KTP Associate: Machine Learning/Computational Modelling Engineer
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Engineering
Job Description & How to Apply Below
KTP Associate:
Machine Learning/Computational Modelling Engineer
Job title KTP Associate:
Machine Learning/Computational Modelling Engineer
Department Chemical Engineering
Salary Starting from £35,000, rising to £45,000
Do you have a strong interest in using artificial intelligence and machine learning techniques in chemical engineering to create a safer and more sustainable work environment in the oil, gas, petrochemical and chemical industries?
Do you want to further your career through a project with one of the UK’s leading research-intensive universities whilst pursuing a career in industry?
We are seeking an Engineer in Machine Learning or Computational Modelling for a Knowledge Transfer Partnership (KTP) Associate position based at io Mosaic International Ltd in Bath.
About the roleThis Knowledge Transfer Partnership will bring together an exciting combination of expertise in artificial intelligence and chemical engineering to deliver a new tool for decision-making in process safety engineering. The tool will deliver a step-change in the design of processing plants, improving safety and reducing environmental impact.
You will work within io Mosaic Corporation to embed knowledge through this innovation project, with research and academic support from the University.
This is an opportunity for you to ‘fast track’ your career into business by leading a high profile and strategically meaningful project to a successful conclusion, allowing you to utilise your academic achievements in an industrial setting.
By joining this KTP between io Mosaic Corporation and the Departments of Chemical Engineering and Computer Science at the University of Bath you will have the opportunity to work on challenges, using ground‑breaking technology with incredible team support and development opportunities.
io Mosaic Corporation is a rapidly growing company providing consulting services in the areas of process safety and risk management in the oil, gas, petrochemical and chemical industries. Based at io Mosaic in Bath, you will be a member of a wider multidisciplinary team, as well as working with the software project team in the UK and US.
The ideal candidate will have:
- A Masters or PhD level qualification in Chemical or Mechanical Engineering.
- Experience or strong interest in programming, modelling, or simulation (e.g. Python, MATLAB, C++, or similar platforms).
- Familiarity with numerical or simulation tools such as ANSYS, ASPEN, COMSOL, or OpenFOAM.
- Proven skills in AI and machine learning.
You will play a major role in the KTP and engage with multiple stakeholders, so must have excellent communication and organisational skills.
About KTPsAs a KTP Associate you will be the project lead, managing your own workload to ensure outputs align with project expectations, including leading on meetings. You will also acquire new skills in strategic leadership that can help to super‑charge your career.
Additional benefits of being a KTP Associate:
- All KTP Associates spend 10% of their time on Personal Development, making full use of a generous £2,000 annual personal development budget.
- Access to two 1-week residential training sessions at Ashorne Hill, aimed at developing project management skills.
- Potential to fast‑track a career into business, with an opportunity to gain a permanent job following the KTP.
- Access to a wealth of academic and industrial resources.
- Access to a Travel & Subsistence budget.
- Access to mentoring and coaching sessions through Innovate UK Business Connect.
As a KTP Associate you can enjoy the benefits of being an employee at the University of Bath whilst working full‑time at io Mosaic.
This is a full‑time in‑office role based at the company offices in Bath and the University of Bath.
You will be entitled to…
Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
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