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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.
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.
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! Attend conferences, workshops, and seminars related to statistics and data science. Engaging with fellow professionals can open doors to opportunities you might not find online.
✨Tip Number 2
Showcase your expertise! Create a personal website or blog where you can share your research, projects, and insights in statistics. This not only highlights your skills but also demonstrates your passion for the field.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to statistics. Think about how your experience aligns with the interdisciplinary nature of the role at Imperial College London.
✨Tip Number 4
Don’t forget to 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 job search!
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 the exciting projects at Imperial.
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, finance, or public policy.
Engage with Our Community: Mention any collaborations or interactions you've had with other researchers or institutions. We value a lively research culture, so showing that you're a team player who thrives in diverse environments 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.
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 role. Brush up on Bayesian methods, statistical learning, and any interdisciplinary applications that might come up during the interview.
✨Show Your Passion for Research
Be ready to discuss your previous research projects and how they align with the work being done at Imperial College London. Highlight any collaborations you've had, especially those that cross into fields like medicine or finance, as this shows your versatility.
✨Engage with the Team's Vision
Familiarise yourself with the Statistics Section’s current projects and future goals. Be prepared to share how your expertise can contribute to their initiatives, particularly in areas like the new online MSc programme or the EPSRC-funded Centre for Doctoral Training.
✨Ask Thoughtful Questions
Prepare insightful questions about the department’s research culture and future directions. This not only shows your interest but also helps you gauge if the environment is the right fit for you.
