At a Glance
- Tasks: Conduct original research in AI, ML, and data science at a top university.
- Company: Join the University of Surrey's renowned Department of Computer Science.
- Benefits: Fully funded tuition and a tax-free stipend for living expenses.
- Other info: Access to world-class facilities and expert supervision for your research.
- Why this job: Make groundbreaking contributions to technology while advancing your academic career.
- Qualifications: First-class or upper second-class degree in Computer Science or related field.
The predicted salary is between 19350 - 23650 £ per year.
The University of Surrey offers a fully funded PhD studentship in Computer Science, enabling original research across AI, machine learning, data science, cybersecurity, HCI, and software engineering. You will join the Department of Computer Science with access to world‑class facilities and expert supervision.
The studentship includes tuition coverage and a tax‑free UKRI stipend. Candidates should hold a first‑class or upper second‑class undergraduate degree (CS or related), with a Master’s
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Fully Funded CS PhD Studentship in AI, ML & Data in Guildford employer: RFCSR
Imperial College London is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and interdisciplinary research. As a Research Associate, you will have access to cutting-edge facilities and the opportunity for professional growth through mentorship and publishing your findings, all while contributing to impactful advancements in biomedical engineering within a prestigious academic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Fully Funded CS PhD Studentship in AI, ML & Data in Guildford
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like RFCSR.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including RFCSR, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like RFCSR.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including RFCSR, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Fully Funded CS PhD Studentship in AI, ML & Data in Guildford
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so RFCSR can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at RFCSR and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at RFCSR
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells RFCSR that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into RFCSR’s culture and workflow.
