Thermal Systems 1D Simulation Engineer

Confidential
Coventry
11 months ago
Applications closed

An automotive company is looking for aThermal System Simulation Engineer.


Responsibilities:

  • Lead Thermal System 1D model development and validation work streams for each vehicle build phase, to ensure Thermal System performance meets attribute and system level requirements.
  • Create and develop 1D/3D Cabin model to support Climate System specification creation for Climate System Engineer and/or external partners.
  • Collaborate with Thermal System Principal Engineer to ensure that Thermal System components are suitable/sized correctly to meet system performance targets.
  • Collaborate with Suppliers to capture component/subsystem characteristic data to implement into 1D model.
  • Collaborate with Aerodynamics/CFD Engineers (internal & external) to ensure robust 1D model inputs and support Heat Exchanger optimization activities.
  • Develop and optimize EDU and Battery thermal models to ensure correlation to real-world performance.
  • Collaborate with Thermal System Test & Integration Engineer to correlate 1D models with physical test data.
  • Co-simulate Thermal System 1D model with Thermal System Control model(s) during Virtual test (Software in Loop and Model In Loop) work streams, to ensure Thermal System Control functionality supports the Thermal System to meet program deliverables.
  • Support Thermal System Principal Engineer with development & cascade of Thermal System Control Requirements to Control Team.
  • Support Platform Control Optimization work streams, to balance Thermal System attribute


Requirements:


  • Degree in Mechanical Engineering or equivalent experience.
  • Experience of 1D modelling of single & dual phase thermal systems.
  • 1-D Simulation Tools - Gamma Technologies Suite (GT ISE /GEM3D/POST/GT TaiTherm) preferred.
  • 3D Simulation Tools - GT CONVERGE/STAR CCM+
  • Matlab Simulink modelling experience.
  • Co-Simulation experience.
  • Interpreting of Rig & Vehicle Test Data.
  • Knowledge of HV battery, Electrified Drive Units [EDU] and Power Electronics.
  • Excellent communication, interpersonal and team working skills.
  • Strong knowledge of thermal management principles, heat transfer, thermodynamics, and fluid dynamics.
  • ILR to live and work in the UK.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.