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- Tasks: Conduct cutting-edge research in AI and machine learning, developing novel models and analysing complex datasets.
- Company: Durham University, a vibrant hub for innovative research and collaboration.
- Benefits: Generous annual leave, pension schemes, flexible working, and professional development opportunities.
- Other info: Supportive environment committed to equality, diversity, and inclusion.
- Why this job: Join a dynamic team and contribute to groundbreaking AI projects with real-world impact.
- Qualifications: PhD (or nearing completion) in Computer Science or related fields, with strong AI/ML research background.
The predicted salary is between 37099 - 44263 £ per year.
Durham University is seeking to appoint a Postdoctoral Research Associate in Computer Science with a focus on Artificial Intelligence and Machine Learning. This role is situated within a vibrant and collaborative research environment and contributes to a cutting‑edge project exploring advanced AI methodologies and their real‑world applications.
The successful candidate will undertake high‑quality research aligned with the objectives of the project, including developing novel machine learning models, analysing complex datasets, and contributing to the advancement of knowledge in AI. The role involves close collaboration with academic colleagues, participation in interdisciplinary initiatives, and active contribution to the department’s research culture.
Responsibilities include:
- Publishing research findings in leading journals and conferences
- Presenting at national and international events
- Assisting in supervision of students where appropriate
- Supporting grant‑related activities
The position is offered on a fixed‑term basis and provides access to Durham University’s extensive research resources and professional development opportunities. The University offers a comprehensive benefits package including generous annual leave, pension schemes, flexible working options, and a supportive working environment committed to equality, diversity, and inclusion.
Eligibility Criteria
Applicants must hold a PhD (or be close to completion) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related discipline. Candidates should demonstrate a strong research background and evidence of contributions to AI/ML research.
Required Expertise/Skills
- Strong knowledge of machine learning and artificial intelligence techniques
- Experience with programming languages such as Python or similar
- Expertise in data analysis and handling large datasets
- Ability to develop and evaluate computational models
- Strong publication record or potential to publish in high‑quality venues
- Excellent communication and collaboration skills
- Ability to work independently and as part of a research team
Salary Details
£37,099 to £44,263 per annum
Postdoctoral Research Associate in Computer Science (Artificial Intelligence and Machine Learning) employer: RFCSR
Contact Detail:
RFCSR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Computer Science (Artificial Intelligence and Machine Learning)
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and attend conferences related to AI and Machine Learning. We all know that who you know can sometimes be just as important as what you know, so don’t be shy about making connections.
✨Tip Number 2
Show off your research! Create a personal website or an online portfolio showcasing your projects, publications, and any presentations you've done. This gives potential employers a quick way to see your work and expertise in action.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your research in detail. We recommend practising common interview questions and even doing mock interviews with friends or colleagues to build your confidence.
✨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 and engaged with our platform.
We think you need these skills to ace Postdoctoral Research Associate in Computer Science (Artificial Intelligence and Machine Learning)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your research aligns with our objectives. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Research Impact: When detailing your research experience, focus on the impact of your work. Highlight any novel models you've developed or datasets you've analysed, and mention any publications or presentations that demonstrate your contributions to the field.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy to do!
How to prepare for a job interview at RFCSR
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and how it aligns with the project at Durham University. Be ready to discuss your previous work, especially any novel machine learning models you've developed, and how they can contribute to the cutting-edge AI methodologies they’re exploring.
✨Brush Up on Technical Skills
Since the role requires strong knowledge of programming languages like Python, ensure you can confidently discuss your experience with these tools. Prepare to answer technical questions or even solve problems on the spot to demonstrate your expertise in data analysis and handling large datasets.
✨Showcase Your Collaboration Skills
This position involves close collaboration with academic colleagues, so be prepared to share examples of how you’ve successfully worked in teams before. Highlight any interdisciplinary initiatives you’ve participated in and how you contributed to a positive research culture.
✨Prepare for Publication Discussions
Given the emphasis on publishing research findings, think about your publication record and be ready to discuss your past papers or potential future research topics. Show enthusiasm for presenting at conferences and how you plan to engage with the academic community.