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- Tasks: Develop 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, and relocation support for living near our HQ.
- Why this job: Be a key player in creating impactful solutions for a sustainable future.
- Qualifications: 3-7 years in computational science or chemical engineering; experience with MATLAB and Python required.
- Other info: Work in a dynamic environment with opportunities for significant career growth.
The predicted salary is between 60000 - 84000 £ 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’ve 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’ve recently deployed the UK’s largest synthetic fuel plant and are planning to 1000x this scale in the next 2 years.
We’re 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, and/or 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:
- £70-80k 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 £6000 per year extra to live close to our HQ.
Computational Scientist employer: Rivan
Contact Detail:
Rivan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with current employees at Rivan. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your modelling projects or simulations. This gives us a tangible way to see what you can do and how you think.
✨Tip Number 3
Prepare for the interview by diving deep into Rivan’s projects and values. We love candidates who are genuinely interested in our mission to decarbonise heavy industry and can discuss how their skills align with our goals.
✨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 serious about joining our team.
We think you need these skills to ace Computational Scientist
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for synthetic fuels and decarbonisation shine through. We want to see that you’re genuinely excited about the role and how your skills can contribute to our mission.
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 that you’ve got what it takes to excel in this role.
Be Specific in Your Cover Letter: In your cover letter, don’t just list your skills—give us examples of how you’ve used them in past projects. We love seeing concrete achievements that demonstrate your ability to tackle challenges similar to those at Rivan.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Rivan
✨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 in your interview. Be ready to discuss how you’ve applied these concepts in past projects.
✨Showcase Your Cross-Functional Experience
Rivan values collaboration across teams, so be prepared to share examples of how you've worked with experimental and design teams. Highlight any instances where your modelling work directly influenced plant operations or scale-up decisions.
✨Demonstrate Your Technical Skills
Familiarise yourself with the tools mentioned in the job description, like MATLAB, Aspen Plus, and Python. If you have experience with custom simulation tools, be ready to discuss specific projects where you used these skills to solve complex problems.
✨Prepare Questions About Their Vision
Rivan is on a mission to decarbonise heavy industry, so show your enthusiasm for their goals. Prepare thoughtful questions about their plans for scaling up and how your role as a computational scientist can contribute to their vision. This shows you’re not just interested in the job, but also in the company’s impact.
