Cache of job #14166481

Job Title

Simulation And Optimization Specialist

Employer

CPL

Location

Limerick

Description

Simulation and Optimization Specialist. Our client is a newly established centre which is intended to help Irish based manufacturers (MNC’s and SME’s) to access and accelerate their adoption of digital technologies. Offering a world class physical and digital factory, a vendor showcase, an industry collaboration space and training facilities the centre will bring together technology, expertise, training and business supports to help manufacturing companies to enhance, transform and position their operations for the future. Based in Limerick, Ireland, this role is a flexible working model.   Role overview: With this role you will work as part of a Data Science team to support the centre and its clients. Together with the Product Design and Production Design teams, the successful candidate will optimise and simulate the digital twin of production lines, both on new and legacy processes. Main responsibilities: ·   Convey technical concepts clearly to a variety of audiences using the appropriate level of detail for the target audience. ·   Scope, plan and execute digital twin projects to deliver tangible improvements to manufacturing production operations. You can look forward to. ·   Bringing cutting edge solutions to life across various manufacturing domains. ·   Working with external partners, software vendors, universities, and our own team, to develop technologies needed to fulfil client requirements. ·   Developing world class data solutions for Ireland’s manufacturing base.       Experience Required. Expertise in Physical System simulation programs (Simulink, Dymola, Twin-Builder, Simcenter etc. Integration of mechatronic components in a manufacturing cell. Validate speeds, parameters, changeovers, and client investment optimization through virtual systems before start-up. Ability to collaborate with internal and external partners in a global setup. Familiarity with PLM, Systems Engineering (MBSE), Modularization, Digital Manufacturing or Supply Chain implementation programs is highly desirable. Holding a bachelor’s or master’s degree in computer science, engineering, data science, management information systems, or a related technical field.   The following experience would be an advantage. Experience with Python, Matlab or R, is a plus. A background in Manufacturing Engineering and Industrial Processes is also an advantage.

Date Added

13 days ago

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