Researcher - Food Engineering – Computer vision and machine learning

Sheffield Hallam University
February 18, 2024
Offerd Salary:£30,487 to £37,099
Working address:N/A
Contract Type:Other
Working Time:Part time
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Ref info:N/A
Researcher - Food Engineering – Computer vision and machine learning

College of Business, Tech. & Engineering Academic Grade 6, £30,487 to £37,099 dependent on expereince

The National Centre of Excellence for Food Engineering at Sheffield Hallam University is playing a strategic role in developing advanced engineering capability for the food and drink industry, providing a major competitive advantage to this significant sector. Now we're looking for a researcher with strong computer vision and machine learning skills to apply their knowledge and experience to food process engineering, and the assessment of quality of baked products. Working with Rakusen's Limited, the project aims to develop smart and sustainable baking of water biscuits.

You should have, or be working towards a PhD in the field of computer science, computer vision and machine learning with good knowledge of industrial applications. You should have the ability to work effectively both independently and collaboratively, both on projects and as part of a team.

We offer a diverse range of benefits and opportunities to pursue a rewarding and fulfilling career in a supportive environment.

Sheffield Hallam welcomes applications from all candidates irrespective of age, pregnancy and maternity, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

The University may be able to sponsor the employment of international applicants in this role; this will depend on a number of factors specific to the individual applicant.

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We welcome applications for job-share, part-time and flexible working arrangements.

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Contact Person : Prof. Martin Howarth Contact Number : 0114 225 6893 Date Advertised : 26-Jan-2024 Closing Date : 18-Feb-2024 Location : NCEFE Attercliffe Employment Type : Job number : 103866

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