Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop models and analyse data to support Covid-19 forecasting efforts.
- Company: Leading research institution in Exeter focused on impactful research.
- Benefits: Competitive salary, opportunities for professional development, and a chance to make a difference.
- Why this job: Join a vital mission to improve public health through innovative research.
- Qualifications: PhD required with skills in statistical analysis and modelling.
The predicted salary is between 30046 - 35845 £ per year.
A leading research institution in Exeter is seeking a Postdoctoral Research Associate or Fellow to support Covid-19 forecasting efforts. The position involves developing models, analyzing data, and delivering workshops on uncertainty quantification.
Candidates must hold a PhD and possess skills in statistical analysis and modeling.
Starting salary ranges from £30,046 to £35,845 based on experience. Applications close on 15th January 2021.
Postdoc: Covid-19 Forecasting & Uncertainty Quantification in Devon 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 Postdoc: Covid-19 Forecasting & Uncertainty Quantification in Devon
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and let them know you're on the lookout for opportunities. They might have leads or even recommend you directly to hiring managers.
✨Tip Number 2
Prepare for interviews by brushing up on your statistical analysis and modelling skills. Be ready to discuss your previous work and how it relates to Covid-19 forecasting. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your communication skills! Since you'll be delivering workshops, practice explaining complex concepts in simple terms. This will help us see how well you can engage with diverse audiences.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Postdoc: Covid-19 Forecasting & Uncertainty Quantification in Devon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in statistical analysis and modelling. We want to see how your skills align with our Covid-19 forecasting efforts, so don’t hold back on showcasing your PhD work!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit for our team. Let us know what excites you about uncertainty quantification!
Showcase Your Data Skills: Since this role involves analysing data, be sure to mention any specific tools or software you’re proficient in. We love seeing candidates who can hit the ground running with their data analysis skills!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Models Inside Out
Make sure you’re well-versed in the statistical models relevant to Covid-19 forecasting. Be prepared to discuss your previous work and how it relates to the position. This will show your expertise and passion for the subject.
✨Prepare for Data Analysis Questions
Brush up on your data analysis skills and be ready to tackle questions that test your ability to interpret and manipulate data. Practising with real datasets can help you feel more confident during the interview.
✨Showcase Your Communication Skills
Since the role involves delivering workshops, it’s crucial to demonstrate your ability to communicate complex ideas clearly. Think of examples where you’ve successfully explained technical concepts to non-experts.
✨Research the Institution
Familiarise yourself with the research institution's work, especially their Covid-19 initiatives. This will not only help you tailor your answers but also show your genuine interest in being part of their team.