Data Analytics Theme Lead

2 weeks ago

Glasgow, United Kingdom University of Strathclyde Full time

**Salary range**: £44,414 - £54,421

**FTE**: 1

**Term**:Open-ended

**Closing Date**: 12 May 2023

The University of Strathclyde in Glasgow possesses a large internationally rated Engineering Faculty with a proud history of successful joint ventures with industrial and enterprise partners. As part of the University’s strategic development the National Manufacturing Institute Scotland has been established.

The National Manufacturing Institute Scotland (NMIS) is a bold and ambitious industry-centred project to create an international centre of advanced manufacturing expertise and excellence where industry, academia and public-sector support agencies work together to transform skills, productivity and innovation, making Scotland and the UK a global leader in advanced manufacturing.

NMIS is an industry-led international centre of manufacturing expertise where research, industry and the public sector work together to transform skills, productivity and innovation to attract investment and make Scotland a global leader in advanced manufacturing.

NMIS is delivered in partnership through Scottish Enterprise. NMIS is a truly collaborative project, with partners including the Scottish government, Scottish Enterprise, Highlands and Islands Enterprise, Skills Development Scotland, the Scottish Funding Council, Renfrewshire Council and the UK government through the High Value Manufacturing Catapult. The University of Strathclyde is the host University for NMIS, which will link to the wider academic communities in Scotland through the Scottish Research Partnership in Engineering and across the UK High Value Manufacturing Catapult network.

NMIS will encompass a dedicated facility that will house the Manufacturing Skills Academy (MSA), Digital Factory and the Innovation Collaboratory. Along with this dedicated new facility, existing and developing research centres will also be part of the broader NMIS Group including the Advanced Forming Research Centre (AFRC) and the Lightweight Manufacturing Centre (LMC). The posts advertised here will be initially based in one of these centres.

The Data analytics Theme Lead will also lead, manage and develop the Data analytics Theme team with the aim of building a world-leading community of data experts in Strathclyde. The post holder will be expected to work between NMIS and its industrial partners and there will be a strong emphasis on knowledge exchange and process improvement.

To achieve the above the Data analytics Theme Lead will require significant research and/or industrial experience in at least two of the following technical areas:
A broad knowledge of connecting data streams from industrial equipment including PLC integration to access real time data from embedded sensors
Good understanding of data engineering, manipulation and analytics with significant experience in applicable coding platforms/languages
A broad knowledge of Smart Factory infrastructure including the required networks, storage and compute requirements to enable a data driven manufacturing environment

Knowledge of computer vision and the analysis of visual data in a real time environment

The post holder will have the ability to work autonomously, plan and prioritise own workload with mínimal inputs from higher management, and deal with complex problems presented to them by colleagues. The post holder will also need experience of project planning and delivery, as well as excellent communication and interpersonal skills, with a proven ability to interact with a range of stakeholders from industry and academia. The post holder will be required to make a significant contribution to the administrative activities of NMIS including membership/chair of relevant committees and acting in senior departmental/school administrative positions. As part of the role involves managing staff members within the theme, the post holder will have the ability to line manage and lead a team, including undertaking capability development, recruitment activities, allocating work, managing outputs and performance management.

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