Research Scientist Position in Neuro-Symbolic Learning @ Samsung AI Research, Cambridge

Are you excited about advancing state of the art in AI research at the intersection between neural and symbolic learning and reasoning?

Samsung AI Research Centre, Cambridge UK (SAIC-C) are seeking an exceptional AI researcher to carry out ground-breaking research in the area of neuro-symbolic learning, combining logical and statistical learning and reasoning. The machine learning & data intelligence (MLDI) lab at SAIC-C is developing cutting-edge data-efficient and compute-efficient machine learning algorithms that will underpin scalable growth of future AI-based products. The individual will work within a cross-disciplinary research centre, collaborating with researchers and engineers in machine learning, logic, computer vision, speech processing, and more.

A unique chance to join an exciting and successful lab in one of the world’s most knowledge intensive and beautiful cities. Enjoy academic freedom as well as the opportunity for your research to benefit millions of users around the world.

Key Skills:

• PhD in CS/AI or associated area.
• World class research experience in statistical machine learning, or logic. Experience or aptitude for developing neuro-symbolic hybrids.
• Exceptional track record of research in AI, as demonstrated by publications in top tier venues such as NeurIPS, ICLR, AAAI, IJCAI.

For informal enquiries contact: t (dot) hospedales (at) samsung (dot) com.

—
Professor Timothy Hospedales
Head of Machine Intelligence Group
Institute of Perception, Action and Behaviour, University of Edinburgh
Programme Director, Machine Learning & Data Intelligence
Samsung AI Research Centre, Cambridge