Chair or Readership in Statistics (Imperial College London)

Chair or Readership in Statistics (Imperial College London)

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
The International Society for Bayesian Analysis

At a Glance

  • Tasks: Lead innovative research and teaching in Statistics and Applied Probability.
  • Company: Imperial College London, a prestigious institution in the heart of South Kensington.
  • Benefits: Competitive salary, permanent position, and a vibrant academic community.
  • Other info: Engaging environment with opportunities for collaboration across academia and industry.
  • Why this job: Join a dynamic team and contribute to cutting-edge research in AI and data science.
  • Qualifications: Outstanding expertise in Statistics or Applied Probability required.

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 a date to be agreed. The position is permanent, full time, with an internationally competitive salary, plus benefits.

We are interested in hiring an excellent candidate in ANY area of Statistics or Applied Probability. With 30 academic staff, many postdoctoral researchers, and over 50 PhD students, the Section offers an engaging, diverse, and lively research culture in Statistics.

The Section is based in the Huxley Building on an attractive site in South Kensington in the internationally-significant Albertopolis cultural district in central London. The members of the section are involved in a range of activities including lectures, workshops, seminars, departmental colloquia and a rich range of collaborations with academic, industry and government.

The Statistics Section is also 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 the Statistics Section's website https://www.imperial.ac.uk/statistics/.

Chair or Readership in Statistics (Imperial College London) employer: The International Society for Bayesian Analysis

Imperial College London is an exceptional employer, offering a vibrant and collaborative work environment in the heart of South Kensington. With a strong focus on research and innovation, employees benefit from access to world-class resources, diverse academic collaborations, and opportunities for professional growth within a supportive community. The position not only provides a competitive salary but also places you at the forefront of advancements in statistics and applied probability, making it a truly rewarding career choice.

The International Society for Bayesian Analysis

Contact Details:

The International Society for Bayesian Analysis Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Chair or Readership in Statistics (Imperial College London)

Tip Number 1

Network like a pro! Reach out to current staff or alumni from the Statistics Section at Imperial College London. A friendly chat can give us insights into the culture and expectations, plus it might just help us get our foot in the door.

Tip Number 2

Showcase your research! Prepare a presentation that highlights your work and how it aligns with the exciting initiatives at Imperial, especially in AI and data science. We want to see how you can contribute to the vibrant research culture.

Tip Number 3

Be ready for a dynamic interview! Brush up on your teaching philosophy and be prepared to discuss how you engage students. We know they value interactive and innovative teaching methods, so let’s show them what we’ve got!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we can keep track of any updates and stay in the loop about the hiring process.

We think you need these skills to ace Chair or Readership in Statistics (Imperial College London)

Statistical Analysis
Applied Probability
Research Skills
Lecturing
Workshop Facilitation
Collaboration
Data Science

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for Statistics shine through! We want to see why you're excited about this field and how you can contribute to our vibrant research culture.

Tailor Your CV:Make sure your CV is tailored to the role. Highlight relevant experience and skills that align with the Chair or Readership position. We love seeing how your background fits into our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story. Be clear about your research interests and how they connect with our work at Imperial. We appreciate a personal touch that reflects your unique perspective.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials in the right format. Plus, it shows you’re keen on joining our community at Imperial.

How to prepare for a job interview at The International Society for Bayesian Analysis

Know Your Statistics Inside Out

Make sure you brush up on your knowledge of statistics and applied probability. Be prepared to discuss your research interests and how they align with the work being done at Imperial College London. Familiarise yourself with recent developments in the field and think about how you can contribute to the vibrant research culture.

Engage with the Section's Activities

Take some time to explore the Statistics Section's website and understand their current projects, workshops, and collaborations. This will not only help you tailor your responses during the interview but also show your genuine interest in becoming part of their community.

Prepare Thoughtful Questions

Interviews are a two-way street, so come armed with insightful questions about the role, the team, and the future direction of the Statistics Section. This demonstrates your enthusiasm and helps you gauge if the position is the right fit for you.

Showcase Your Collaborative Spirit

Given the emphasis on collaboration with academic, industry, and government partners, be ready to share examples of your past collaborative experiences. Highlight how you can contribute to interdisciplinary projects and foster partnerships that align with the strategic initiatives at Imperial.