At a Glance
- Tasks: Create Digital Twins of cultural artifacts using advanced imaging techniques.
- Company: Newcastle University, a leader in innovative research and cultural heritage.
- Benefits: Fully funded PhD, structured training, and industry experience.
- Other info: Exciting opportunity for career development in academia and industry.
- Why this job: Join a groundbreaking project that merges technology with cultural preservation.
- Qualifications: Strong background in data analysis and imaging technologies.
The predicted salary is between 18000 - 25000 £ per year.
Newcastle University invites applications for a fully funded PhD position under the UNVEIL network, spanning 36 months starting October 2026. The project focuses on fusing and visualising data from THz, pulsed thermography, ultrasound and multispectral imaging to build precise Digital Twins of cultural artifacts.
The candidate will develop feature extraction and fusion methods, perform secondments across academia and industry, and benefit from structured training and access to state-of-the-art resources.
PhD Fellow: Digital Twins for Cultural Heritage in England employer: Newcastle University
Newcastle University is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the field of immuno-oncology research. With a strong commitment to professional development, employees benefit from numerous growth opportunities while contributing to impactful projects in a supportive team atmosphere. Located in a vibrant city, the university provides a unique chance to engage with cutting-edge research and make meaningful contributions to healthcare advancements.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Fellow: Digital Twins for Cultural Heritage in England
✨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 Newcastle University.
✨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 Newcastle University, 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 Newcastle University.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Newcastle University, 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 PhD Fellow: Digital Twins for Cultural Heritage in England
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 Newcastle University 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 Newcastle University 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 Newcastle University
✨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 Newcastle University 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 Newcastle University’s culture and workflow.
