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- Tasks: Engage in groundbreaking research using Data Science and AI to tackle environmental challenges.
- Company: Join the UKRI Centre for Doctoral Training, a leader in Environmental Intelligence.
- Benefits: Fully funded 4-year studentships covering tuition, stipend, and research activities.
- Why this job: Make a real difference in sustainability while gaining invaluable skills and experience.
- Qualifications: 1st class or 2i degree in relevant fields; training provided for non-standard backgrounds.
- Other info: Collaborate with top institutions like the Met Office and enjoy excellent career prospects.
The predicted salary is between 15009 - 15009 £ per year.
The UKRI Centre for Doctoral Training in Environmental Intelligence focuses on Data Science and AI for sustainability. The training programme is designed to be applicable to students with a range of backgrounds. Supervisors cover various disciplines related to the use of data in addressing environmental challenges.
Students will have the opportunity to work with the CDT’s external partners, including the Met Office and a range of international institutions and businesses, ensuring they are well versed in both cutting-edge methodology and on-the-ground policy and business implementation.
First cohort: ten fully-funded places are available to start in September 2019. Applications are welcomed for this CDT in Environmental Intelligence (EI) to start in September 2019. Applications are made for entry to the 4-year training programme, including training in the fundamentals of EI and supervision of your PhD research. Fully funded 4-year studentships are available for UK and EU students, covering University tuition fees, all course fees, an annual stipend (£15,009 for the academic year 2019/20), and funds towards research activities. A limited number of studentships are available for exceptional international applicants. Self-funded students are also welcome to apply.
Entry requirements: We welcome applications from those expected to receive a 1st class or 2i undergraduate degree in subjects relevant to the application of Data Science and AI to environmental challenges, such as computer science, statistics, mathematics, climate, health, economics, philosophy, and social and environmental sciences. For those without a computer science/mathematics background, additional training will be provided if required, both before and after joining the CDT. Alternative requirements for those with non-standard qualifications and/or experience can be discussed.
For international students, the minimum requirement for entry to the CDT is IELTS 6.5 (with at least 6.0 in each of the four components), or equivalent.
Applying to the CDT: Initially, expressions of interest should be sent by email to ei@exeter.ac.uk. If you would like to have an informal discussion about the CDT, please contact us to arrange a suitable time to talk to one of the team. Expressions of interest should include:
- Title, First Name, Surname, Email address
- A short statement (no more than 250 words) explaining your motivation for applying to this CDT
- A 2-page CV including your academic and work experience, nationality, and country of normal residence (for the past 3 years, not including full-time education)
- Scans of your academic transcript(s)
- Details of where you heard about this CDT
An initial selection will be made by a recruitment panel, and selected candidates will be invited to an interview (which can be conducted by Skype).
Deadlines for submission: Application deadlines for the first cohort are 31st March 2019, 31st May 2019, and 31st July 2019. Interviews for those in the first round of applications are expected to start in April 2019. You are advised to apply early as the application process is competitive.
UKRI Centre for Doctoral Training in Environmental Intelligence: Data Science & AI for Sustaina[...] in Devon 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 UKRI Centre for Doctoral Training in Environmental Intelligence: Data Science & AI for Sustaina[...] in Devon
✨Tip Number 1
Get your networking game on! Reach out to current students or alumni from the CDT. They can give you insider info and tips that could really help you stand out during the interview process.
✨Tip Number 2
Prepare for those interviews like a pro! Research the Met Office and other partners involved in the CDT. Knowing their work and how it relates to your interests will show you're genuinely invested in the programme.
✨Tip Number 3
Practice your communication skills! Since you'll be engaging with diverse stakeholders, being able to articulate your ideas clearly is key. Try explaining your research interests to friends or family to get comfortable.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re here to support you every step of the way!
We think you need these skills to ace UKRI Centre for Doctoral Training in Environmental Intelligence: Data Science & AI for Sustaina[...] in Devon
Some tips for your application 🫡
Craft a Compelling Statement: Your short statement is your chance to shine! Make sure to clearly express your motivation for applying to the CDT. Keep it concise, engaging, and relevant to the environmental challenges we’re tackling.
Tailor Your CV: When putting together your CV, highlight your academic and work experience that relates to Data Science and AI. We want to see how your background aligns with our mission, so make it easy for us to connect the dots!
Be Thorough with Your Transcripts: Don’t forget to include scans of your academic transcripts! This helps us understand your academic journey and achievements. Make sure they’re clear and legible, so we can easily review them.
Apply Early!: The application process can be competitive, so don’t wait until the last minute. Get your expression of interest in early to give yourself the best chance of standing out. Remember, we’re excited to hear from you!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Stuff
Make sure you brush up on your knowledge of environmental challenges and data science. Be ready to discuss how your background relates to the CDT's focus areas, especially in governance and ethics. This shows you're not just interested in the role but also understand its implications.
✨Engage with Stakeholders
Prepare to talk about your experience in communicating with diverse groups. Think of examples where you've successfully engaged with different stakeholders, as this is crucial for the role. It’ll demonstrate your ability to bridge gaps between technical data and real-world applications.
✨Show Your Passion
In your interview, convey your enthusiasm for environmental intelligence and data science. Share your motivation for applying to the CDT and how you see yourself contributing to the field. A genuine passion can set you apart from other candidates.
✨Ask Thoughtful Questions
Prepare some insightful questions about the CDT and its partnerships, like those with the Met Office. This not only shows your interest but also helps you gauge if the programme aligns with your career goals. Plus, it makes for a more engaging conversation!