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- Tasks: Conduct groundbreaking research in probabilistic machine learning and Bayesian inference.
- Company: Join a leading university team in Manchester, UK, focused on innovative AI research.
- Benefits: Collaborate with top researchers and apply methods to impactful fields like medicine and synthetic biology.
- Why this job: Be at the forefront of AI research and contribute to real-world applications.
- Qualifications: Experience in machine learning, Bayesian inference, or related fields is preferred.
- Other info: Exciting opportunities for career growth and collaboration with industry leaders.
The predicted salary is between 36000 - 60000 £ per year.
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:
- Great university, with fluent collaboration with outstanding groups of application fields
- 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.
- The most livable city in the UK.
Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference in Manchester employer: The International Society for Bayesian Analysis
Contact Detail:
The International Society for Bayesian Analysis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference in Manchester
✨Tip Number 1
Network like a pro! Reach out to current researchers in the field, attend relevant conferences, and engage with online communities. Building connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your past research and projects related to probabilistic machine learning and Bayesian inference. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses and get comfortable discussing your work. The more you practice, the more confident you'll feel when it counts.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got all the latest openings and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience in probabilistic modelling and Bayesian inference. We want to see how your skills align with the exciting challenges we face in steering machine learning systems.
Show Your Passion: Let us know why you're excited about this research area! Share your enthusiasm for applying advanced user modelling and experimental design in fields like medicine or synthetic biology. We love seeing candidates who are genuinely passionate about their work.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it's relevant!
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for this fantastic opportunity in Manchester!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Stuff
Make sure you brush up on the key concepts of probabilistic machine learning and Bayesian inference. Familiarise yourself with the latest research and applications in these areas, especially how they relate to experimental design and decision-making. This will show your passion and expertise during the interview.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your understanding of advanced user modelling, reinforcement learning, and other relevant topics. Practise explaining complex ideas clearly and concisely, as this will demonstrate your ability to communicate effectively with both technical and non-technical team members.
✨Show Your Collaborative Spirit
Since the role involves working with top-notch collaborators in academia and industry, be ready to discuss your previous experiences in teamwork. Highlight any projects where you successfully collaborated with others, especially in interdisciplinary settings, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the research team's goals, ongoing projects, and potential collaborations. This not only shows your genuine interest in the position but also gives you a chance to assess if the team aligns with your career aspirations and values.
