At a Glance
- Tasks: Develop a 2D solver for fluid flow in porous media using boundary element methods.
- Company: Join SLB, a global leader in energy innovation and technology.
- Benefits: Gain hands-on experience, mentorship, and a chance to impact energy solutions.
- Other info: Inclusive workplace with opportunities for growth and learning.
- Why this job: Make a difference in energy sustainability while enhancing your technical skills.
- Qualifications: Pursuing a Masters in Applied Mathematics, Numerical Analysis, or Software Engineering.
The predicted salary is between 20000 - 30000 £ per year.
Location: Abingdon, Oxfordshire
Description & Scope: The internship project focuses on developing a 2D solver for fluid flow in porous media as a simplified reservoir model. The solver will be based on the boundary element method (BEM), offering an efficient approach for simulating flow without the need for full volumetric discretization. An important aspect of the project is enabling the solver to handle embedded elements, such as wells and fractures, which play a critical role in controlling flow behavior. The scope includes implementing the core solver, extending it to represent these embedded features, and validating the results on simplified test cases. This work will provide the intern with hands-on experience in scientific computing, numerical methods, and reservoir modeling, while contributing a practical tool for exploring innovative simulation techniques.
Responsibilities:
- Contribute to the extension of an existing 2D boundary element solver for fluid flow in porous media.
- Add support for embedded elements such as wells and fractures, ensuring that these features are correctly represented in the simulation.
- Implement the new functionality, test it on simple cases, and document the results.
- Deliver an extended solver prototype, validation of results.
- Create a technical report.
Through this project, the student will gain valuable experience in numerical modeling, scientific programming, and applied mathematics. They will also learn how to incorporate physical features like wells and fractures into simulation tools, and how simplified reservoir models can be used to study complex subsurface behavior. By the end of the internship, the student will have hands-on experience enhancing a solver that connects theory, coding, and reservoir applications.
Qualifications:
- Studying a Masters in Applied Mathematics, Numerical Analysis, Software Engineering or a related discipline.
- Partial Differential Equations.
- Numerical Analysis.
- Software Engineering.
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. The recruiting process and the position can be adapted to fit most disabilities; please do not hesitate to mention this when applying.
Computational Software Engineer Intern (3 months) in Abingdon employer: SLB
SLB is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring Computational Software Engineers. Located in Abingdon, Oxfordshire, the company offers a unique opportunity to work on cutting-edge technology aimed at decarbonising the energy sector while providing hands-on experience in scientific computing and numerical methods. With a commitment to employee growth and a diverse, inclusive environment, SLB empowers interns to contribute meaningfully to projects that have a positive impact on both people and the planet.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Software Engineer Intern (3 months) in Abingdon
✨Tip Number 1
Network like a pro! Reach out to current or former interns at SLB on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your knowledge of numerical methods and programming skills. Practice coding challenges related to fluid dynamics or boundary element methods. We want you to shine in those interviews!
✨Tip Number 3
Showcase your projects! If you've worked on relevant coursework or personal projects, be ready to discuss them. Highlight how your experience aligns with the internship's focus on scientific computing and reservoir modelling.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining SLB. Don’t forget to tailor your application to reflect your passion for energy innovation!
We think you need these skills to ace Computational Software Engineer Intern (3 months) in Abingdon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Computational Software Engineer Intern role. Highlight relevant skills like numerical analysis and software engineering, and don’t forget to mention any experience with fluid flow or porous media if you have it!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about energy innovation and how your background in applied mathematics or software engineering makes you a great fit for this internship.
Showcase Your Projects:If you've worked on any projects related to scientific computing or numerical methods, be sure to include them. We love seeing practical examples of your work that demonstrate your problem-solving skills and technical abilities.
Apply Through Our Website: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 us you’re serious about joining our team at SLB.
How to prepare for a job interview at SLB
✨Know Your Stuff
Make sure you brush up on your knowledge of boundary element methods and fluid flow in porous media. Familiarise yourself with the key concepts and be ready to discuss how they apply to the internship project. This will show that you're genuinely interested and prepared.
✨Showcase Your Skills
Prepare to talk about your experience with numerical analysis and software engineering. Bring examples of past projects or coursework that demonstrate your coding skills and understanding of applied mathematics. This is your chance to shine!
✨Ask Smart Questions
Think of insightful questions to ask during the interview. Inquire about the specific challenges the team faces with the solver or how they validate their results. This shows that you're engaged and thinking critically about the role.
✨Be Yourself
While it's important to be professional, don't forget to let your personality shine through. SLB values innovation and collaboration, so showing your enthusiasm and willingness to learn can make a great impression. Just be genuine!
