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- Tasks: Conduct cutting-edge research in neuro-symbolic AI and collaborate with top researchers.
- Company: Prestigious research institution in London with a focus on innovation.
- Benefits: Flexible working hours, potential contract extension, and opportunities for publication.
- Why this job: Join a leading team and contribute to groundbreaking advancements in AI technology.
- Qualifications: PhD in relevant field with expertise in semantic technologies and AI.
- Other info: Engage in knowledge workshops and enjoy a dynamic research environment.
The predicted salary is between 36000 - 60000 £ per year.
A prestigious research institution in London is seeking a postdoctoral research associate to conduct research in neuro-symbolic AI, focusing on generative AI and information integrity. The ideal candidate holds a PhD and has expertise in semantic technologies and AI practices.
The position entails:
- Collaboration with researchers
- Publication of findings
- Engagement in knowledge workshops
This full-time role allows for flexibility and potential contract extension depending on funding availability.
Neuro-Symbolic AI Researcher – Semantic Tech & LLMs employer: Polytechnicpositions
Contact Detail:
Polytechnicpositions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Neuro-Symbolic AI Researcher – Semantic Tech & LLMs
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in the neuro-symbolic AI field. Attend workshops or conferences where you can chat with potential collaborators and showcase your expertise.
✨Tip Number 2
Showcase your work! Create a portfolio of your research, publications, and projects related to semantic technologies and generative AI. This will help you stand out when discussing your experience during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to AI practices and be ready to discuss your research in detail. We recommend practising with a friend or using mock interview platforms.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and contributing to cutting-edge research.
We think you need these skills to ace Neuro-Symbolic AI Researcher – Semantic Tech & LLMs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in neuro-symbolic AI and semantic technologies. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and information integrity. We love seeing candidates who can articulate their vision and how they can contribute to our research community.
Showcase Collaboration Skills: Since this role involves working closely with other researchers, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others in the past!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Polytechnicpositions
✨Know Your Stuff
Make sure you brush up on your knowledge of neuro-symbolic AI and generative AI. Be ready to discuss your PhD research and how it relates to semantic technologies. This shows that you're not just familiar with the field, but that you're genuinely passionate about it.
✨Collaborate Like a Pro
Since the role involves collaboration with other researchers, think of examples from your past experiences where you've successfully worked in a team. Be prepared to share how you can contribute to a collaborative environment and what you can bring to the table.
✨Showcase Your Publications
If you've published any papers or findings, make sure to highlight them during the interview. Discussing your work will demonstrate your expertise and commitment to advancing knowledge in the field. It’s also a great way to show your potential for future publications.
✨Engage in Knowledge Sharing
Since the position involves engaging in knowledge workshops, think about how you can contribute to these sessions. Prepare some ideas on topics you could present or lead discussions on, showing that you're eager to share your insights and learn from others.
