computer science
position: Guildford
salary: £34,000 to £35,000 per year
Regular
Post type: full time
Closing date: Wednesday 17 May 2023 at 23.59 hours BST
reference: 021923
The University of Surrey and Yeltech Ltd are jointly recruiting graduate students. knowledge transfer partnership Project (KTP).
Yeltech is a small company with big ambitions. Founded in 2004, Yeltech designs and manufactures bespoke remote monitoring products, providing practical, cost-effective engineering solutions for expanding industries such as railways, buildings and structures, water, wastewater, and environmental management. It offers.
Work with them to develop breakthrough technologies that transform the predictive maintenance market. Innovative AI that analyzes captured asset data using new AI/machine learning risk prediction models to provide asset managers with advanced information that can predict when assets are likely to fail Develop a responsive predictive maintenance platform.
Working for a visionary company, you will be overseen by a team dedicated to applying the latest technologies and trends to create scalable applications, business software and operating systems. It will also be supported by academics from the University of Surrey in cutting-edge research in IoT data processing, machine learning, natural language processing, and developing deep learning AI models to solve real-world problems.
Your role is to understand and manage Yeltech’s device management system, prototype extensions, and integrate ML and AI tools into an innovative predictive maintenance platform. They are also involved in commercial activities such as budget control, project coordination, client engagements and product/service launches.
position
This is a hybrid role, but you will be required to attend weekly meetings at Yeltech Ltd, both in Guildford, and the University of Surrey.
post holder requirements: –
Mandatory criteria:
- Graduate degree in computer science with a background in AI, machine learning, and/or data science
- Experience with AI modeling, network training, and regression models
- A high level of spoken and written English on a technical level.
This position is offered on a fixed term contract of 30 months. Receive business-based training and career development, including a variety of non-technical skills such as project management and leadership.
Informal inquiries can be made by emailing Dan Bance at ilovektp@surrey.ac.uk. Please note that applications sent directly to this email address will not be accepted.
We reserve the right to end this ad early if we receive a large number of qualified applications. So we are looking forward to your application.
Please note that as part of the KTP program, your application will be viewed by business partners who are members of the host organization. By submitting an application, you consent to sharing your personal information with the corporate partners listed above.
detail: job description
