Research Associate in Computational Fluid Dynamics

The University of Manchester
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Research Data Analyst

Data science programme lead

Data science programme lead

Senior Machine Learning Engineer - Research

Executive Director: BHF Data Science Centre

Technical Program Manager - Machine Learning - New York

We seek to appoint a research associate in Computational Fluid Dynamics, as part of an Innovate UK project working on the development of multi-fidelity modelling of fatigue and wear in hydrogen engines. The current appointment is for an initial 30 months, thought there is likely to be an opportunity for extension.

The successful candidate will work as part of an interdisciplinary team towards the aim of developing a digital tool for the design of key products in hydrogen fueled powertrains, enabling the prediction and mitigation of component failure when exposed to hydrogen operating environments. The multi-fidelity approach to be adopted seeks to combine predictions with different levels of accuracy into a reduced order model for the purpose of design exploration and evaluation.

The candidate should have knowledge and working experience of various approaches for the prediction of turbulence modelling & simulation, along with an interest to apply this expertise to complex industrial cases involving conjugate heat transfer and thermomechanical fatigue.

The successful candidate will have completed a PhD (or equivalent) in a related area and will have a strong teamwork mentality and a growth mindset. The selection committee will look for evidence of some or all of the following; significant programming experience, experience in the application of machine learning techniques to CFD, advanced data analysis skills and a track record of successful dissemination of their research via top journal papers and oral presentation at international conferences.

What you will get in return:

  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out morehere

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof Alistair Revell

Email:

General enquiries:

Email:

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.


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.