Top Tech Jobs & Startup Jobs

Conduct research on carbon-aware, resource-efficient AI for edge datacentres by developing hardware-aware multi-objective neural architecture search across CPUs, GPUs and accelerators; deliver a NAS framework producing Pareto-optimal model libraries, publish results, participate in teaching, industrial secondments, and collaborate with academic and industry partners.

PhD research on reliable, sustainable, and self-adaptive AI for embedded, edge, and distributed systems. Develop models and runtime mechanisms to characterize and control uncertainty, build prototypes on resource-constrained devices, experimentally validate solutions, publish results, and contribute to teaching and collaboration with academic and industry partners.

Carry out a 3-year PhD developing a multi-fidelity framework for diagnosis and prognosis of fatigue in steel structures. Work includes multi-fidelity FEM, virtual sensing for load/stress estimation, fracture mechanics for crack initiation/growth and remaining life prediction, exploring fatigue mitigation, publishing results, presenting at conferences, teaching support, and co-supervising student projects.

Conduct research on reliable, sustainable, and self-adaptive AI for embedded, edge, and distributed systems. Develop models and runtime mechanisms for uncertainty, reliability, and resource management. Build prototypes on embedded and edge platforms, publish results, and supervise MSc/PhD students while collaborating with academic and industry partners.

Perform experimental aeroacoustics development for wind turbines: plan and run wind tunnel and full-scale tests, develop and validate microphone-array acoustic measurement techniques (beamforming, deconvolution), analyse signals, maintain and develop measurement setups, and collaborate with national and international industry partners.

Fully funded 3-year PhD to develop causal-informed ML methods for multi-seasonal Arctic sea-ice prediction using datasets (CMIP6, ERA5, CARRA2), collaborating with meteorological institutes, implementing models in Python on HPC and producing probabilistic forecasts for 2030–2050.

Two postdoctoral researchers will develop AI-based perception and autonomous navigation for agricultural robots, focusing on multi-modal 3D scene understanding, sensor fusion, embodied AI, and robust field perception. Tasks include implementing real-time algorithms on edge devices, publishing in top venues, mentoring students, and validating systems in field experiments.

Establish lab infrastructure and human-experiment workflows, design and prototype wireless embedded systems for high-density EMG, implement data acquisition and processing pipelines, integrate firmware/hardware/software, validate systems in human experiments, and produce documentation and training materials.