Edu Performance & Efficiency Computational Methods Lead

REQ ID: 115900
JOB TITLE: EDU Performance & Efficiency Computational Methods Lead
SALARY: £45,500 - £60,200 + Additions & Benefits
POSTING END DATE: 05/02/2024
LOCATION: Whitley, Coventry, UK

Beyond Property, Purchasing, HR and IT, more than being part of our Finance or Marketing teams, beyond even Sales and Service, every role in every business area offers unique opportunities to make an impact on the future of mobility and the automotive industry.

WHAT TO EXPECT

We are actively in pursuit of an accomplished EDU Performance & Efficiency Computational Methods Lead, poised to play a pivotal role in advancing our Electric Drive Unit realm.

You will be at the forefront EDU Systems technology. Your mission? To understand, analyse and condense, Engineering data of the EDU consisting of multiple interconnected components and assess that against analysis requirements.

You will be responsible to analysis system level performance and efficiency of the EDU is a key capability to ensure we deliver the best possible in house manufactured Electric Drive Units for our next generation JLR vehicles.

Key Accountabilities and Responsibilities

• System Analysis - Analysing EDU system performance, converting non-geometric data (NGD) from EDU subsystems and a variety of use cases into a complete EDU performance assessment overview reports
• Test vs Prediction Analysis - Analysing simulation predictions versus test results and supporting clarification of any discrepancies
• Loss Modelling Tools - Developing tools and scripts for processing NGD into performance reports and tuning of loss mechanism models to real world data
• Design Automation Tools - Support development of automation computer aided engineering (CAE) routines for future generation EDU development studies
• Communicating the study findings in a clear manner to the EDU Performance & Efficiency Technical Specialist and/or internal customers/stakeholders
• Document analysis approach and tool development

Knowledge, Skills and Experience

• Good relevant experience of working in a Systems Engineering environment - ideally within the Automotive Sector
• Good relevant knowledge of e-machine/inverters/transmission/EDU systems
• Coding skills, MATLAB/Simulink and Python or similar with ability to learn quickly
• Good verbal and written communications
• Analytical and problem solving skills
• Track record as an effective team player with strong interpersonal skills
• Understanding of relevant EDU CEA tools and in particular their outputs, e.g. Motor-CAD, Romax, Simulink
• Experience in simulation and test data comparison
• Experience in applying Systems Engineering and in solving complex technical issues using a structured approach
• Problem solver mindset with a sense of ownership
• Relevant degree or equivalent experience preferred

SO WHY US?

Bring all this to the home of premium innovation, and you’ll find the opportunities to further your career with a world-class team, a discounted car purchase and lease scheme for you and your family, membership of a competitive pension plan and performance related bonus scheme. All this and more makes JLR the perfect place to continue your journey.

This role may offer the opportunity for hybrid working where you can split your time between working from home and in the office. At JLR, hybrid working is a voluntary, non-contractual arrangement providing employees with more choice and flexibility around how, when and where they work, if suitable for their role. Further details can be discussed with the Hiring Manager at interview stage. 

Please be aware that we may close this vacancy for applications before the stated deadline if we receive a high volume of interest. We strongly advise you to submit your application as early as possible.

JLR is committed to equal opportunity for all.

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