At a Glance
- Tasks: Teach and research in Statistics and Data Science at a leading university.
- Company: Join the University of Edinburgh, a hub for innovative mathematical sciences.
- Benefits: Competitive salary, opportunities for research collaboration, and a supportive work environment.
- Other info: Engage with interdisciplinary teams and enjoy excellent career development opportunities.
- Why this job: Make an impact in a prestigious institution and contribute to groundbreaking research.
- Qualifications: Proven track record in research and teaching in Statistics and Data Science.
The predicted salary is between 39992 - 47722 £ per year.
Continuing an ambitious long-term plan, which includes expansion into part of the new £40M Bayes Centre, the School of Mathematics is making a number of permanent appointments in the Mathematical Sciences. We are recruiting candidates with a track record of high quality research and teaching in Statistics and Data Science to start on 1 August 2018 or by agreement.
The successful applicants will contribute to the growing reputation of the University as an international hub for Statistics and will join the recently established University-wide Centre for Statistics. They will interact with colleagues in the Bayes Centre, a new interdisciplinary Data Science Institute within the University, as well as the Maxwell Institute, a longstanding research partnership between the University of Edinburgh and Heriot-Watt University. They will also have opportunities to be actively involved with the Alan Turing Institute, a UK wide initiative in Data Science.
All applications must be submitted online and include a full CV, a research statement and a teaching statement. We also require details of four referees, three to comment on your research and one on your teaching.
Salary Scale: £39,992 – £47,722 per annum. Very strong and experienced applicants may be appointed to a Readership, for which the salary is £50,618 – £56,950 per annum.
Applications close at 5pm (UK time) on 3rd January 2018.
Informal enquiries may be made to Professor Ruth King (Thomas Bayes’ Chair of Statistics) at ruth.king@ed.ac.uk.
The University of Edinburgh promotes equality and diversity. We strive for a family-friendly School of Mathematics; hold a Bronze Athena SWAN award and support the London Mathematical Society Good Practice Scheme.
Lectureships/Readerships in Statistics and Data Science in Edinburgh employer: The International Society for Bayesian Analysis
The University of Edinburgh is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in the fields of Statistics and Data Science. With access to state-of-the-art facilities at the new Bayes Centre and opportunities for interdisciplinary research, employees benefit from a supportive environment that prioritises professional growth and diversity. Join a prestigious institution that not only values high-quality teaching and research but also actively engages with leading initiatives like the Alan Turing Institute.
Contact Details:
The International Society for Bayesian Analysis Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lectureships/Readerships in Statistics and Data Science in Edinburgh
✨Network Like a Pro
Get out there and connect with folks in the field! Attend conferences, workshops, or even local meetups. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Passion
When you get the chance to chat with potential employers, let your enthusiasm for Statistics and Data Science shine through. Share your research ideas and teaching philosophy – we want to see that spark that makes you stand out!
✨Prepare for the Interview
Do your homework on the University and its initiatives, like the Bayes Centre and the Alan Turing Institute. We want to see that you’re genuinely interested in contributing to their mission, so come armed with questions and insights.
✨Apply Through Our Website
Don’t forget to submit your application online through our website! It’s the best way to ensure your CV and statements are seen by the right people. Plus, it shows you’re serious about joining our team at the University of Edinburgh.
We think you need these skills to ace Lectureships/Readerships in Statistics and Data Science in Edinburgh
Some tips for your application 🫡
Craft a Stellar CV:Your CV is your first impression, so make it count! Highlight your research and teaching experience in Statistics and Data Science, and don’t forget to tailor it to the role. We want to see what makes you stand out!
Research and Teaching Statements Matter:These statements are your chance to showcase your passion and expertise. Be clear about your research interests and teaching philosophy. We’re looking for candidates who can inspire students and contribute to our vibrant academic community.
Choose Your Referees Wisely:Select referees who know your work well and can speak to both your research and teaching abilities. We recommend having three referees for research and one for teaching, as this will give us a well-rounded view of your capabilities.
Apply Through Our Website:Make sure to submit your application online through our website. It’s the easiest way for us to receive your materials and ensures everything is in one place. Don’t miss the deadline – we can’t wait to hear from you!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it aligns with the work being done at the University of Edinburgh. Be prepared to explain your methodologies and findings clearly, as well as how they contribute to the field of Statistics and Data Science.
✨Engage with Teaching Philosophy
Since teaching is a key part of the role, be ready to articulate your teaching philosophy. Think about specific examples of how you've engaged students in the past and how you plan to contribute to the teaching environment at the university.
✨Familiarise Yourself with the Bayes Centre
Research the Bayes Centre and its initiatives. Understanding its goals and how your expertise can complement their work will show your genuine interest in the position and your potential contributions to interdisciplinary projects.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. This could include inquiries about collaboration opportunities with the Alan Turing Institute or how the university supports research initiatives. It shows you're proactive and genuinely interested in the role.
