Location: | Renfrew |
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Salary: | £36,024 to £44,263 |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 23rd September 2024 |
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Closes: | 13th October 2024 |
Job Ref: | 438429 |
Location: NMIS, Renfrew
The University of Strathclyde is a leading international technological institution and has a long history of working with industry to deliver strong business growth from access to research and innovation expertise. The latest major initiative continuing to deliver on this track record is through the National Manufacturing Institute Scotland.
As a magnet for innovation in advanced manufacturing, the National Manufacturing Institute Scotland (NMIS) group of specialist R&D centres (including the Digital Factory), supports manufacturing, engineering, and associated tech businesses of all sizes, to thrive domestically and internationally through accelerating productivity, embracing new digital technologies and achieving net-zero targets.
Coming from diverse backgrounds and disciplines, our passionate team works alongside industry, academia, and the public sector to solve problems, train the workforce of the future, and generate the creative ideas that will transform manufacturing.
The National Manufacturing Institute Scotland (NMIS) is the future of manufacturing at the heart of the Advanced Manufacturing Innovation District Scotland. It is where industry, academia, and the public sector work together on ground-breaking manufacturing research to transform productivity levels, make companies more competitive and boost the skills of our current and future workforce.
Empowering autonomous decision-making within manufacturing enterprises, whether large corporations or small and medium-sized enterprises (SMEs), stands as a cornerstone of digital transformation. Central to this endeavour are decision support systems driven by algorithms rooted in statistical analysis, machine learning, and artificial intelligence. Crafting these algorithms necessitates a profound exchange of knowledge between manufacturing domain experts and iterative refinement through building, training, and validating data-driven models.
A solid understanding of machine learning algorithms is essential. Additionally, you will be expected to transform raw data into compelling visual narratives that support decision-making in the manufacturing industry. Your role will involve developing innovative visualization solutions to present manufacturing data in a clear and engaging manner. Collaborating closely with data scientists, engineers, and UX designers, you will turn raw data into visual insights that drive informed decision-making.
To tackle these challenges head-on, NMIS is actively seeking a proficient Data Scientist. This role will bridge NMIS, the University, and its industrial partners, facilitating robust knowledge exchange initiatives including collaborative research and development.
The ideal candidate will bring to the table research and/or technical expertise across several domains:
For informal enquiries, please contact Sarini Jayasinghe, Data Analytics Theme Lead, jayasinghe.jayasinghe@strath.ac.uk.
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