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- Tasks: Lead innovative research in Statistics and collaborate across diverse fields.
- Company: Imperial College London, a prestigious institution with a vibrant research culture.
- Benefits: Permanent position with opportunities for professional growth and interdisciplinary collaboration.
- Why this job: Join a dynamic team making impactful contributions to various sectors through statistical science.
- Qualifications: Outstanding expertise in statistical methods and a passion for interdisciplinary research.
- Other info: Be part of an exciting initiative at the forefront of AI and data science.
The predicted salary is between 36000 - 60000 £ per year.
Chair or Readership in Statistics at Imperial College London (permanent)
Oct 5, 2021
Applications are invited from outstanding individuals for a Chair or Readership in Statistics, to start from October 2022, or sooner.
The Statistics Section in the Department of Mathematics is committed to research in Statistical Science, broadly interpreted. We undertake rigorous interdisciplinary research, developing methods for applied problems, and the statistical theory underpinning these methods. Expertise in statistical learning, Bayesian, computational, time series, spatio-temporal, and applied-probabilistic methods is deployed to a rich array of interdisciplinary collaborations, ranging from cyber-security, to astrostatistics, the mathematics of planet earth, biomathematics, medicine and epidemiology, public policy, energy, finance, and data-centric engineering.
The Section offers two MSc programmes, one in Statistics and a new online programme in Machine Learning and Data Science. It also leads the EPSRC-funded Centre for Doctoral Training in Modern Statistics and Statistical Learning (joint with Oxford Statistics and Imperial Computing). Our new online MSc is enabling significant expansion in the Section over the next several years, including multiple staff hires. With 29 academic staff, many postdoctoral researchers, and over 50 PhD students the Section offers an engaging, diverse, and lively research culture. The Statistics Section is a key player in IX: an exciting new strategic initiative providing an environment for research, education and entrepreneurship across artificial intelligence, data science and digital technologies based at Imperial’s White City campus. Further details of the Section and its activities are available on Statistics Section’s website.
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Chair or Readership in Statistics at Imperial College London (permanent) 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 Chair or Readership in Statistics at Imperial College London (permanent)
✨Tip Number 1
Network like a pro! Reach out to current staff or alumni from Imperial College London. A friendly chat can give you insider info and maybe even a foot in the door.
✨Tip Number 2
Show off your research! Prepare a presentation that highlights your past work and how it aligns with the Statistics Section's goals. This is your chance to shine and demonstrate your fit.
✨Tip Number 3
Be ready for an interview that dives deep into your expertise. Brush up on statistical methods and be prepared to discuss how you can contribute to interdisciplinary projects at Imperial.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their applications.
We think you need these skills to ace Chair or Readership in Statistics at Imperial College London (permanent)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your expertise aligns with the specific areas mentioned in the job description. We want to see how you can contribute to our interdisciplinary research and teaching.
Showcase Your Research Impact: When detailing your research experience, focus on the impact of your work. We love to see how your statistical methods have been applied in real-world scenarios, especially in fields like medicine or finance.
Engage with Our Community: Mention any collaborations or interactions you've had with other disciplines. We value a diverse research culture, so showing that you can work across different fields will definitely catch our eye!
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 materials and ensures you’re considered for this exciting opportunity at Imperial College London.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Stuff
Make sure you’re well-versed in the latest statistical methods and theories relevant to the position. Brush up on Bayesian methods, statistical learning, and any specific techniques mentioned in the job description. This will show your passion and expertise in the field.
✨Showcase Your Research
Prepare to discuss your past research projects and how they align with the interdisciplinary focus of the Statistics Section. Be ready to explain your methodologies and the impact of your work, especially in areas like cyber-security or epidemiology.
✨Engage with the Team
Familiarise yourself with the current staff and their research interests. During the interview, mention specific collaborations or projects that excite you. This demonstrates your enthusiasm for joining their diverse and lively research culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the Statistics Section’s future initiatives, especially regarding the new online MSc programme. This shows your interest in contributing to their growth and understanding their strategic direction.
