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- Tasks: Conduct cutting-edge research and analyse data to drive innovation.
- Company: Renowned university with a strong focus on excellence and regional impact.
- Benefits: Attractive salary, professional development, and a vibrant academic community.
- Why this job: Join a dynamic team and contribute to impactful research projects.
- Qualifications: Experience in data science and a passion for research.
- Other info: Fixed-term role with opportunities for career advancement.
The predicted salary is between 40800 - 48900 £ per year.
Department/School: School of Computing, Engineering and Intelligent Systems
Campus: Derry Londonderry campus
Salary: Grade 8 (£48,822 per annum)
Duration: Fixed-term until 30th June 2029 / Full-time
Closing Date: 6th February 2026
Reference Number:
ABOUT US
We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge.
Research Fellow in Londonderry employer: Ulster University
Contact Detail:
Ulster University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in Londonderry
✨Tip Number 1
Network like a pro! Reach out to current or former Research Fellows in your field. A friendly chat can give us insights into the role and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by researching the INNOVATE+ Project. Knowing the ins and outs of what they do will show us that you're genuinely interested and ready to contribute.
✨Tip Number 3
Practice common interview questions with a mate. This will help us articulate our thoughts clearly and confidently when it’s our turn to shine in front of the panel.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows us you’re serious about joining our team.
We think you need these skills to ace Research Fellow in Londonderry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Fellow position. Highlight relevant experience and skills that align with the job description, especially in data science and research.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share your passion for research and how your background makes you an ideal candidate for the INNOVATE+ Project.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use specific examples of your work that demonstrate your impact in previous roles, particularly in research and innovation.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets the attention it deserves!
How to prepare for a job interview at Ulster University
✨Know Your Research
Make sure you’re well-versed in the latest developments in data science and how they relate to the INNOVATE+ Project. Familiarise yourself with the university's research outputs and be ready to discuss how your work can contribute to their goals.
✨Showcase Your Skills
Prepare to demonstrate your technical skills relevant to the role. Bring examples of your previous work, such as projects or publications, that highlight your expertise in data analysis, machine learning, or any other relevant areas.
✨Engage with the Interviewers
Don’t just answer questions; engage in a conversation. Ask insightful questions about the department’s current projects and future directions. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of specific examples from your past experiences where you successfully tackled challenges, particularly in research or data-driven environments.