At a Glance
- Tasks: Join our team to explore cutting-edge machine learning and probabilistic modelling.
- Company: Be part of the University of Manchester, a leader in AI research and innovation.
- Benefits: Enjoy opportunities for collaboration, dual positions, and working in the UK's most livable city.
- Other info: Positions available at all levels: Research Fellow, Postdoc, and PhD students.
- Why this job: Contribute to impactful projects in drug design and personalized medicine while collaborating with top experts.
- Qualifications: Strong expertise in machine learning topics or a keen interest in learning from experts required.
The predicted salary is between 36000 - 60000 £ per year.
Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD student. Turing AI Fellowship, Univ Manchester, UK
Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making.
Positions are available at all stages; we seek to fill most positions now but leave some for future years as well:
– Research Fellow
– Postdoc
– PhD Student
The work involves probabilistic modelling in exciting new settings, and developing new methods for probabilistic machine learning and inference. Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference, likelihood-free inference.
There will be particularly good opportunities to join new work on collaborative modelling and decision-making with AI. And applications in drug design, synthetic biology, personalized medicine, and digital twins.
The positions are in the University of Manchester, which has recently strengthened its position as a centre for research into AI fundamentals and impactful applications, featuring:
– Brand-new ELLIS Unit Manchester (press release out any minute now…)
– Partnership with the Alan Turing Institute
– New Centre for Fundamentals of AI, with a number of excellent new faculty members joining
– Institute for Data Science and AI, with >900 researchers
– Excellent university with outstanding collaborators in other strong fields within a walking distance on the same campus
– Dual positions can be negotiated with research groups in cancer research, biotechnology, digital twins, medicine and health, both in academia, hospitals and companies. Get in touch.
– Most livable city in the UK
More info on the Turing AI World-Leading Researcher Fellowships:
#J-18808-LjbffrResearch positions available in machine learning at all levels: Research Fellow, Postdoc, PhD s[...] in Manchester employer: The International Society for Bayesian Analysis
The University of Manchester offers an exceptional environment for research in machine learning, providing access to cutting-edge facilities and a collaborative work culture that fosters innovation. With strong partnerships, including the Alan Turing Institute, and opportunities for dual positions across various disciplines, employees can expect significant growth and development in their careers. Located in one of the UK's most livable cities, the university not only prioritises impactful research but also ensures a supportive atmosphere for all its staff.
Contact Details:
The International Society for Bayesian Analysis Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD s[...] in Manchester
✨Tip Number 1
Network with current researchers in the field of machine learning, especially those affiliated with the University of Manchester or the Alan Turing Institute. Attend relevant conferences or seminars to make connections and learn about ongoing projects that align with your interests.
✨Tip Number 2
Familiarise yourself with the latest advancements in probabilistic modelling and the specific topics mentioned in the job description. This will not only enhance your knowledge but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 3
Consider reaching out directly to the research group or faculty members to express your interest and ask insightful questions about their work. This shows initiative and can help you stand out as a candidate.
✨Tip Number 4
Stay updated on the latest research publications and breakthroughs in AI and machine learning. Being well-informed will enable you to discuss relevant topics confidently and demonstrate your passion for the field during any interactions.
We think you need these skills to ace Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD s[...] in Manchester
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the specific research positions available, such as Research Fellow, Postdoc, or PhD student. Familiarise yourself with the key responsibilities and required expertise in areas like Bayesian inference or reinforcement learning.
Tailor Your CV:Craft your CV to highlight relevant experience and skills that align with the job description. Emphasise any previous research projects, publications, or collaborations that demonstrate your expertise in machine learning and related fields.
Write a Compelling Cover Letter:Your cover letter should express your enthusiasm for the position and the research group. Discuss how your background aligns with their focus areas, and mention any specific projects or interests that resonate with the work being done at the University of Manchester.
Highlight Collaborative Experience:Given the emphasis on collaborative modelling and decision-making, be sure to include examples of past teamwork in your application. Showcase your ability to work effectively with others, especially in interdisciplinary settings.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Showcase Your Expertise
Make sure to highlight your strong expertise in the specific topics mentioned in the job description, such as Bayesian inference or reinforcement learning. Prepare examples of your previous work that demonstrate your skills and how they relate to the research group's focus.
✨Understand the Research Group's Goals
Familiarise yourself with the ongoing projects within the research group at the University of Manchester. Understanding their objectives, especially around collaborative modelling and decision-making with AI, will help you align your answers with their vision during the interview.
✨Prepare Thoughtful Questions
Prepare insightful questions about the research group's future directions, potential collaborations, and the impact of their work. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
✨Demonstrate Teamwork Skills
Since the positions involve working with expert colleagues, be ready to discuss your experiences in collaborative environments. Highlight any past projects where teamwork was essential, especially in interdisciplinary settings related to AI and machine learning.
