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- Tasks: Develop simulations and AI solutions on high-performance computing machinery.
- Company: A leading UK university known for its innovative research.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge project and make a real impact in the world of research.
- Qualifications: Experience in software engineering and a passion for AI and simulations.
- Other info: Collaborative environment with a focus on research training and development.
The predicted salary is between 38784 - 46049 £ per year.
A prominent UK university in the North East is seeking a Research Software Engineer for its Advanced Research Computing directorate. This role involves working within the SHAREing project team, focusing on developing a landscape for simulations and AI on HPC machinery. The successful candidate will engage with project stakeholders and contribute to creating materials for research training and performance assessments. This is a full-time, flexible role with an expected salary between £38,784 and £46,049.
Hybrid HPC Research Software Engineer - AI & Simulations employer: Durham University
Contact Detail:
Durham University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid HPC Research Software Engineer - AI & Simulations
✨Tip Number 1
Network like a pro! Reach out to folks in the HPC and AI fields, especially those connected to the university. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects related to simulations and AI. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to pop up. Reach out directly to the research teams at the university. Express your interest in their work and ask if they have any upcoming projects where you could contribute.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application. Plus, it shows you’re serious about joining our team and helps us keep track of your application more efficiently.
We think you need these skills to ace Hybrid HPC Research Software Engineer - AI & Simulations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in HPC, AI, and simulations. We want to see how your skills align with the SHAREing project, so don’t be shy about showcasing your past projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. We love seeing genuine enthusiasm for research and collaboration.
Showcase Your Communication Skills: Since you'll be engaging with project stakeholders, it's important to demonstrate your ability to communicate complex ideas clearly. We recommend including examples of how you've successfully collaborated in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Durham University
✨Know Your HPC Basics
Make sure you brush up on your high-performance computing (HPC) knowledge. Understand the fundamentals of how simulations and AI work on HPC machinery, as this will likely come up in your interview. Being able to discuss specific technologies or frameworks can really impress the interviewers.
✨Engage with Stakeholders
Since the role involves engaging with project stakeholders, think about how you would approach collaboration. Prepare examples from your past experiences where you successfully worked with different teams or individuals. This shows that you can communicate effectively and understand the importance of teamwork.
✨Prepare for Technical Questions
Expect some technical questions related to software engineering and AI. Brush up on relevant programming languages and tools that are commonly used in research software engineering. Practising coding problems or discussing algorithms can help you feel more confident during the technical part of the interview.
✨Showcase Your Training Materials Experience
Since you'll be contributing to creating materials for research training, think about any experience you have in developing training resources or conducting workshops. Be ready to share your ideas on how to make complex topics accessible to others, as this will demonstrate your ability to communicate effectively in a research environment.