Machine Intelligence Group, Edinburgh

    An exciting and dynamic research group studying cutting-edge efficient and robust methods for life-long learning to learn and meta-learning. Our diverse applications include computer vision, reinforcement learning of robot control, language, finance and medicine.

PhD Student

Seeking a highly motivated and capable PhD student to advance state of the art in data-efficient few-shot meta-learning with a focus on generalising across diverse training and testing task distributions. Application domain is flexible depending on applicant experience, including computer vision, reinforcement learning for control, knowledge graphs.
  • Essential Requirements: First class degree in computer science, engineering or related. Strong experience in machine learning and deep learning, excellent programming skills. Ideal Candidate: Prior experience in meta-learning, track record of research publications.
  • Dates: Applications open until filled. Start date ideally winter 2020, or as soon as possible thereafter.
  • Details: This is a 3 year industry fully-funded position open to applicants of any nationality.
  • Contact: t (dot) hospedales (at) ed (dot) ac (dot) uk

Research Associate

Seeking a highly motivated and independent Research Associate to advance state of the art in data-efficient few-shot meta-learning with a focus on generalising across diverse training and testing task distributions. Application domain is flexible depending on applicant experience, including computer vision, reinforcement learning for control, knowledge graphs.
  • Requirements: PhD completed or soon to be awarded in machine learning, deep learning, computer vision, or related subject. Strong research track record with publications in top venues (CVPR, NeurIPS, T-PAMI, etc). Excellent programming skills. Ideal: Prior experience in data-efficient meta-learning.
  • Dates: Applications open until filled. Start date ideally winter 2020, or as soon as possible thereafter
  • Details: This is a 1.5 year industry funded position open to applicants of any nationality.
  • Contact: t (dot) hospedales (at) ed (dot) ac (dot) uk

Samsung AI Centre, Cambridge

    Samsung AI Centre (SAIC) is an exciting new lab pushing the boundaries of basic AI research to impact real products used by millions around the world. Enjoy the research flexibility of an academic lab with the resources of a large corporation. Our topics include machine learning, reasoning, and their intersection in neurosymbolic learning and reasoning; with applications spanning from computer vision to speech recognition The centre has strong links to academic labs in Edinburgh, Cambridge, Imperial, Surrey, Queen Mary and Rutgers among others and enjoys a network of other SAIC labs in Moscow, Toronto and New York.

Research Scientist

Seeking outstanding AI researchers to join the Machine Learning and Data Intelligence Group at SAIC-C. Research topics include neurosymbolic learning, data-efficient meta-learning, amortized learning, semi-supervised learning, knowledge graphs, domain adaptation and generalisation, NAS and model compression.
  • Essential Requirements: PhD or near PhD in machine learning, deep learning, computer vision, or related subject. Strong research track record with publications in top venues (CVPR, NeurIPS, T-PAMI, etc). Excellent programming skills.
  • Dates: Applications open until filled. Start date: ASAP.
  • Details: This is a permanent, full-time post. Open to international applicants.
  • Contact: t (dot) hospedales (at) samsung (dot) com

Research Engineer

Seeking a highly motivated research engineer to support the Machine Learning and Data Intelligence Group at SAIC-C. Research topics include neurosymbolic learning, data-efficient meta-learning, amortized learning, semi-supervised learning, knowledge graphs, domain adaptation and generalisation, NAS and model compression.
  • Essential Requirements: Strong software engineering experience with a focus on deep learning. Development experience in GPU and distributed computing environments. Publications track record in machine learning, comptuer vision, signal processing, or knowledge graphs. Ideal Candidate: Experience in speech recognition or computer vision applications.
  • Dates: Applications open until filled. Start date: ASAP.
  • Details: This is a permanent, full-time post. Open to international applicants.
  • Contact: t (dot) hospedales (at) samsung (dot) com