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For Companies At a Glance
- Tasks: Join a dynamic team tackling health science challenges using innovative Bayesian data science methods.
- Company: Collaborative research programme across top UK universities.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful research.
- Why this job: Make a real difference in health sciences while advancing your research career.
- Qualifications: PhD in Statistics or related field; experience in Bayesian statistics preferred.
- Other info: Exciting cross-disciplinary project with excellent networking opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Apr 6, 2018
Postdoctoral Research Positions (5 Posts)
New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences
Open Positions
- Research Associate, School of Mathematics, University of Bristol
- Research Associate, MRC Biostatistics Unit, University of Cambridge
- Senior Research Associate, Department of Mathematics and Statistics, Lancaster University
- Postdoctoral Research Assistant, Department of Statistics, University of Oxford
- Research Fellow, Department of Statistics, University of Warwick
Project and Focus
We invite applications for Post-Doctoral Research Associates to join the New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences programme. This is an exciting, cross-disciplinary research project that will develop new methods for Bayesian statistics fit-for-purpose to tackle contemporary Health Science challenges, including real-time inference and prediction for large-scale epidemics, and synthesising information from distinct data sources for large-scale studies such as the UK Biobank. Methodological challenges include making Bayesian methods scalable to big data and robust to model errors.
This £3M programme is funded by EPSRC and brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Oxford and Warwick. Five PDRA positions are available to build a team that will develop new Bayesian and Computational Statistical methods, motivated and applied to Health challenges. Active collaboration across partner institutions and with project partners is expected. Each partner institution has either a 3-year or 4-year position available.
Responsibilities and Qualifications
- PhD in Statistics or a related discipline (or close to completion).
- Collaborate with investigators to undertake and support research to achieve the grant’s aims at your university.
- Publish in leading statistical/application journals; present research at workshops and conferences.
- Develop code implementing new statistical methods; participate in project meetings.
- Experience in one or more of the following areas: Bayesian statistics, computational statistics, statistical machine learning, statistical genetics, inference for epidemics.
- Proven ability to develop new statistical methodology.
- Strong computational skills; ability to contribute to theoretical, methodological and applied statistics as part of a balanced team.
- Demonstrable ability to produce high-quality academic writing.
Application Process
The application process is administered by Lancaster University for the Lancaster, Oxford, Bristol and Warwick posts. Applicants must apply through Lancaster University’s website: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2232, and clearly indicate the position(s) for consideration. For the Cambridge vacancy, go to http://www.jobs.cam.ac.uk/job/16971/ and use the online application form after logging in.
Contact and Diversity
Candidates considering applying are encouraged to contact: Professor Paul Fearnhead (p.fearnhead@lancaster.ac.uk), Sylvia Richardson (sylvia.richardson@mrc-bsu.cam.ac.uk), Christophe Andrieu (c.andrieu@bristol.ac.uk), Chris Holmes (c.holmes@stats.ox.ac.uk) or Gareth Roberts (Gareth.O.Roberts@warwick.ac.uk) to discuss the programme in greater detail.
We welcome applications from people in all diversity groups.
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JOB: PDRA positions (5 posts) at the Universities of Bristol, Cambridge, Lancaster, Oxford and [...] 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: PDRA positions (5 posts) at the Universities of Bristol, Cambridge, Lancaster, Oxford and [...]
✨Tip Number 1
Network like a pro! Reach out to current researchers or professors in your field. A casual chat can lead to insider info about unadvertised positions or tips on how to ace the interview.
✨Tip Number 2
Prepare for those interviews! Research the institutions and their recent projects. Tailor your questions and answers to show you’re genuinely interested in their work and how you can contribute.
✨Tip Number 3
Show off your skills! Bring examples of your previous work or projects to the interview. Whether it’s code, papers, or presentations, having tangible proof of your abilities can really set you apart.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace JOB: PDRA positions (5 posts) at the Universities of Bristol, Cambridge, Lancaster, Oxford and [...]
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application for each position you’re applying for. Highlight your relevant experience in Bayesian statistics and computational methods, and show how it aligns with the specific research focus of the programme.
Show Off Your Writing Skills: Since high-quality academic writing is key, take the time to polish your CV and cover letter. Use clear, concise language and make sure to proofread for any typos or errors. We want to see your best work!
Follow the Application Instructions: Each university has its own application process, so be sure to follow the instructions carefully. Apply through the specified websites and clearly indicate which position(s) you’re interested in. It’ll save us all some time!
Reach Out for Clarification: If you have any questions about the positions or the application process, don’t hesitate to contact the listed professors. They’re there to help and can provide valuable insights that might strengthen your application.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Bayesian Stuff
Make sure you brush up on your knowledge of Bayesian statistics and computational methods. Be ready to discuss specific challenges in health sciences that you've tackled or are passionate about, as this will show your genuine interest in the role.
✨Show Off Your Collaboration Skills
Since this position involves active collaboration across institutions, be prepared to share examples of how you've successfully worked in teams. Highlight any interdisciplinary projects you've been part of, especially those that required communication with non-statisticians.
✨Prepare for Technical Questions
Expect some technical questions related to statistical methodologies and coding. Brush up on your programming skills and be ready to discuss how you've implemented new statistical methods in your past work. Practising coding problems can also help!
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the research programme or the team dynamics. This shows your enthusiasm and helps you gauge if the environment is the right fit for you.
