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- Tasks: Build models and simulations to optimise synthetic fuel processes and operations.
- Company: Join Rivan Industries, a pioneering synthetic fuel company focused on decarbonising heavy industry.
- Benefits: Competitive salary, significant share options, and relocation support for living near HQ.
- Why this job: Be a key player in revolutionising energy with impactful technology and innovative solutions.
- Qualifications: 3-7 years in process modelling; degree in Chemical Engineering or related field required.
- Other info: Work in a dynamic environment with opportunities for growth and collaboration.
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’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, 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:
- £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 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: Euraxess
Contact Detail:
Euraxess Recruiting Team
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 people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your modelling projects and simulations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to Rivan's work. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to decarbonise heavy industry.
We think you need these skills to ace Computational Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Computational Scientist role. Highlight your experience in process modelling and computational science, and show us how your skills align with our mission at Rivan Industries.
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Include specific examples of projects where you used MATLAB, Aspen Plus, or Python. We want to see how you've tackled challenges in heat and mass transfer or reaction engineering.
Be Curious: We love a curious mind! In your application, share instances where you’ve explored integration pinch points or optimised processes. This will show us that you’re not just about the numbers but also about understanding the bigger picture.
Apply Through Our Website: Remember to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Euraxess
✨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 Technical Skills
Prepare to demonstrate your proficiency with tools like MATLAB, Aspen Plus, or Python. You might be asked to solve a problem or discuss a project where you used these tools. Bring along any relevant work samples or projects that highlight your skills in model validation and optimisation.
✨Understand the Company’s Vision
Familiarise yourself with Rivan Industries’ mission to decarbonise heavy industry. Be ready to discuss how your role as a computational scientist can contribute to this vision. Showing genuine interest in their goals will set you apart from other candidates.
✨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 prepared to share examples of how you’ve successfully collaborated with others to validate models or refine processes. This will demonstrate your ability to work effectively within a team.