At a Glance
- Tasks: Develop innovative computational tools and contribute to cutting-edge research in machine learning.
- Company: Join UCL, a leading university with a commitment to diversity and inclusion.
- Benefits: Enjoy 41 days of holiday, a pension scheme, and on-site facilities like a gym and nursery.
- Other info: Be part of a supportive research group with excellent career development opportunities.
- Why this job: Make a real impact in the field of statistics and machine learning while advancing your career.
- Qualifications: MSc or PhD in statistics, mathematics, or machine learning; proficient in Python or R.
The predicted salary is between 52586 - 52586 £ per year.
Apply for a Research Assistant/Fellow position in Computational Statistics and Machine Learning at UCL, London, England (UK). This full‑time on‑site role offers significant career development opportunities.
Reference number: B04-07507
Department: Statistical Science, UCL BEAMS (B04) – Research and Research Support Department
Location: London
Working pattern: Full time
Contract type: Fixed‑term, 8 months
Salary: £39,148 – £52,586 per annum (grade 6B to 7)
About the Role
The post is an exciting opportunity for a researcher with a background in mathematics, statistics or machine learning who would like to develop the skill set further. The successful candidate will build hands‑on experience in developing novel computational tools to enable the use of large‑scale models, and will work on the dissemination of research. The postholder will be a member of the Fundamentals of Statistical Machine Learning research group, funded by the Engineering and Physical Sciences Research Council (grant EP/Y022300/1). The position is available from 1 January 2027; an earlier start date may be possible subject to approval from the funder.
About You
- Strong academic background: MSc (grade 6B) or PhD (grade 7) in statistics, mathematics, or machine learning.
- Proficient programming skills in Python or R.
- Solid understanding of computational methods for intractable expectations.
- Strong mathematical foundation.
What We Offer
- 41 days holiday (27 days annual leave, 8 bank holidays and 6 closure days).
- Annual leave purchase scheme.
- Defined benefit career average revalued earnings pension scheme (CARE).
- Cycle‑to‑work scheme and season ticket loan.
- Immigration loan.
- Relocation scheme for certain posts.
- On‑site nursery.
- On‑site gym.
- Enhanced maternity, paternity and adoption pay.
- Employee assistance programme: Staff Support Service.
- Discounted medical insurance.
Equality, Diversity and Inclusion
The department holds a Silver Athena SWAN award in recognition of its commitment to advancing the representation of women in science, mathematics, engineering and technology. UCL welcomes applications from under‑represented groups and is an equal opportunity employer.
Research Assistant/Fellow in Computational Statistics and Machine Learning at UCL employer: UCL
UCL is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of London. With generous benefits such as 41 days of holiday, a supportive employee assistance programme, and a commitment to equality and diversity, UCL provides a nurturing environment for professional growth and development in the field of computational statistics and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant/Fellow in Computational Statistics and Machine Learning at UCL
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We think you need these skills to ace Research Assistant/Fellow in Computational Statistics and Machine Learning at UCL
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at UCL, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UCL. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UCL
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
