Computational Scientist — Process Modelling & Optimisation

Rivan Industries; Greater London; On-site; GBP 70,000 - 80,000; Full time

Benefits offered by this job

Significant share options

Extensive relocation support

Extra £6000 per year for living close to HQ

Job summary

A pioneering synthetic fuel company in Greater London seeks a computational scientist to develop process models for its Direct Air Capture (DAC) technology. The role requires 3-7 years of experience in process modelling and a strong background in chemical engineering. The candidate will work cross-functionally to validate models and develop simulation tools. With a salary of £70-80k and significant share options, this position offers extensive relocation support for those willing to work in-person.

Qualifications

• 3–7 years of experience in process modelling, computational science, or chemical/process engineering R&D.
• Proven experience with MATLAB, Aspen Plus/HYSYS, and/or COMSOL.
• Strong background in heat and mass transfer, reaction engineering, and first-principles modelling.

Responsibilities

• Develop and refine process models for Rivan’s lime-based DAC process.
• Perform heat and mass transfer calculations, dynamic simulations, and optimisation studies.
• Build and maintain modular simulation tools for assessments.

Skills

Process modelling

Computational science

Chemical/process engineering R&D

MATLAB

Aspen Plus

Python

Heat and mass transfer

First-principles modelling

Education

Bachelor’s/Master’s in Chemical Engineering

PhD in related field

Tools

Aspen Plus/HYSYS

COMSOL

ANSYS Fluent

Job description

A pioneering synthetic fuel company in Greater London seeks a computational scientist to develop process models for its Direct Air Capture (DAC) technology. The role requires 3-7 years of experience in process modelling and a strong background in chemical engineering. The candidate will work cross-functionally to validate models and develop simulation tools. With a salary of £70-80k and significant share options, this position offers extensive relocation support for those willing to work in-person.