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- Tasks: Conduct cutting-edge research in machine learning and spatial statistics.
- Company: Join the University of Warwick and The Alan Turing Institute team.
- Benefits: Competitive salary, London allowance, and a collaborative research environment.
- Why this job: Make a real impact on air quality projects with innovative technology.
- Qualifications: PhD in Statistics, Computer Science, or Applied Mathematics required.
- Other info: Fixed term position with excellent career development opportunities.
The predicted salary is between 29799 - 38833 £ per year.
An enthusiastic individual is sought as a postdoctoral research fellow to work in the area of machine learning and spatial statistics. The post is a joint appointment between the Departments of Computer Science and Statistics at the University of Warwick, and the successful applicant will be based at The Alan Turing Institute in London (a London allowance will be payable).
You will join a team of researchers affiliated with the ATI and led by Dr. Theo Damoulas, including research assistants and PhD students in computer science and statistics.
Responsibilities include performing high-quality research under the supervision of Dr. Theo Damoulas and Prof. Mark Steel, as part of the Turing-Lloyds Register Foundation funded project 'Air Quality Sensor Networks'. This project is likely to involve:
- Hierarchical Bayesian models
- Nonparametric Bayesian inference
- Graphical models
- Active learning
- Experimental design
- Issues in spatiotemporal inference such as non-stationarity and non-separability
Requirements include a PhD or equivalent qualification in Statistics, Computer Science, or Applied Mathematics. You should have a strong background in one or more of the following areas:
- Bayesian inference
- Spatial statistics
- Probabilistic machine learning
Salary: £29,799 – £38,833 per annum (plus London Allowance)
Location: The Alan Turing Institute, London
Fixed Term Position for 24 months
Closing date: 12 July
We are an equal opportunities employer and welcome applications from all qualified candidates.
Research Fellow In Machine Learning And Spatial Statistics in England 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 Fellow In Machine Learning And Spatial Statistics in England
✨Tip Number 1
Network like a pro! Reach out to current or former researchers at the University of Warwick or The Alan Turing Institute. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or presentation that highlights your research in machine learning and spatial statistics. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Get together with friends or colleagues to do mock interviews. Focus on explaining complex concepts in simple terms, as this is key in research roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Research Fellow In Machine Learning And Spatial Statistics in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and spatial statistics. We want to see how your background aligns with the responsibilities of the role, so don’t hold back on showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this position and how your skills can contribute to the project. We love seeing genuine enthusiasm, so let your personality come through.
Highlight Relevant Skills: Be sure to mention any specific skills related to Bayesian inference, hierarchical models, or spatiotemporal inference. We’re looking for candidates who can hit the ground running, so make those skills pop in your application!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research
Make sure you’re well-versed in the specifics of your research area, especially machine learning and spatial statistics. Familiarise yourself with recent advancements and how they relate to the project at The Alan Turing Institute. This will show your enthusiasm and depth of knowledge.
✨Prepare for Technical Questions
Expect questions on Bayesian inference, hierarchical models, and spatiotemporal inference. Brush up on these topics and be ready to discuss your previous work or projects that involved these concepts. Practising explaining complex ideas simply can really impress your interviewers.
✨Show Team Spirit
Since you’ll be working with a team of researchers, it’s important to demonstrate your ability to collaborate. Think of examples from your past experiences where you successfully worked in a team setting, particularly in research environments. Highlighting your teamwork skills can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the team dynamics. This not only shows your interest but also helps you gauge if the environment is the right fit for you. Questions about the methodologies used or future directions of the research can spark engaging discussions.
