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- Tasks: Lead innovative research in Statistics and collaborate with top experts.
- Company: Queen Mary University of London, a hub for mathematical sciences.
- Benefits: Competitive salary, supportive environment, and flexible working arrangements.
- Why this job: Make a real impact in advancing statistical research and education.
- Qualifications: PhD in Statistics or related field and strong research background.
- Other info: Join a diverse team committed to equality and inclusion.
The predicted salary is between 40865 - 60109 £ per year.
Overview
The School of Mathematical Sciences is seeking to appoint a Lecturer/Senior Lecturer in Statistics to develop further the area of Statistics.
Research areas and staff
- 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 the current research in Statistics. The School has many ongoing collaborations with other Faculties at Queen Mary, in particular, the Barts Cancer Institute and the Wolfson Institute of Preventive Medicine.
More details on the Statistics group at Queen Mary: (information available on the Statistics page at Queen Mary)
Appointment details
This is a permanent position, with a salary of £40,865 – £60,109. The deadline is January 11th 2018. To apply, and for more information, see the Queen Mary Jobs page.
Equality and inclusion
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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JOB: 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 JOB: Lecturer/Senior Lecturer in Statistics, Queen Mary University of London, UK
✨Tip Number 1
Network like a pro! Reach out to current staff or alumni from Queen Mary University of London. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by diving deep into the research areas mentioned in the job description. Show us how your expertise aligns with their ongoing projects and collaborations.
✨Tip Number 3
Don’t just focus on your teaching skills; highlight your research contributions too! We want to see how you can expand the Statistics area at Queen Mary.
✨Tip Number 4
Apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves!
We think you need these skills to ace JOB: 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 Lecturer/Senior Lecturer role. Highlight your experience in high-dimensional multivariate statistical modelling or any relevant research areas mentioned in the job description.
Showcase Your Research: Don’t forget to include details about your research projects, especially those related to applied Bayesian statistical inference or statistical models for infectious diseases. We want to see how your work aligns with our ongoing collaborations!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your qualifications and experiences. We appreciate clarity as much as we value expertise!
Apply Through Our Website: Remember to submit your application through the Queen Mary Jobs page. It’s the best way to ensure your application gets to us directly and is considered promptly!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research
Familiarise yourself with the current research areas at Queen Mary, especially those related to high-dimensional multivariate statistical modelling and applied Bayesian inference. Be ready to discuss how your expertise aligns with their ongoing projects and how you can contribute to expanding their research.
✨Showcase Collaboration Skills
Highlight any previous collaborations you've had, particularly in interdisciplinary settings. The School values partnerships with other faculties, so be prepared to share examples of how you've worked effectively with others, especially in areas like clinical trials or public health.
✨Emphasise Inclusivity
Since the School is committed to equality and inclusion, demonstrate your understanding of these values. Share experiences where you've supported diversity in your teaching or research, and express your enthusiasm for contributing to an inclusive academic environment.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask during the interview. Inquire about the future direction of the Statistics group, potential collaborations, or how they support staff development. This shows your genuine interest in the role and the institution.
