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- Tasks: Join a team to develop innovative statistical frameworks for biodiversity surveys using eDNA.
- Company: The University of Kent is a leading institution known for its research excellence and collaborative environment.
- Benefits: Enjoy a supportive academic setting with opportunities for professional growth and collaboration.
- Why this job: Be part of groundbreaking research that impacts biodiversity conservation and enhances your academic career.
- Qualifications: Strong background in applied Bayesian modelling and computational methods required.
- Other info: Work alongside renowned researchers in an interdisciplinary project funded by NERC.
The predicted salary is between 36000 - 60000 £ per year.
Post-Doc in Applied Bayesian Modelling at the University of Kent
Jan 22, 2020
We are advertising for a postdoctoral researcher (PDRA) to work on our NERC-funded project “Integrating new statistical frameworks into eDNA survey and analysis at the landscape scale”.
This interdisciplinary project is led by Dr. Eleni Matechou at the University of Kent, with co-Investigators including Dr. Alex Bush (University of Lancaster), Professor Jim Griffin (Statistical Science, UCL), Professor Richard Griffiths (Durrell Institute of Conservation and Ecology, University of Kent), and Professor Doug Yu (UEA).
The aim of the project is to develop an integrated statistical framework for DNA-based biodiversity surveys. We seek a PDRA with a strong research record and relevant expertise in applied Bayesian modelling and computational methods.
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Post-Doc in Applied Bayesian Modelling at the University of Kent 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 Post-Doc in Applied Bayesian Modelling at the University of Kent
✨Tip Number 1
Network with professionals in the field of Bayesian modelling and biodiversity research. Attend relevant conferences or workshops where you can meet researchers like Dr. Eleni Matechou and her co-investigators, as personal connections can often lead to job opportunities.
✨Tip Number 2
Familiarise yourself with the specific statistical frameworks and computational methods mentioned in the job description. Being able to discuss these frameworks intelligently during an interview will demonstrate your expertise and enthusiasm for the project.
✨Tip Number 3
Prepare to showcase your previous research work that aligns with the project’s goals. Highlight any experience you have with eDNA surveys or similar interdisciplinary projects, as this will make you a more attractive candidate.
✨Tip Number 4
Stay updated on recent advancements in applied Bayesian modelling and related fields. Being knowledgeable about current trends and breakthroughs will not only help you in interviews but also show your commitment to continuous learning in your area of expertise.
We think you need these skills to ace Post-Doc in Applied Bayesian Modelling at the University of Kent
Some tips for your application 🫡
Understand the Project: Familiarise yourself with the NERC-funded project and its objectives. Read up on eDNA surveys and the role of Bayesian modelling in biodiversity research to demonstrate your knowledge in your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise your research experience in applied Bayesian modelling and computational methods. Provide specific examples of past projects or publications that showcase your expertise.
Tailor Your Application: Customise your application materials to align with the job description. Mention the key skills and experiences that match the requirements outlined by the University of Kent, particularly those related to interdisciplinary collaboration.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents for clarity and grammatical accuracy. A well-presented application reflects your attention to detail and professionalism.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to Bayesian modelling. Highlight any relevant publications or presentations that demonstrate your expertise and how they align with the goals of the project.
✨Understand the Project's Objectives
Familiarise yourself with the NERC-funded project and its aims. Be ready to articulate how your skills can contribute to developing the integrated statistical framework for DNA-based biodiversity surveys.
✨Prepare for Technical Questions
Expect questions that assess your knowledge of applied Bayesian modelling and computational methods. Brush up on key concepts and be ready to solve problems or discuss methodologies during the interview.
✨Engage with the Interview Panel
The panel includes esteemed researchers from various institutions. Show genuine interest in their work and ask insightful questions about their research. This demonstrates your enthusiasm for collaboration and interdisciplinary work.
