At a Glance
- 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, private health insurance, and unlimited time off.
- Other info: Flexible work arrangements and extensive relocation support available.
- Why this job: Be a key player in revolutionising energy and making a real impact on the planet.
- Qualifications: 3-7 years in computational science or chemical engineering; experience with MATLAB and Python preferred.
The predicted salary is between 70000 - 90000 £ 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:
- £70-90k Salary depending on experience.
- Significant share options as part of the early team.
- In-person work at our HQ in Bermondsey, South-East London – flexibility considered based on personal circumstances.
- Private health insurance.
- Extensive relocation support, including £6000 per year extra to live close to our HQ.
- Unlimited time off.
Computational Scientist in London employer: Rivan
Rivan Industries is an exceptional employer, offering a unique opportunity to work at the forefront of decarbonisation in heavy industry. With a strong focus on employee growth, we provide significant share options, private health insurance, and unlimited time off, fostering a supportive and flexible work culture in our Bermondsey HQ. Join us to be part of a pioneering team that values curiosity and innovation while making a meaningful impact on the planet.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with Rivan employees on LinkedIn. 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 you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by diving deep into Rivan’s projects and their tech. Be ready to discuss how your experience aligns with their goals, especially around process modelling and optimisation.
✨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 the Rivan team.
We think you need these skills to ace Computational Scientist in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for decarbonisation and synthetic fuels shine through. We want to see that you’re genuinely excited about the impact of your work and how it aligns with our mission at Rivan.
Tailor Your Experience:Make sure to highlight your relevant experience in process modelling and computational science. We’re looking for specific examples that demonstrate your skills with tools like MATLAB or Python, so don’t hold back on the details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your qualifications without wading through fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 during your interview. Being able to discuss specific examples of how you've applied these concepts in past projects will show your expertise.
✨Showcase Your Computational Skills
Be prepared to talk about your experience with tools like MATLAB, Aspen Plus, or Python. Bring examples of simulations or models you've built, and be ready to explain your thought process behind them. This will demonstrate not just your technical skills but also your problem-solving abilities.
✨Understand the Bigger Picture
Rivan is all about decarbonising heavy industry, so it’s crucial to understand their mission and how your role as a computational scientist fits into that. Research their recent projects, like the UK’s largest synthetic fuel plant, and think about how your work could contribute to scaling up their operations.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with experimental and design teams, think about your past experiences in cross-functional settings. Be ready to share how you’ve successfully collaborated with others to validate models or refine processes. This will highlight your teamwork skills and adaptability.
