3 data modeler jobs found in London

About the role: Are you a researcher who wants to do serious machine learning in a domain that matters? We are seeking an exceptional Postdoctoral Research Associate to join MindCraft, an innovative programme at Imperial College London developing AI-guided smartphone-based mental health interventions for adolescents. You will work at the intersection of machine learning, computational psychiatry, digital phenotyping, and real-world intervention research — building mathematically grounded, personalised AI systems that can infer mental state from multimodal behavioural data and learn to deliver the right intervention at the right time. What you would be doing: You will play a central role in developing the project’s computational and machine learning core. Your work will include: Developing multimodal models of adolescent mental state from longitudinal mobile and self-report data Designing latent-state, state-space, probabilistic, or representation-learning approaches for modelling...

Position Overview Discipline: EngineeringLocation: London, Devon House (St Katherines Dock) Term: 2 years, fixed term, full-time Direct Reports: n/a Reports to: Professor Osvaldo Simeone Benefits: The university supports staff maintaining a good work-life balance, offering: (i) flexible working and parental leave opportunities; (ii) an employee assistance programme which provides free, confidential advice on both home and work concerns, as well as optional private medical insurance; (iii) season ticket loans; and (iv) being part of the cycle-to-work scheme. Start: October 2026 The Role Northeastern University London invites applications for three Post-Doctoral Research Associates in Reliable Neuromorphic, Classical, and Quantum AI to work with Professor Osvaldo Simeone. The successful candidates will join an ambitious research programme aimed at developing theoretically principled and statistically reliable frameworks for next-generation AI, spanning classical, neuromorphic, and...

About the role This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct world-leading research on Leveraging Ontological Knowledge with Argumentative Agentic AI to Accelerate Chemical Development  under the direction of Prof Francesca Toni, in collaboration with Prof Alexei Lapkin from the University of Cambridge, Dr Antonio Rago from King’s College London, and industrial collaborators, within the AIChemy Hub (https://aichemy.ac.uk/). The successful candidate will focus on developing an advanced argumentative agentic AI approach for chemical development settings based on reinforcement learning but able to shape rewards with the help of ontological knowledge of chemical process development (by the group of Prof. Lapkin based in Cambridge and in Singapore) as well as expert knowledge from humans and from other agents. The approach will be based on and will develop techniques from computational argumentation combined with reinforcement...