Research Fellow in the Application of Computer Vision to Optimising Crystallisation Processes

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

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme plus life assurance– the University contributes 21.6% of salary.
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
• Access to on-site childcare, shopping discounts and travel schemes are also available.

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: D.C.Hogg@leeds.ac.uk 

OR

Prof.  Kevin Roberts, Brotherton Professor of Chemical Engineering

Tel: +44 (0)113 343 2408 or email: K.J.Roberts@leeds.ac.uk

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