Senior Research Associate in Probabilistic AI
Senior Research Associate in Probabilistic AI

Senior Research Associate in Probabilistic AI

Bristol Full-Time 43482 - 50253 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a cutting-edge research team developing innovative AI algorithms and publish in top journals.
  • Company: University of Bristol, part of a diverse and collaborative research hub.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact in the field of probabilistic AI and advance your academic career.
  • Qualifications: Postgraduate degree in Mathematics, Statistics, or related fields; strong technical skills required.
  • Other info: Open-ended contract with fixed funding for 3 years; inclusive environment prioritising diversity.

The predicted salary is between 43482 - 50253 Β£ per year.

Overview

We invite applications for a Senior Post-Doctoral Research Associate position to join the Prob_AI Hub. The vision of the Prob_AI hub is to develop a world-leading, diverse and UK-wide research programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world-leading researchers across Applied Mathematics, Computer Science, Probability and Statistics, who engage with a range of non-academic partners.

This Prob_AI Hub brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Edinburgh, Manchester and Warwick. This position at Bristol is available immediately, for a fixed term of 3 years or until January 31, 2029, whichever is earlier.

Responsibilities

  • Support and undertake research necessary to achieve the University of Bristol`s aims within the Prob_AI Hub.
  • Publish in leading machine learning, AI, statistical, mathematical, or appropriate application journals.
  • Contribute to publications in these journals jointly with other members of the project.
  • Engage with other partner institutions and industrial project partners.
  • Attend project meetings, events, workshops, and conferences.
  • Develop code that implements the methods developed to support reproducible research practice

You should apply if

  • A relevant postgraduate research degree in Mathematics, Statistics, Machine Learning, or a related discipline, or possess equivalent professional experience.
  • An interest in developing a mathematical understanding of AI to enhance the reliability, interpretability, and uncertainty awareness of AI methods.
  • Technical and mathematical skills required for such research, regardless of prior AI experience.
  • Relevant mathematical backgrounds including, but not limited to: Bayesian statistics, computational statistics, inverse problems, numerical analysis, probability, statistical machine learning, stochastic analysis, and uncertainty quantification.
  • You can demonstrate the ability to develop new methodology or advance mathematical understanding.
  • A demonstrated ability to produce academic writing of the highest publishable quality.

Additional information

Contract type: Open ended with fixed funding for 3 years or until January 31, 2029, whichever is earlier.

Work pattern: Full time, although we will consider applicants requesting part-time or other flexible working arrangements.

Grade: J/Pathway 2

Salary: Β£43,482 – Β£50,253 per annum

School/Unit: School of Mathematics

This advert will close at 23:59 UK time on 09/10/2025

For informal queries, please contact: Professor Anthony Lee, anthony.lee@bristol.ac.uk

Our strategy and mission

We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.

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Senior Research Associate in Probabilistic AI employer: University of Bristol Law School

The University of Bristol is an exceptional employer, offering a vibrant and inclusive work culture that fosters collaboration among world-leading researchers in the field of probabilistic AI. With a strong commitment to employee growth, the university provides ample opportunities for professional development, flexible working arrangements, and a supportive environment where diverse perspectives are valued, making it an ideal place for those seeking meaningful and rewarding careers in academia.
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Contact Detail:

University of Bristol Law School Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Research Associate in Probabilistic AI

✨Network Like a Pro

Get out there and connect with folks in the field! Attend conferences, workshops, and meet-ups related to AI and mathematics. We can’t stress enough how important it is to build relationships; you never know who might have a lead on your dream job.

✨Show Off Your Skills

When you get the chance, showcase your technical skills! Whether it's through coding demos or presenting your research, let your expertise shine. We want to see how you can contribute to the Prob_AI Hub and make an impact.

✨Engage with the Community

Join online forums and social media groups focused on probabilistic AI. Engaging with the community can help you stay updated on trends and job openings. Plus, it’s a great way to learn from others and share your own insights!

✨Apply Through Our Website

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see what you bring to the table, so don’t hold back!

We think you need these skills to ace Senior Research Associate in Probabilistic AI

Mathematical Skills
Statistical Analysis
Machine Learning
Bayesian Statistics
Computational Statistics
Numerical Analysis
Probability Theory
Stochastic Analysis
Uncertainty Quantification
Research Methodology Development
Academic Writing
Collaboration Skills
Code Development for Reproducible Research
Engagement with Non-Academic Partners

Some tips for your application 🫑

Show Off Your Skills: Make sure to highlight your relevant postgraduate research degree and any professional experience you have. We want to see how your background in Mathematics, Statistics, or Machine Learning aligns with the role!

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific responsibilities and requirements mentioned in the job description. This shows us you’re genuinely interested in the position.

Quality Over Quantity: When it comes to your written work, focus on producing high-quality academic writing. We’re looking for clarity and precision, so make sure your examples showcase your ability to communicate complex ideas effectively.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, it’s super easy to do!

How to prepare for a job interview at University of Bristol Law School

✨Know Your Stuff

Make sure you brush up on your knowledge of probabilistic AI and the specific mathematical concepts mentioned in the job description. Be ready to discuss Bayesian statistics, computational statistics, and any relevant methodologies you've worked with. This shows you're not just familiar with the theory but can also apply it practically.

✨Showcase Your Research

Prepare to talk about your previous research projects and publications. Highlight how your work aligns with the goals of the Prob_AI Hub. If you have experience collaborating with non-academic partners, mention that too! It’s all about demonstrating your ability to contribute to a diverse research environment.

✨Engage with the Team

During the interview, express your enthusiasm for working with a multidisciplinary team. Ask questions about their current projects and how you can contribute. This not only shows your interest but also helps you gauge if the team dynamics fit your style.

✨Prepare for Technical Questions

Expect some technical questions related to your mathematical and programming skills. Brush up on coding practices that support reproducible research. Being able to discuss how you would implement methods or solve problems will set you apart from other candidates.

Senior Research Associate in Probabilistic AI
University of Bristol Law School
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