At a Glance
- Tasks: Join a team to develop machine learning methods for climate data and agriculture adaptation.
- Company: University of Leeds, a leading research-intensive university.
- Benefits: 42 days holiday, generous pension, health perks, and personal development opportunities.
- Other info: Collaborative environment with access to state-of-the-art facilities.
- Why this job: Make a real impact on climate change while advancing your research career.
- Qualifications: Background in machine learning and a passion for tackling societal issues.
The predicted salary is between 35000 - 45000 £ per year.
You will join a team of climate scientists and machine learning specialists at the University of Leeds to work on the new EU Horizon Europe project "Dynamic climate-agriculture intelligence for EU land management and cropping systems adaptation (TIPPING)". TIPPING is a 3-year project coordinated by Neuropublic, an SME based in Greece, and involving 16 partners across Europe. You will work with Prof Amanda Maycock, Dr Chetan Deva and Dr Maria Karypidou to develop machine learning downscaling methods for climate model datasets to provide high spatial resolution climate information that will be used by other partners to assess the changing agroecological zones in Europe under future scenarios.
Responsibilities include applying machine learning to study the potential effects of future climate tipping points on agriculture. You will work collaboratively with scientists across the project.
Are you an ambitious researcher looking for your next challenge? Do you have a background in machine learning with an interest in applying your skills to pressing societal issues like climate change? Do you want to further your career in one of the UK's leading research intensive Universities?
Benefits:
- 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‑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.
- And much more!
Research Fellow in Machine Learning for Agroclimatic Adaptation in Leeds employer: University of Leeds
The University of Leeds is an exceptional employer, offering a vibrant work culture that fosters collaboration among climate scientists and machine learning specialists. With generous benefits including 42 days of holiday, a robust pension scheme, and extensive personal development opportunities, employees are supported in both their professional and personal lives. Located in a leading research-intensive environment, this role provides a unique chance to contribute to meaningful projects addressing critical societal challenges like climate change.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in Machine Learning for Agroclimatic Adaptation in Leeds
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✨Consider Certification Programs
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✨Check Out Career Pages Directly
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We think you need these skills to ace Research Fellow in Machine Learning for Agroclimatic Adaptation in Leeds
Some tips for your application 🫡
Show Off Your Experience with Field Work:In the agricultural and forestry sciences field, practical experience is golden. Be sure to highlight any field work, internships, or volunteer opportunities you've had that relate to this area. We want to see your hands-on skills, so don’t forget to sprinkle in any specific tasks you undertook or technologies you used in your applications for University of Leeds.
Get Technical with Your Qualifications:In your CV and cover letter, dive into any relevant technical skills or certifications you've gained. If you've got knowledge in areas like soil science, pest management, or environmental conservation, flaunt it! Listing out specific qualifications and how they tie into the role can really set you apart from the rest when applying for Research Fellow in Machine Learning for Agroclimatic Adaptation at University of Leeds.
Tailor Your Personal Statement:Your personal statement or cover letter should reflect your passion for the agricultural and forestry sciences. Talk about why you're excited about the role and how you envision contributing to University of Leeds. This is your chance to showcase your motivation and cultural fit, so keep it engaging and genuine!
Keep It Professional Yet Approachable:While we love to see your personality shine through in applications, remember to maintain a level of professionalism in your writing. Use clear and concise language, and make sure your application materials for Research Fellow in Machine Learning for Agroclimatic Adaptation at University of Leeds are free from jargon unless necessary. This will help the hiring team easily understand your qualifications and enthusiasm.
How to prepare for a job interview at University of Leeds
✨Know Your Crops!
Make sure you brush up on the specific crops, soils, and pest management strategies relevant to the role in agricultural sciences at University of Leeds. Be prepared to discuss your practical experiences with eco-friendly farming techniques, as this will demonstrate your commitment to sustainable practices – something that’s becoming increasingly important in our field.
✨Showcase Your Field Work
Since this is a full-time role, it’s vital to bring along your portfolio showcasing any projects or research you've conducted. Talk about your hands-on experience in the field, whether it’s data collection, experimentation, or working with farmers. This not only illustrates your knowledge but also your willingness to get your hands dirty!
✨Embrace Tech in Agriculture
The agricultural sector is rapidly embracing technology, so don’t shy away from discussing tools like GIS, remote sensing, or precision agriculture software you’ve used. Highlighting your tech-savviness can set you apart, especially at a forward-thinking company like University of Leeds.
✨Passion for Sustainability
Full-time roles demand a genuine passion for what you do, especially in agriculture where sustainability is key. Be ready to share your ideas on how to improve agricultural practices, reduce environmental impact, and contribute to food security. Showing your long-term vision for the industry can really impress the interviewers at University of Leeds.
