At a Glance
- Tasks: Lead innovative AI research to enhance biodiversity science and mentor future researchers.
- Company: Join UCL, a leading university at the forefront of environmental and AI research.
- Benefits: Competitive salary, research funding opportunities, and a vibrant academic community.
- Other info: Collaborative environment with opportunities for interdisciplinary work and career growth.
- Why this job: Make a real impact on biodiversity using cutting-edge AI technologies.
- Qualifications: Strong background in AI, data science, and ecological research.
The predicted salary is between 53000 - 60000 £ per year.
Rapid environmental change is transforming biodiversity and ecosystems worldwide, but our ability to process and integrate diverse ecological, environmental and genomic data to generate robust, decision-relevant insights remains limited. To address this, UCL seeks to appoint a new academic colleague to help define the next generation of biodiversity science through the development and application of AI.
Based at the People and Nature Lab at UCL East, the successful candidate will develop novel and/or apply AI-enabled approaches to ecological, genomic and environmental data. This may include work with vision and acoustic sensors, genomic and other -omics data, remote sensing data, LiDAR, multimodal and spatio-temporal modelling, foundation models, interpretable AI or related approaches.
The successful candidate will establish (Grade 8) or expand (Grade 9) an independent, collaborative research programme within Genetics, Evolution and Environment (GEE) with opportunities to contribute to a distinctive living lab environment at UCL East, and work across UCL with colleagues in computer science, geography, and health. We also welcome exceptional applicants working at the broader interface linked to other GEE research, provided they demonstrate strong quantitative and data science expertise and a clear vision for advancing the field.
The post holder will be expected to secure competitive research funding, supervise and mentor postgraduate researchers, contribute to research-led teaching and develop external engagement with conservation organisations, policy bodies and other partners.
Lecturer/Associate Professor of AI for Biodiversity at University College London (UCL) employer: Ellis
University College London (UCL) is an exceptional employer that fosters a vibrant and collaborative work culture, particularly within the innovative People and Nature Lab at UCL East. As a Lecturer/Associate Professor of AI for Biodiversity, you will have access to cutting-edge resources and interdisciplinary partnerships, enabling you to make significant contributions to biodiversity science while mentoring the next generation of researchers. UCL prioritises employee growth through competitive funding opportunities and engagement with conservation organisations, making it an ideal place for those seeking meaningful and impactful careers in academia.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer/Associate Professor of AI for Biodiversity at University College London (UCL)
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We think you need these skills to ace Lecturer/Associate Professor of AI for Biodiversity at University College London (UCL)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ellis, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ellis. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ellis
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ellis!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
