At a Glance
- Tasks: Engage in cutting-edge research in Statistical Science at UCL.
- Company: Join the prestigious University College London, a leader in education and research.
- Benefits: Enjoy full tuition coverage, a generous stipend, and research training allowance.
- Other info: Applications are open until 31 July 2025; flexible start dates available.
- Why this job: Be part of an interdisciplinary team tackling real-world problems in various fields.
- Qualifications: Must have a strong background in Mathematics, Statistics, or related fields.
The predicted salary is between 19000 - 25000 £ per year.
PhD Studentships in Statistical Science at UCL
Join to apply for the PhD Studentships in Statistical Science at UCL role at PhDFinder
PhD Studentships in Statistical Science at UCL
Join to apply for the PhD Studentships in Statistical Science at UCL role at PhDFinder
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University: University College London (UCL)
Country: United Kingdom
Deadline: 2025-07-31
Fields: Statistics, Mathematics, Computer Science, Data Science, Economics
Applications are invited for three PhD Studentships in the Department of Statistical Science at University College London (UCL). These studentships are open to both Home and Overseas applicants and may cover any topic within the remit of Statistical Science. Successful candidates are expected to commence their studies in October 2025, with the possibility of a February 2026 start, in accordance with UCL regulations.
The Department of Statistical Science at UCL is one of the largest in the UK, comprising over 30 academic staff members. Research is organized into six key themes: Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability; and Statistics in Biomedicine and Health Economics. Many research projects are interdisciplinary and involve collaborations both within UCL and with external partners.
Each studentship is awarded for a duration of 3.5 years (or 6 years for part-time students) and includes full tuition fees, an annual maintenance stipend (valued at £22,237 for 2024/25, with expected increases for subsequent years), and a research training allowance. Full-time students will also be required to dedicate six months to teaching duties, distributed over the course of the studentship, with the remainder of their time focused on research.
Requirements
– A first class or high upper second class Bachelor’s degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline.
Application Process
For further information and to apply, please visit: https://www.ucl.ac.uk/statistics/prospective-postgraduates/studentships
Application Deadline: 31 July 2025
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#J-18808-LjbffrPhD Studentships in Statistical Science at UCL employer: Azarapply
University College London (UCL) is an exceptional employer, offering PhD studentships in Statistical Science that provide not only full tuition coverage and a generous maintenance stipend but also invaluable teaching experience. Located in the vibrant city of London, UCL fosters a collaborative and interdisciplinary research environment, encouraging personal and professional growth while being part of one of the largest statistical science departments in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentships in Statistical Science at UCL
✨Tip Number 1
Familiarise yourself with the key research themes of the Department of Statistical Science at UCL. Tailor your discussions and networking efforts around these themes, such as Computational Statistics and Machine Learning or Environmental Statistics, to demonstrate your genuine interest and alignment with their work.
✨Tip Number 2
Engage with current PhD students or faculty members at UCL through academic conferences, seminars, or online forums. Building these connections can provide you with insider knowledge about the application process and what the department values in candidates.
✨Tip Number 3
Consider developing a research proposal that aligns with one of the department's key themes. This will not only showcase your initiative but also your understanding of the field, making you a more attractive candidate when it comes time for interviews.
✨Tip Number 4
Stay updated on recent publications and projects from the Department of Statistical Science. Being knowledgeable about their latest research can help you engage in meaningful conversations during interviews and show your commitment to contributing to their academic community.
We think you need these skills to ace PhD Studentships in Statistical Science at UCL
Some tips for your application 🫡
Understand the Requirements:Make sure you thoroughly read the job description and understand the academic qualifications required, such as a first class or high upper second class Bachelor’s degree or a Master’s degree in a relevant field.
Tailor Your CV:Craft your CV to highlight your academic achievements, relevant coursework, and any research experience that aligns with the themes of Statistical Science at UCL. Be specific about your skills in Mathematics, Statistics, Computer Science, or related disciplines.
Write a Strong Research Proposal:Prepare a compelling research proposal that reflects your interests within Statistical Science. Make sure it aligns with the department's key themes and demonstrates your understanding of current research trends.
Proofread and Edit:Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Azarapply
✨Know Your Research Interests
Before the interview, make sure you have a clear understanding of your research interests within Statistical Science. Be prepared to discuss how your interests align with the department's key themes, such as Computational Statistics or Environmental Statistics.
✨Demonstrate Your Academic Background
Highlight your academic achievements, especially if you have a first-class degree or a Master's with distinction. Be ready to discuss specific projects or coursework that showcase your skills in Mathematics, Statistics, or related fields.
✨Prepare for Technical Questions
Expect technical questions related to statistical methods and data analysis. Brush up on relevant concepts and be ready to explain your thought process when solving problems or interpreting data.
✨Show Enthusiasm for Teaching
Since the role includes teaching duties, express your enthusiasm for teaching and mentoring others. Share any previous teaching experiences or how you plan to engage students effectively during your teaching period.
