Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference

The International Society for Bayesian Analysis
Manchester
10 months ago
Create job alert
Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference

Aug 11, 2021

Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference

I am looking for researchers to my new team in Manchester, UK, funded by the UKRI Turing AI World-Leading Researcher Fellowship programme “Human-AI Research Teams – Steering AI in Experimental Design and Decision-Making”. Closing date of call: September 6, 2021.

The research is fundamental research in probabilistic modelling and Bayesian inference, applied to the exciting problems of how do we steer machine learning systems. Particularly challenging is to steer when we cannot (yet) precisely specify our goal, and ultimately we would like to have machine learning systems that help us in experimental design and decisions.

Keywords include: advanced user modelling, automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning and inverse reinforcement learning with or without multiple agents, and simulator-based inference. I am not expecting anyone to master all of these, though if you do, please apply immediately…

The team will have excellent opportunities of applying the methods to medicine, especially cancer research and remote medicine; experimental design in synthetic biology and drug design; and digital twins. We have top-notch collaborators in each, both in Academia and in companies, locally and internationally. We can also discuss jointly funded positions with partner companies, hospitals or collaborator groups.

More info about these positions and a link to the application portal:

  1. Because we are there
  2. Great university, with fluent collaboration with outstanding groups of application fields
  3. It is the place to be right now for machine learning. New Fundamental AI Research Centre with several new academics is being launched, on top of the already wide AI activity including Turing Institute partnership with 27 Turing Fellows and ELLIS Fellows.
  4. The most livable city in the UK (https://www.investinmanchester.com/why-manchester/living-in-manchester/quality-of-life )


#J-18808-Ljbffr

Related Jobs

View all jobs

Postdocs and Research Fellows: Probabilistic machine learning, Centre for AI Fundamentals, Manc[...]

2 Senior Lecturer / Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK

Researcher positions in probabilistic machine learning: Research Fellow, Postdoc and PhD Student

Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD s[...]

Postdoc in Environmental Intelligence & Data Science

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.