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- Tasks: Conduct independent research on AI applications in neuroscience and analyse brain imaging data.
- Company: Leading research university in Glasgow with a focus on innovation.
- Benefits: Competitive salary, opportunities for student mentoring, and academic growth.
- Why this job: Join a pioneering team and make a difference in neuroscience with AI.
- Qualifications: Strong data analysis skills and experience with fMRI or fNIRS required.
- Other info: Dynamic research environment with excellent career development opportunities.
The predicted salary is between 30000 - 42000 £ per year.
A leading research university in Glasgow seeks an early-career researcher for a position focusing on AI applications in neuroscience. The role requires strong expertise in data analysis, experience with fMRI or fNIRS, and the ability to conduct independent research. Candidates will contribute to both research outputs and student mentoring. This full-time position offers a competitive salary within Grade 6/7. Detailed skills related to communication and teamwork are essential, alongside a passion for academic excellence.
Research Assistant/Associate: Brain Imaging + AI Analytics 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 Assistant/Associate: Brain Imaging + AI Analytics in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the university, especially those in neuroscience or AI. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills and understanding fMRI/fNIRS techniques. We want to show that we’re not just passionate but also knowledgeable about the tools and methods used in the field.
✨Tip Number 3
Showcase our teamwork and communication skills during the interview. Think of examples where we’ve successfully collaborated or mentored others, as these are key traits they’re looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining their team.
We think you need these skills to ace Research Assistant/Associate: Brain Imaging + AI Analytics in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and any relevant work with fMRI or fNIRS. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI applications in neuroscience and how you can contribute to our research outputs. Let us know what makes you tick!
Show Off Your Communication Skills: Since teamwork and communication are key, make sure to include examples of how you've successfully collaborated with others in your previous roles. We love to see candidates who can work well with students and colleagues alike!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at University of Glasgow
✨Know Your Stuff
Make sure you brush up on your knowledge of AI applications in neuroscience, especially related to fMRI and fNIRS. Be ready to discuss your previous research experiences and how they relate to the role. This shows you’re not just interested but also knowledgeable!
✨Show Off Your Data Skills
Since the position requires strong expertise in data analysis, prepare to talk about specific tools and techniques you’ve used. Bring examples of past projects where you successfully analysed data and how it contributed to your research outcomes.
✨Communication is Key
This role involves mentoring students, so highlight your communication skills. Think of examples where you’ve effectively explained complex concepts to others or worked collaboratively in a team. This will demonstrate your ability to engage with students and colleagues alike.
✨Passion for Research
Let your enthusiasm for academic excellence shine through! Share what excites you about the field of neuroscience and AI. Discuss any recent developments or papers that have inspired you, showing that you’re actively engaged in the research community.
