Computational Scientist in London

Computational Scientist in London

London Full-Time 60000 - 84000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Build models and simulations to optimise synthetic fuel processes and enhance operational efficiency.
  • Company: Join Rivan Industries, a pioneering synthetic fuel company focused on decarbonising heavy industry.
  • Benefits: Competitive salary, share options, relocation support, and a vibrant work environment in London.
  • Why this job: Be a key player in revolutionising energy and making a real impact on the planet's future.
  • Qualifications: 3-7 years in process modelling; degree in Chemical Engineering or related field required.
  • Other info: Dynamic team with opportunities for growth and innovation in a cutting-edge industry.

The predicted salary is between 60000 - 84000 ÂŁ per year.

Rivan Industries (Rivan.com) is a synthetic fuel company designed to decarbonise heavy industry. We aim to make synthetic fuel cheaper than fossil fuels and sustain life on earth by keeping the CO2 locked underground. We have designed and manufactured modular synthetic fuel plants consisting of a DAC system, an Alkaline Electrolyser, and a Sabatier Reactor, vertically integrating with off‐grid DC solar and the European gas‐grid. We have recently deployed the UK’s largest synthetic fuel plant and are planning to 1000x this scale in the next 2 years.

We are looking for a computational scientist to build models and simulations on top of our operational data to direct where we spend our next resources. We need a curious mind that wants to find every integration pinch point, performance ceiling, and fragile operation before it becomes an issue.

The role:

  • Develop and refine process models for Rivan's lime‐based Direct Air Capture (DAC) process, integrating thermodynamics, kinetics, and transport phenomena.
  • Perform first‐principles heat and mass transfer calculations, dynamic process simulations, and optimisation studies.
  • Work cross‐functionally with experimental and design teams to validate models against empirical data, refine process understanding, and inform plant operation and scale‐up.
  • Build and maintain modular simulation tools (e.g. MATLAB, Aspen Plus, COMSOL, or custom Python models) to support techno‐economic and performance assessments.

Core skills:

  • 3–7 years experience in process modelling, computational science or chemical/process engineering R&D.
  • Bachelor's/Master's in Chemical Engineering, Process Systems Engineering or related field (PhD advantageous).
  • Proven experience with MATLAB, Aspen Plus/HYSYS, COMSOL, ANSYS Fluent, or Python.
  • Strong background in heat and mass transfer, reaction engineering, and first‐principles modelling (PDEs, reaction kinetics, etc.).
  • Experience in model validation with lab or pilot data; understanding of solid–gas systems (calcination, hydration, carbonation); and past demonstration of system optimisation preferred.

Specifics & Benefits:

  • ÂŁ70–80k salary depending on experience.
  • Significant share options as part of the early team.
  • In‐person work at our HQ in Bermondsey, South‐East London.
  • Extensive relocation support, including ÂŁ6,000 per year extra to live close to our HQ.

Languages: ENGLISH – Level Excellent.

Eligibility criteria:

  • 3–7 years experience in process modelling, computational science or chemical/process engineering R&D.
  • Bachelor's/Master's in Chemical Engineering, Process Systems Engineering or related field (PhD advantageous).
  • Proven experience with MATLAB, Aspen Plus/HYSYS, COMSOL, ANSYS Fluent or Python.
  • Strong background in heat and mass transfer, reaction engineering, and first‐principles modelling (PDEs, reaction kinetics, etc.).
  • Experience in model validation with lab or pilot data; understanding of solid–gas systems (calcination, hydration, carbonation); and past demonstration of system optimisation preferred.

Selection process: Written application online, asynchronous questions, interviews, in‐person task.

Computational Scientist in London employer: Rivan Industries Ltd

Rivan Industries is an exceptional employer for a Computational Scientist, offering a unique opportunity to contribute to the decarbonisation of heavy industry through innovative synthetic fuel technology. With a competitive salary, significant share options, and extensive relocation support, employees thrive in a collaborative work culture at our Bermondsey HQ, where curiosity and creativity are encouraged. Join us to be part of a pioneering team that values your growth and empowers you to make a meaningful impact on the future of sustainable energy.
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Contact Detail:

Rivan Industries Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Computational Scientist in London

✨Tip Number 1

Get your networking game on! Reach out to folks in the industry, especially those at Rivan or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio of projects or simulations you’ve worked on, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion for computational science.

✨Tip Number 3

Prepare for those technical questions! Brush up on your knowledge of heat and mass transfer, and be ready to discuss how you’d approach modelling challenges. We want to see your thought process in action!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to decarbonise heavy industry.

We think you need these skills to ace Computational Scientist in London

Process Modelling
Computational Science
Chemical Engineering
MATLAB
Aspen Plus
COMSOL
Python
Heat Transfer
Mass Transfer
Reaction Engineering
First-Principles Modelling
Model Validation
Solid-Gas Systems Understanding
System Optimisation

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for computational science and sustainable energy shine through. We want to see that you’re genuinely excited about the role and how it fits into our mission at Rivan Industries.

Tailor Your CV: Make sure your CV is tailored to highlight your experience in process modelling and computational science. Use keywords from the job description to show us you’ve got the skills we’re looking for. It’s all about making it easy for us to see why you’re a great fit!

Be Clear and Concise: Keep your written application clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and qualifications. Avoid fluff – we want to know what you can bring to the table!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do.

How to prepare for a job interview at Rivan Industries Ltd

✨Know Your Models Inside Out

Make sure you’re well-versed in the process models relevant to Rivan's DAC technology. Brush up on thermodynamics, kinetics, and transport phenomena, as these will likely come up during your interview. Be ready to discuss how you've applied these concepts in past projects.

✨Showcase Your Technical Skills

Prepare to demonstrate your proficiency with tools like MATLAB, Aspen Plus, or Python. You might be asked to solve a problem on the spot, so practice coding or modelling scenarios that could relate to the role. Highlight any past experiences where you’ve used these tools effectively.

✨Understand the Bigger Picture

Rivan is all about decarbonisation and sustainability, so do your homework on their mission and recent projects. Be prepared to discuss how your work as a computational scientist can contribute to their goals. Showing genuine interest in their vision will set you apart.

✨Prepare for Cross-Functional Collaboration

Since the role involves working with experimental and design teams, think of examples from your past where you successfully collaborated across disciplines. Be ready to discuss how you can bridge the gap between computational science and practical application in the field.

Computational Scientist in London
Rivan Industries Ltd
Location: London
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