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- Tasks: Join a high-impact project to forecast health facility caseloads using advanced data models.
- Company: Be part of the University of Exeter, a top 200 global research university with a vibrant community.
- Benefits: Enjoy flexible working, generous holidays, and excellent parental leave policies.
- Why this job: Contribute to meaningful research that addresses climate-related health challenges while collaborating with diverse stakeholders.
- Qualifications: A relevant PhD in Machine Learning, Data Science, or related fields is required.
- Other info: Applications close on Feb 27, 2025; interviews in March.
The predicted salary is between 36600 - 47900 £ per year.
The Faculty wishes to recruit a Postdoctoral Research Fellow to join a high impact project: ‘Health System Resilience to Climate-related Surges (HERCS)’. This project is funded by the International Development Research Centre (Canada). The successful applicant will be responsible for:
- Data Preparation: Collate, organise, and preprocess large, spatiotemporal datasets, including environmental, socio-economic, and health data.
- Model Development: Design and implement a probabilistic Bayesian hierarchical model to forecast health facility caseloads.
- Feature Analysis: Integrate insights from participatory mapping to identify and assess the importance of features driving health surges.
- Validation and Application: Test and validate the model using synthetic and real-world data, quantify uncertainties and adapt based on insights from resilience analysis.
- Collaboration and Dissemination: Work closely with stakeholders, including the Ministry of Health and NGOs, to demonstrate the model and co-develop actionable insights. Present findings through workshops, conferences and academic publications.
About you: The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in Machine Learning, Data Science, Computer Science, Statistics, or a related field. The successful applicant will be a nationally recognised authority in the subject area and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required.
What we can offer you: Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research. Support teams that understand the University wide research and teaching goals and partner with our academics accordingly. An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development. Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career. A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy. A beautiful campus set in the heart of stunning Devon.
The University of Exeter is a member of the prestigious Russell Group of research-intensive universities and in the top 200 universities in the world (Times Higher Education World University Rankings 2024 and QS World University Ranking 2024). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2023, underpinned by Gold ratings for Student Experience and Student Outcomes. Our world-leading research impact has grown more than any other Russell Group university in recent years, and we are home to some of the world’s most influential researchers, seeking to answer some of the most fundamental issues facing humankind today. More than 99 percent of our research is of international quality and 47 percent is world-leading (2021 Research Excellence Framework).
We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students.
Our Equality, Diversity and Inclusion Commitment: We are committed to ensuring reasonable adjustments are available for interviews and workplaces. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community. With over 30,000 students and 7,000 staff from 150 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN and Project Juno for Physics), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. We are proud signatories of the Armed Forces Covenant and welcome applications from service people.
For further information please contact Dr Tinkle Chugh, e-mail t.chugh@exeter.ac.uk. The closing date for completed applications is Feb 27, 2025. Interviews are expected to take place in March.
Postdoctoral Research Fellow employer: University of Exeter
Contact Detail:
University of Exeter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Fellow
✨Tip Number 1
Network with professionals in the field of health systems and climate resilience. Attend relevant conferences or workshops where you can meet potential collaborators or mentors who might provide insights into the application process or even refer you to the position.
✨Tip Number 2
Familiarise yourself with the specific methodologies mentioned in the job description, such as Bayesian hierarchical models. Being able to discuss these techniques confidently during interviews will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Prepare to showcase your previous research projects that align with the responsibilities of this role. Highlight any experience you have with data preparation, model development, or collaboration with stakeholders, as these are key aspects of the position.
✨Tip Number 4
Research the University of Exeter's recent projects and publications related to health system resilience and climate change. This knowledge will not only help you tailor your discussions but also show your genuine interest in contributing to their ongoing work.
We think you need these skills to ace Postdoctoral Research Fellow
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description and person specification for the Postdoctoral Research Fellow position. Make sure you understand the responsibilities, required qualifications, and the specific skills needed for the role.
Tailor Your CV: Customise your CV to highlight relevant experience in Machine Learning, Data Science, or related fields. Emphasise your research projects, publications, and any collaborative work that aligns with the job requirements.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background and expertise to the project 'Health System Resilience to Climate-related Surges (HERCS)'. Discuss how your skills can contribute to data preparation, model development, and stakeholder collaboration.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and professional, as this reflects your attention to detail and communication skills.
How to prepare for a job interview at University of Exeter
✨Understand the Project
Familiarise yourself with the 'Health System Resilience to Climate-related Surges (HERCS)' project. Be prepared to discuss how your skills in data preparation and model development can contribute to its success.
✨Showcase Your Expertise
Highlight your relevant PhD or equivalent experience in Machine Learning, Data Science, or related fields. Be ready to provide examples of past projects where you developed research objectives and methodologies.
✨Prepare for Collaboration Questions
Since collaboration is key for this role, think of examples where you've worked with stakeholders or led a team. Be ready to discuss how you can engage with the Ministry of Health and NGOs effectively.
✨Discuss Your Presentation Skills
As the role involves presenting findings at workshops and conferences, prepare to talk about your experience in disseminating research. Share specific instances where you successfully communicated complex ideas to diverse audiences.
