Associate Lecturer (Teaching) in Machine Learning for Materials Science , - Ref:1884510
The Institute for Materials Discovery IMD is looking for a motivated Lecturer (Teaching) in materials science focused on machine learning to deliver Machine Learning and Data-Driven Materials Science related modules, and support the teaching of core modules at MSc Level.
IMD offers a uniquely stimulating diverse and open environment with more than 20 staff members pursuing high-quality research and teaching. We have a lively community of academic staff, postdocs, PhD and MSc students working across multiple experimental and computational domains. We have groups working on materials for bio sensors, energy storage and conversion (e.g., photovoltaics, thermoelectrics), materials for sustainability as well as multiscale computational materials modelling and data-driven discovery.
The successful candidate will be supervising dissertations for graduate levels.
£45,610 - £53,757 per annum
Founded in 1826 in the heart of London, UCL is London's leading multidisciplinary university, with more than 13,000 staff and 42,000 students from 150 different countries.
Institute for Materials Discovery
Material science underpins the modern world, from smart phones to satellites, solar cells to dialysis, and is at the cutting edge of innovation in areas such as transport, health care, electric vehicles and renewable energy. The Institute for Materials Discovery (IMD), led by its founder and director Professor Kwang-Leong Choy is at the forefront of the design and development of new, sustainable materials to tackle pressing global challenges. It brings together leading experts from several disciplines, and links materials research at UCL which is scattered across departments including Chemistry, Engineering, Biology, Medicine, and Physics.