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- AALTO UNIVERSITY
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out research activities in the field of sensors, electronic circuits, and MEMS (MicroElectroMechanical Systems), with particular emphasis on the development of innovative, sustainable, and low-energy
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integrated electrodes. Cell co-culture. Biomolecular characterization. Permeability assays. Epifluorescence and confocal microscopy analysis and image processing. Data acquisition and processing. Sensors and
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be an integral member of the wearables group based at Oxford, led by Aiden Doherty. Our research team has access to world-leading population health data sets with objective wearable sensor measurements
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· Analyze and characterize heat generation in sodium-ion, and potentially lithium-ion, batteries using the various calorimetric techniques available in our laboratory (heat flux sensors, isothermal
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mHealth systems integrating smartphones and wireless sensors with signal processing algorithms and artificial intelligence (AI) models for unobtrusive sleep apnea detection, multi-night monitoring
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satellites and space payloads. The laboratory features an advanced electronics development environment equipped for precision soldering, calibration, functional testing, and sensor characterization. A
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involved, ability to work in the field, including extended walking and carrying of heavy loads Process-oriented thinking and hydrological process understanding Interest in sensor development Excellent
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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
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focusing on elucidating neural (e.g., EEG/ERPs, MRI), behavioral, and real-time markers (e.g., passive sensor data, EMA) of depression and suicidal behaviors in adolescents. The positions are full-time
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the integration of wearable and mobile technologies into clinical research workflows, human-centered design of healthcare software, and the collection, management, and analysis of health data from sensor-based and