At a Glance
- Tasks: Develop models and simulations to optimise synthetic fuel processes and enhance operational efficiency.
- Company: Rivan Industries, a pioneering synthetic fuel company focused on decarbonising heavy industry.
- Benefits: Competitive salary, innovative projects, and the chance to make a real environmental impact.
- Other info: Join a dynamic team with ambitious growth plans and opportunities for career advancement.
- Why this job: Be a key player in revolutionising energy with cutting-edge technology and sustainable solutions.
- Qualifications: 3-7 years in computational science or process engineering, with a focus on solid-gas systems.
The predicted salary is between 36000 - 60000 £ 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.
- 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 employer: Euraxess
Rivan Industries is an exceptional employer for those passionate about sustainability and innovation in the synthetic fuel sector. With a strong commitment to employee growth, we offer a collaborative work culture that encourages curiosity and creativity, allowing you to make a tangible impact on decarbonising heavy industry. Located at the forefront of technological advancement, our team benefits from unique opportunities to work on groundbreaking projects, including the UK's largest synthetic fuel plant, while enjoying a supportive environment that values every contribution.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Rivan Industries. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your past projects related to computational science. This is your chance to demonstrate how you can be the puppet master they’re looking for.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing answers to common questions about process modelling and optimisation. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Rivan team and making an impact.
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 at Rivan.
Tailor Your Experience:Make sure to highlight your relevant experience in computational science and process modelling. We’re looking for specific examples that demonstrate your understanding of solid-gas systems and system optimisation, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see how you fit into the role and what you can bring to the team.
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. We can’t wait to see what you’ve got!
How to prepare for a job interview at Euraxess
✨Know Your Stuff
Make sure you brush up on your knowledge of solid-gas systems, especially calcination, hydration, and carbonation. Rivan Industries is looking for someone who can demonstrate a solid understanding of these processes, so be ready to discuss your past experiences and how they relate to the role.
✨Show Off Your Modelling Skills
Prepare to talk about your experience with process modelling tools like MATLAB, Aspen Plus, or COMSOL. Bring examples of projects where you've built or refined models, and be ready to explain your thought process and the outcomes of your work.
✨Be Curious and Engaged
Rivan wants a curious mind that can identify integration pinch points and performance ceilings. During the interview, ask insightful questions about their current projects and challenges. This shows you're genuinely interested in the role and ready to contribute.
✨Collaborate Like a Pro
Since the role involves working cross-functionally, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated with experimental and design teams in the past, and highlight any successful outcomes from those partnerships.
