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- Tasks: Teach and research in cutting-edge statistical methods and collaborate with top researchers.
- Company: Queen Mary University of London, a leader in mathematical sciences.
- Benefits: Competitive salary, flexible working arrangements, and support for career advancement.
- Why this job: Join a vibrant community and make a real impact in the field of Statistics.
- Qualifications: PhD in Statistics or related field and a passion for teaching and research.
- Other info: Commitment to equality and diversity, with strong support for women in academia.
The predicted salary is between 40865 - 60109 £ per year.
Lecturer/Senior Lecturer in Statistics, Queen Mary University of London, UK
The School of Mathematical Sciences is seeking to develop further the area of Statistics and is keen to appoint a Lecturer/Senior Lecturer in Statistics.
The School has research activities in the following areas:
- High-dimensional multivariate statistical modelling (Dr Griffin, Dr Liverani)
- Applied Bayesian statistical inference (Dr Coad, Dr Liverani, Dr Pettit)
- Statistical models for infectious diseases (Dr Griffin)
- Adaptive designs in clinical trials (Dr Coad)
- Design and analysis of computer experiments (Dr Maruri-Aguilar)
- Complex network inference and analysis (Dr Bianconi, Dr Nicosia, Prof Latora)
- Spatial and spatio-temporal modelling (Dr Liverani)
The School is keen to strengthen and expand on the current research in Statistics. The School has many on-going collaborations with other Faculties at Queen Mary, including the Barts Cancer Institute and the Wolfson Institute of Preventive Medicine.
For more information on the Statistics group at Queen Mary, visit: https://www.qmul.ac.uk/maths/research/statistics/
This is a permanent position, with a salary of £40,865 – £60,109. However, please note that the deadline of January 11th 2018 has passed.
The School holds a departmental Bronze Athena SWAN Award and is a registered supporter of the LMS Good Practice scheme. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for child-care support for the attendance of conferences. As part of the School’s commitment to the Athena SWAN and the LMS Good Practice principles, we strongly encourage applications from women.
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Lecturer/Senior Lecturer in Statistics, Queen Mary University of London, UK 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 Lecturer/Senior Lecturer in Statistics, Queen Mary University of London, UK
✨Tip Number 1
Network like a pro! Reach out to current or former staff at Queen Mary University of London. A friendly chat can give us insights into the department and might even lead to a recommendation.
✨Tip Number 2
Showcase your research! Prepare a presentation that highlights your work in high-dimensional multivariate statistical modelling or any relevant area. This will help us stand out during interviews.
✨Tip Number 3
Be ready for questions about collaboration. The School values teamwork, so we should think of examples where we've successfully worked with others, especially in interdisciplinary settings.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re serious about joining the team at Queen Mary.
We think you need these skills to ace Lecturer/Senior Lecturer in Statistics, Queen Mary University of London, UK
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience in high-dimensional multivariate statistical modelling or any relevant research areas mentioned in the job description. We want to see how you fit into our team!
Showcase Your Research: Don’t forget to include details about your past research projects, especially those related to applied Bayesian statistical inference or spatial modelling. We love seeing how your work aligns with our ongoing collaborations and research activities.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Make sure to submit your application through our official website. It’s the best way to ensure we receive all your materials properly. Plus, it shows you’re serious about joining our fantastic team at Queen Mary!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research
Familiarise yourself with the current research activities in the Statistics group at Queen Mary. Be prepared to discuss how your expertise aligns with areas like high-dimensional multivariate statistical modelling or applied Bayesian inference. This shows genuine interest and helps you stand out.
✨Prepare for Teaching Demonstrations
As a Lecturer/Senior Lecturer, you might be asked to conduct a teaching demonstration. Think about how you can effectively communicate complex statistical concepts. Practise explaining topics clearly and engagingly, as this will showcase your teaching style and ability to connect with students.
✨Highlight Collaborative Experience
The School values collaboration, so be ready to share examples of your past collaborative projects. Discuss how you've worked with other faculties or institutions, especially in interdisciplinary settings. This demonstrates your ability to contribute to ongoing collaborations at Queen Mary.
✨Emphasise Commitment to Equality
Given the School's commitment to equality and advancing women’s careers, reflect on how you support diversity and inclusion in academia. Share any initiatives you've been involved in that promote these values, as it aligns with the School's ethos and shows you're a good cultural fit.
