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- Tasks: Join a team to research and model the global HIV epidemic with leading experts.
- Company: Imperial College London, collaborating with UNAIDS Reference Group.
- Benefits: Gain valuable experience in a prestigious institution and contribute to global health.
- Why this job: Make a real difference in public health while developing your research skills.
- Qualifications: Postdoctoral or predoctoral candidates with a background in epidemiology or data science.
- Other info: Fixed-term positions with opportunities for international collaboration and impactful research.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking team members for two positions at Imperial College London for projects related to epidemiology, estimates, and modelling of the global HIV epidemic working closely with the UNAIDS Reference Group on Estimates, Modelling and Projections.
Both positions are fixed-term to December **** in the first instance, and open to candidates at the postdoctoral and predoctoral level.
The first position is for Research Manager for the UNAIDS Reference Group on Estimates, Modelling, and Projections, an international collaboration of experts on HIV epidemiology, surveillance, and modelling who provide scientific guidance to UNAIDS and partner organizations on the methods and data used for global HIV epidemic estimates and projections. The post holder will join the Secretariat of the UNAIDS Reference Group, working closely with co-chairs at Imperial College London and Dr. Leigh Johnson at the University of Cape Town to coordinate research activities amongst a large number of international research partners and stakeholders, lead new research on epidemiological analysis and modelling related to the objectives of the UNAIDS Reference Group, and set the agenda of the Reference Group.
The second position is to develop new statistical and mathematical modelling approaches for estimating HIV epidemic trends and transmission dynamics. The post will be joint with the Department of Infectious Disease Epidemiology and the Imperial College Data Science Institute, with potential project opportunities including:
- New geostatistical models for spatio-temporal inference about HIV incidence in sub-Saharan Africa.
- Developing statistical and mathematical models for combining administrative health system data and population survey data to understand HIV patterns and trends.
- Modelling the optimal design of new HIV surveillance platforms in sub-Saharan Africa that leverage biomarkers for recent HIV infection and HIV case surveillance data.
- Analysis of HIV epidemic trends and transmission dynamics in general population HIV cohort studies in SSA.
We encourage interested candidates to be in touch with Dr. Seth Flaxman (Dept of Maths / Data Science Institute, Imperial College London) or Dr. Leigh Johnson at the University of Cape Town.
Research Positions With The Unaids Reference Group in England 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 Research Positions With The Unaids Reference Group in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Imperial College London or the UNAIDS Reference Group. A friendly chat can give you insider info and might just lead to a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of HIV epidemiology and modelling. We recommend creating a list of potential questions and practising your answers with a friend or mentor.
✨Tip Number 3
Show your passion! When you get the chance to speak with anyone from the team, make sure to express why you're excited about the research and how you can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Research Positions With The Unaids Reference Group in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the specific research positions we're offering. Highlight relevant experience in epidemiology, modelling, or any related projects that showcase your skills and knowledge in HIV research.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your background aligns with our mission at UNAIDS. Be sure to mention any specific projects or experiences that relate directly to the job description.
Showcase Your Research Skills: In your application, emphasise your research skills and any statistical or mathematical modelling techniques you’ve used. We want to see how you can contribute to our projects and help advance our understanding of the global HIV epidemic.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research
Before the interview, dive deep into the latest research and methodologies related to HIV epidemiology and modelling. Familiarise yourself with the work of the UNAIDS Reference Group and be ready to discuss how your background aligns with their objectives.
✨Prepare Thoughtful Questions
Think of insightful questions to ask during the interview. This shows your genuine interest in the role and the projects. Ask about the current challenges the team faces or how they measure the success of their research initiatives.
✨Showcase Your Collaboration Skills
Since the positions involve working with international partners, highlight your experience in collaborative research. Share specific examples of how you've successfully worked in teams, especially in diverse or cross-disciplinary settings.
✨Practice Your Presentation
You might need to present your previous research or ideas during the interview. Practise explaining complex concepts clearly and concisely. Use visuals if possible, as this can help convey your points more effectively.
