Research Scientist Intern, AI for Sciences, 2023 (London)
London, UK
DeepMind
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
About us
At DeepMind we've built a unique culture and work environment where long-term ambitious research can flourish. We combine the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. Now we also want to use our toolkit to accelerate scientific discovery, and our successes in protein folding, quantum chemistry, meteorology, fusion, genomics and pure mathematics make us optimistic that we can continue to build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity.
DeepMind is currently recruiting Interns to join our interdisciplinary Science team and contribute to our ground-breaking research to solve challenging problems in all disciplines of Science. Interns in the Science Program leverage their domain knowledge and explore the use of machine learning approaches to advance scientific knowledge by drawing on expertise from a variety of natural science fields. Disciplines may include but are not limited to genomics, systems biology, structural biology, synthetic biology, medicinal chemistry, quantum chemistry, materials science and molecular property prediction.
Snapshot
DeepMind is active within the wider research community through publications and partners with many of the world’s top academics and academic institutions. We have built a hardworking and engaging culture, combining the best of academia with product led environments, providing an ambitious balance of structure and flexibility.
Our approach encourages collaboration across all groups within the Research team, leading to ambitious creativity and the scope for creative breakthroughs at the forefront of research.
The Role
Interns work with our Research Scientists to:
- Develop novel AI and ML based approaches to solve hard scientific problems
- Design, implement and evaluate models, agents and software prototypes
- Report and present research findings and developments including status and results clearly, verbally and in writing
- Suggest and engage in team collaborations to meet research goals
About you
In order to apply, you should be:
- Studying towards a PhD in a technical field and/or in the natural sciences
- Available for 16-20 weeks within 2023 (please note: there is no fixed start month)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Chemistry Deep Learning Machine Learning Mathematics PhD Research
Perks/benefits: Startup environment
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