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- Tasks: Research and develop cutting-edge AI algorithms for educational assessments.
- Company: Join AQA, a leader in education, collaborating with King's College London.
- Benefits: Enjoy flexible working, 25-30 days leave, health coverage, and eco-friendly transport options.
- Why this job: Make a real-world impact in education while advancing your career in AI research.
- Qualifications: PhD or equivalent experience in NLP, AI, or related fields required.
- Other info: Submit your CV, cover letter, and previous work example by 17th April.
The predicted salary is between 38000 - 44000 £ per year.
Imagine shaping the future of AI in education. What if your research could unlock innovative assessment that is fair, explainable, and high-quality? Join us in a pioneering project that merges advanced AI with educational assessment, making a real-world impact.
At AQA, in collaboration with King's College London, we are developing a cutting-edge AI system to assist human experts in their work. You will be at the forefront of AI research, designing state-of-the-art algorithms with real-world applications.
What You'll Do- Research, design, implement, and test NLP algorithms for AI-driven assessment.
- Collaborate with AQA assessment experts to ensure AI solutions align with real-world needs.
- Develop interactive front-end and back-end solutions to refine AI models with human feedback.
- Publish research findings, contribute to academic discussions, and present at conferences.
- Enjoy a flexible work environment with a 35-hour week and extensive opportunities for professional and personal development.
- Access to an enhanced contributory pension scheme which could see you paying in 7% and AQA contributing 11.5% (Other options are available).
- Receive 25 days of annual leave, increasing to 30 days with service, plus bank holidays and additional Christmas office closure.
- Comprehensive health coverage from day one, including Bupa PMI, Health Cash Plan, and Life Assurance.
- Participate in eco-friendly transport schemes, including electric vehicles and cycle-to-work options.
- A PhD (or equivalent experience) in NLP, AI, or a related field.
- A strong research record, evidenced by publications or equivalent contributions.
- Proficiency in NLP techniques, research methodologies, and AI applications.
- The ability to communicate complex findings to technical and non-technical stakeholders.
How do I apply? Read the full job description and upload your most recent CV and cover letter by following the link provided. As part of your application please also include an example of your previous work on NLP or AI (e.g. conference paper, github repository, jupyter notebook or similar). Closing date for applications will be Thursday 17th April. AQA is an equal opportunity employer committed to fostering an inclusive and diverse workplace where everyone-regardless of religion, ethnicity, gender identity or expression, age, disability, sexual orientation, or background-is valued, respected, and supported to thrive.
AI for Assessment Researcher in Manchester employer: AQA
Contact Detail:
AQA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI for Assessment Researcher in Manchester
✨Tip Number 1
Network with professionals in the AI and education sectors. Attend relevant conferences or webinars where you can meet experts and discuss your interests in NLP and AI applications. This can help you gain insights into the field and potentially lead to referrals.
✨Tip Number 2
Engage with the latest research in AI and NLP by following key publications and authors in the field. This will not only enhance your knowledge but also prepare you for discussions during interviews, showcasing your passion and commitment to staying updated.
✨Tip Number 3
Prepare to demonstrate your technical skills through practical examples. Be ready to discuss your previous work on NLP or AI, highlighting specific challenges you faced and how you overcame them. This will show your problem-solving abilities and hands-on experience.
✨Tip Number 4
Familiarise yourself with AQA's current projects and their approach to AI in education. Tailoring your conversations and questions during interviews to reflect your understanding of their work can set you apart as a candidate who is genuinely interested in contributing to their mission.
We think you need these skills to ace AI for Assessment Researcher in Manchester
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and requirements. This will help you tailor your application to highlight relevant skills and experiences.
Craft a Tailored CV: Ensure your CV reflects your qualifications, particularly your PhD or equivalent experience in NLP or AI. Highlight any relevant research, publications, and technical skills that align with the job.
Write a Compelling Cover Letter: Your cover letter should express your passion for AI in education and detail how your background makes you a perfect fit for the role. Mention specific projects or experiences that demonstrate your expertise in NLP and AI applications.
Include Work Samples: As requested, include an example of your previous work related to NLP or AI. This could be a conference paper, GitHub repository, or Jupyter notebook. Make sure it showcases your skills and contributions effectively.
How to prepare for a job interview at AQA
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to NLP and AI. Highlight any publications or contributions you've made, as this will demonstrate your expertise and commitment to the field.
✨Understand the Role of AI in Education
Familiarise yourself with how AI can enhance educational assessments. Be ready to discuss innovative ideas on how AI can be applied to create fair and explainable assessment methods, as this aligns with the company's mission.
✨Prepare for Technical Questions
Expect to answer technical questions about NLP algorithms and AI applications. Brush up on your knowledge of current methodologies and be ready to explain complex concepts in a way that non-technical stakeholders can understand.
✨Demonstrate Collaboration Skills
Since the role involves working closely with assessment experts, be prepared to discuss your experience in collaborative projects. Share examples of how you’ve successfully worked in teams to achieve common goals, particularly in research settings.
