Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop software solutions for impactful research in a collaborative environment.
- Company: Leading UK higher education institution focused on digital data research.
- Benefits: Competitive salary, professional development, and a chance to work on world-class initiatives.
- Why this job: Contribute to groundbreaking research while honing your programming skills.
- Qualifications: Strong programming skills in Python, R, and C++, plus data analysis experience.
- Other info: Join a dynamic team dedicated to advancing digital data research.
The predicted salary is between 40000 - 50000 £ per year.
A leading UK higher education institution is seeking a Research Software Engineer to support its new Centre for Digital Data Research. This role involves designing and developing software solutions to facilitate impactful research.
The ideal candidate will have strong programming skills in Python, R, and C++, along with a solid background in data analysis. This is an exciting opportunity to contribute to world-class research initiatives in a collaborative environment.
Research Software Engineer — Data-Driven Research & AI in Manchester employer: The Manchester Metropolitan University
Contact Detail:
The Manchester Metropolitan University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer — Data-Driven Research & AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, R, and C++. This not only highlights your programming prowess but also demonstrates your ability to tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your data analysis techniques and coding challenges. Practice common interview questions related to software engineering and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Research Software Engineer — Data-Driven Research & AI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python, R, and C++. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or research you've been involved in.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Research Software Engineer position and how you can contribute to our Centre for Digital Data Research. Keep it engaging and personal!
Showcase Your Data Analysis Skills: Since this role involves data-driven research, make sure to highlight any experience you have with data analysis. Whether it's through coursework, projects, or previous jobs, we want to see how you’ve tackled data challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at The Manchester Metropolitan University
✨Know Your Tech Stack
Make sure you brush up on your programming skills in Python, R, and C++. Be ready to discuss specific projects where you've used these languages, and think about how they relate to the role. This will show that you’re not just familiar with the tech but can apply it effectively.
✨Showcase Your Data Analysis Skills
Prepare examples of how you've tackled data analysis challenges in the past. Whether it's a project from university or a personal endeavour, be ready to explain your thought process and the impact of your work. This will demonstrate your ability to contribute to impactful research.
✨Understand the Research Environment
Familiarise yourself with the current trends in digital data research and AI. Knowing what’s happening in the field will help you engage in meaningful conversations during the interview and show your genuine interest in contributing to their initiatives.
✨Emphasise Collaboration
Since this role involves working in a collaborative environment, be prepared to discuss your experience working in teams. Share examples of how you’ve successfully collaborated with others, especially in research settings, to highlight your teamwork skills.