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- Tasks: Lead collaborative research projects in AI and data science while supporting training initiatives.
- Company: A leading research university in the UK with a focus on impactful research.
- Benefits: Competitive salary aligned with Grade 8 UK academic positions and dynamic work environment.
- Why this job: Make a real impact in cutting-edge research while collaborating with experts in the field.
- Qualifications: PhD in a relevant field and strong programming skills required.
- Other info: Join a vibrant team dedicated to advancing knowledge in AI and data science.
The predicted salary is between 36000 - 60000 £ per year.
A leading research university in the UK is seeking a qualified candidate for a role within the Centre for Data Science and AI. This position involves leading collaborative research projects, providing expertise in data science and AI, and supporting training initiatives.
Ideal candidates will have a PhD in a relevant field and strong programming skills. The role offers a dynamic work environment focused on impactful research, with a competitive salary in line with Grade 8 UK academic positions.
Research Software Engineer - AI, HPC & Data Science Flexible in Glasgow employer: University of Glasgow
Contact Detail:
University of Glasgow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer - AI, HPC & Data Science Flexible in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the research and AI community. Attend conferences, webinars, or local meetups to meet potential collaborators and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to data science and AI. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in the field. Practice explaining your research and how it applies to real-world problems. We want you to shine when it’s your turn 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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Software Engineer - AI, HPC & Data Science Flexible in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any programming projects you've tackled.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about research and how you can contribute to our Centre for Data Science and AI. Keep it engaging and personal – we love to see your personality!
Showcase Collaborative Experience: Since this role involves leading collaborative projects, make sure to mention any teamwork experiences. We’re interested in how you’ve worked with others in the past, especially in research settings, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our team!
How to prepare for a job interview at University of Glasgow
✨Know Your Research
Make sure you’re well-versed in the latest trends and breakthroughs in AI, HPC, and data science. Familiarise yourself with the university's recent projects and publications to show your genuine interest and how you can contribute.
✨Showcase Your Programming Skills
Prepare to discuss your programming experience in detail. Bring examples of your work or projects that highlight your coding abilities, especially in languages relevant to the role. This will demonstrate your technical expertise and problem-solving skills.
✨Collaborative Spirit
Since the role involves leading collaborative research projects, be ready to share examples of past teamwork experiences. Highlight how you’ve successfully worked with others, resolved conflicts, and contributed to a positive team dynamic.
✨Engage with Training Initiatives
As the position supports training initiatives, think about how you can contribute to this aspect. Prepare ideas on how you would approach training others in data science and AI, showcasing your passion for knowledge sharing and mentorship.