particulate Design, Characterisation and Processing (Shape4PPD). The research work is led by the University of Leeds (Schools of Computing and Chemical & Process Engineering) and involves collaboration with AstraZeneca, Cambridge Crystallographic Data Centre (CCDC), F. Hoffmann-La Roche (International), Infineum UK Ltd, Imperial College London, Keyence (UK) Ltd, Pfizer, Syngenta, Universities of Hertfordshire and Strathclyde.
You will work on the project to apply the latest computer vision technologies for 3D reconstruction to process engineering, hence developing a digital design platform for manufacturing processes of crystalline materials and their product performance. You will be highly motivated in exploring the application of computer vision knowledge and technology in crystallisation process engineering.
We are open to discussing flexible working arrangements.
What we offer in return
And much more!
To explore the post further or for any queries you may have, please contact:
Prof. David Hogg, Professor of Artificial Intelligence
Tel: +44 (0)113 343 5765 or email: [email protected]
OR
Prof. Kevin Roberts, Brotherton Professor of Chemical Engineering
Tel: +44 (0)113 343 2408 or email: [email protected]
| Location: | Leeds - Main Campus |
| Faculty/Service: | Faculty of Engineering & Physical Sciences |
| School/Institute: | School of Chemical & Process Engineering |
| Category: | Research |
| Grade: | Grade 7 |
| Salary: | £36,333 to £43,155 p.a. |
| Due to funding restrictions, an appointment will not be made higher than £38,474 p.a. | |
| Working Time: | 37.5 hours per week |
| Post Type: | Full Time |
| Contract Type: | Fixed Term (6 months due to grant funding) |
| Release Date: | Wednesday 29 March 2023 |
| Closing Date: | Tuesday 11 April 2023 |
| Interview Date: | To be confirmed |
| Reference: | EPSPE1085 |
The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.
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