Postdoc Fellowship Programme

Digital Futures has established a competitive international Postdoctoral Fellowship programme with regular calls for proposals to attract talented early-career researchers to join the centre. Designed to be an internationally renowned career programme, it aims to attract top graduates from around the world, with a strong emphasis on gender and diversity.

Digital Futures postdoctoral fellows conduct their projects under the joint supervision of at least two senior researchers. The programme is designed to strengthen the research capabilities of the supervising researchers and their groups, enhance their networks, and expand their knowledge base. For the fellows, it provides career development opportunities through a mentorship programme and active participation in Digital Futures’ scientific networking and dissemination activities.

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Abhishek Chandra

Enhancing predictive maintenance of power transformers: Transitioning from data-driven to physics-enhanced multimodal operator learning

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Alejandra Gómez Ortega

Design and Policy Considerations for (Inter)Personal Intimate Data

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Alice Haynes

Felt Connections – On the Design of Meaningful Body-Centered Interactions for Children with Shape-Changing Textile Interfaces

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Andrea Martin

Learning to optimize for real-time control and coordination in energy grids

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Anupriya Tuli

Technology Mediated Collective Caring through Menstrual and Reproductive Journeys

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Belén García Pascual

Topological Data Analysis for AI-based Personalized Dementia Treatments

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Félix Nieto del Amor

Precision Medicine for Enhanced Personalized Treatments of Dementia Diseases Using AI-Powered Longitudinal MRI Retrieval

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Hanying Zhao

Theory and Methods for Privacy-Preserving Localization in Wireless Networks

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Henri Giudici

Mitigating Human and Environmental Exposure to Transport Emissions via Data-Driven Approach

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Jingnan Zhang

AI-Driven Digital Twin for Plant Protein Structuring in Meat Analogs

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Jonatan Langlet

Comprehensive Network Insight for Resilient Infrastructures

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Liangliang Xiang

Data-Driven Gait Biomechanics for Precision Rehabilitation

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Malintha Fernando

Designing Interaction-Aware Heterogeneous Multi-Robot Systems

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Nooshin Nosrati

Lego Inspired accessible and automated design framework for demanding Edge AI Systems

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Pedro Ferreira

Statistical modelling to analyse spatial tumor evolution

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Romeo Lanzino

Continual Learning for Adaptive and Personalized AI in Healthcare

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