KTP Associate: ML & Computational Modelling Engineer

Bath; Bath; On-site; GBP 35,000 - 45,000; Full time

Benefits offered by this job

Pension scheme

Cycle to work

Electric vehicle salary sacrifice

Staff gym and discounts

Professional development opportunities

Tuition and language courses

Job summary

ioMosaic is seeking a KTP Associate in Machine Learning/Computational Modelling for a 29‑month, full‑time placement based at Bath. The role blends AI for chemical engineering to enhance process safety and sustainability, with academic support from the University of Bath.

You will lead the project at ioMosaic, collaborating with university and industry teams to develop a tool for decision‑making in process safety engineering and advance your career.

Qualifications

• This role requires a Masters or PhD in Chemical or Mechanical Engineering.
• Experience or strong interest in programming, modelling, or simulation (Python, MATLAB, C++, or similar).
• Familiarity with numerical or simulation tools such as ANSYS, ASPEN, COMSOL, or OpenFOAM.
• Proven skills in AI and machine learning.

Responsibilities

• Lead the KTP project, coordinating with ioMosaic, University of Bath and other stakeholders.
• Develop AI/ML based tools to aid decision-making in process safety engineering.
• Contribute to knowledge transfer between academic and industrial partners.

Skills

Programming

AI/ML

Numerical simulation

Communication skills

Education

Masters or PhD in Chemical or Mechanical Engineering

Tools

Python

MATLAB

C++

OpenFOAM

Job description

ioMosaic is seeking a KTP Associate in Machine Learning/Computational Modelling for a 29‑month, full‑time placement based at Bath. The role blends AI for chemical engineering to enhance process safety and sustainability, with academic support from the University of Bath.

You will lead the project at ioMosaic, collaborating with university and industry teams to develop a tool for decision‑making in process safety engineering and advance your career.