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- Tasks: Lead modelling analysis and apply machine learning to understand Arctic wildfires.
- Company: University of Leeds, a leader in climate and atmospheric science.
- Benefits: 42 days holiday, generous pension, gym discounts, and personal development opportunities.
- Why this job: Make a real impact on Arctic climate challenges with an international expert team.
- Qualifications: PhD in atmospheric or climate science and experience with numerical models.
- Other info: Collaborate globally and tackle complex environmental problems.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We seek to appoint a Research Fellow in Modelling of Arctic Atmosphere and Wildfire within the Institute for Climate and Atmospheric Science at the University of Leeds. The successful candidate will lead regional modelling analysis and apply machine learning methods to improving knowledge of drivers of high-latitude fires, help produce high-latitude fire scenarios for a range of future warming pathways and assess contributions of emission sources and chemical processes to regional pollutants under Arctic conditions. The work is funded jointly under the ALPACA-UK (Aerosol heterogeneous Processing as a source of oxidants in Cold winter Atmospheres: application to Alaska and UK) project and the BorealBlaze project. ALPACA-UK is the UK component of the international ALPACA (Alaskan Layered Pollution And Chemical Analysis) study, which involves more than 50 researchers from partner organisations across Europe and the USA. BorealBlaze is a related project aiming to better understand potential future changes in high latitude wildfire and impacts on Arctic atmospheric composition and climate.
In this role, in collaboration with BorealBlaze Norwegian and other international partners, you will apply machine learning methods to develop a statistical model of natural and anthropogenic controls on boreal region wildfires, which will then be used to develop future fire activity scenarios aligned to a range of climate warming pathways. In addition, you will undertake and analyse regional atmospheric chemistry model simulations using the WRF-CMAQ modelling framework, with a key focus on heterogeneous chemical processes, informed by recent work being undertaken as part of ALPACA-UK, and analysis of field measurements from the ALPACA-2022 field campaign in Fairbanks. You will have the opportunity to work with a wide range of research groups, and to take a leading and active role in international project meetings.
You will have a PhD in atmospheric science or climate science, including experience of running and analysing numerical models, and an appreciation of machine learning methods suitable for building models of environmental systems. You will have a proven ability to tackle complex science problems using a combination of models and observations, and an enthusiasm to work closely with international collaborators.
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route, but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa. For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent.
What We Offer In Return
- 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
- Generous pension scheme plus life assurance – The University contributes 14.5% of salary.
- Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
To explore the post further or for any queries you may have, please contact: Professor Stephen Arnold. Email: s.arnold@leeds.ac.uk
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Research, Analyst, and Information Technology
Industries
- Higher Education
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Research Fellow in Modelling of Arctic Atmosphere and Wildfire employer: University of Leeds
Contact Detail:
University of Leeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in Modelling of Arctic Atmosphere and Wildfire
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Leeds or those involved in similar projects. A friendly chat can give us insights into the role and might even lead to a referral.
✨Tip Number 2
Prepare for interviews by diving deep into the latest research on Arctic atmosphere modelling and wildfires. We want to show that we’re not just passionate but also knowledgeable about the field.
✨Tip Number 3
Practice our pitch! We should be ready to explain how our skills in machine learning and atmospheric science can contribute to the projects like ALPACA-UK and BorealBlaze. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the team.
We think you need these skills to ace Research Fellow in Modelling of Arctic Atmosphere and Wildfire
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in atmospheric science and machine learning. We want to see how your skills align with the specific responsibilities of the role, so don’t hold back!
Showcase Your Collaboration Skills: Since this role involves working with international partners, it’s crucial to demonstrate your ability to collaborate effectively. Share examples of past teamwork and how you’ve contributed to joint projects.
Highlight Relevant Experience: Be sure to mention any experience you have with numerical models and regional atmospheric chemistry simulations. We’re looking for candidates who can hit the ground running, so make your relevant experience stand out!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive your details and can consider you for this exciting opportunity.
How to prepare for a job interview at University of Leeds
✨Know Your Models
Make sure you brush up on your knowledge of numerical models, especially the WRF-CMAQ framework. Be ready to discuss your experience with running and analysing these models, as well as how you've applied machine learning methods in your previous work.
✨Showcase Collaboration Skills
Since this role involves extensive collaboration with international partners, be prepared to share examples of how you've successfully worked in teams. Highlight any experiences where you tackled complex problems together, especially in a research context.
✨Understand the Arctic Context
Familiarise yourself with the specific challenges related to Arctic atmosphere and wildfires. Be ready to discuss recent studies or findings in this area, and how they relate to the projects you'll be involved in, like ALPACA-UK and BorealBlaze.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the projects, team dynamics, and future directions of the research. This shows your genuine interest and helps you assess if the role is the right fit for you.