Lecturer (Teaching) in Design MArch Architectural Design

About the role

The Bartlett School of Architecture is seeking to appoint part-time Lecturer (Teaching) positions on the MArch Architectural Design (AD) programme on 0. FTE or 0. FTE (Design Module Tutor). We are looking for experienced tutors with a proven teaching record ideally at the post-graduate level and world class design research. The key duties and responsibilities for this role will be to deliver high quality teaching of novel research-based design practices exploring the frontiers of architecture and design, with an emphasis on the latest technological advances, particularly cutting-edge design computation, AI, and robotics. This includes contributing to the coordination of the designated design module, developing a design research agenda for a Research Cluster (RC) and delivering relevant teaching material and classes, including formulating and delivering tutorials and participating in weekly design discussions with students. Additionally, the role includes participating in programme wide design reviews, marking and moderation of coursework, examination boards, assessment panels, portfolio reviews and training. Lastly, the candidate will be expected to act responsibly to comply with UCL rules and guidelines regarding all interactions with all UCL staff and students.

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About you

The successful candidate will co-organize the research agenda of a Research Cluster (RC) and co-teach the design modules at the highest level. They should provide proof of their experience working in an academic environment with a relevant track record of high-quality teaching ideally at the MArch / postgraduate level with high-quality student project outputs. Additionally, they should have experience in architectural practice with an awareness of current trends within the profession and basic understanding of social and environmental justice and sustainable design principles. The candidate should show experience in research-based design exploring the frontiers of architecture and design through state of the art technological advances. Specifically, the candidate should demonstrate research expertise in at least one of the following areas: 1) Advanced Robotics, such as robotic sensing, simulation and control, mechatronics, soft robotics; 2) Advanced Computation, such as generative design, simulation, agent-based systems, advanced computational geometry; 3) Artificial Intelligence / Machine Learning, such as reinforcement learning / world models, generative AI, LLMs, multi-objective optimization, creative AI; 4) Advanced Robotic Fabrication or Novel Material Systems, such as robotic fabrication, robotic 3d printing, robotic assembly, novel sustainable materials fabrication research, and advanced timber digital fabrication / construction.

Application Process

Contact Details

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As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: