At a Glance
- 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 academics and industry partners, with opportunities for joint funding.
- Other info: Be part of a vibrant research community in one of the UK's most livable cities.
- Why this job: Make a real impact in fields like medicine and synthetic biology through advanced AI techniques.
- Qualifications: Experience in machine learning, Bayesian methods, and a passion for experimental design.
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: Because we are there 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 employer: The International Society for Bayesian Analysis
Join a pioneering research team in Manchester, UK, where you will engage in cutting-edge work in probabilistic machine learning and Bayesian inference. Our collaborative environment fosters innovation and offers exceptional opportunities for professional growth, particularly in impactful fields such as medicine and synthetic biology. With access to top-tier collaborators and a vibrant city known for its quality of life, this role promises a meaningful and rewarding career path.
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
✨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 previous work in probabilistic modelling and Bayesian inference. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses and get comfortable discussing your research interests and experiences. The more you practice, the more confident you'll feel.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got all the latest openings listed there, and it’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in probabilistic modelling and Bayesian inference. We want to see how your skills align with the exciting challenges we’re tackling, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about steering machine learning systems and how your background fits into our research goals. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Research Impact:When detailing your research experience, focus on the impact of your work. Whether it’s in medicine, synthetic biology, or any other field, we want to know how your contributions have made a difference. Be specific and quantify your achievements where possible!
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, you’ll find all the info you need about the positions and our team there!
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.
✨Showcase Your Projects
Prepare to discuss any relevant projects or research you've worked on. Be ready to explain your role, the challenges you faced, and how you applied advanced user modelling or reinforcement learning techniques. This gives the interviewers a clear picture of your practical experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, collaboration opportunities, and how they envision the future of AI in medicine. This not only shows your interest but also helps you gauge if the position aligns with your career goals.
✨Be Yourself
While it's important to demonstrate your technical skills, don’t forget to let your personality shine through. The team is looking for someone who fits well within their culture, so be genuine and express your enthusiasm for joining their innovative research environment.
