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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in
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-frequency sensing and data transfer (ISAC) are integrated into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging
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visualization workflows (generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender
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specifically developing and applying new technologies (e.g. mixed reality, movement- and biosensing, remote cognitive testing, mobile EEG) for studying neurodevelopmental disorders (e.g. ADHD, autism, learning
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of Advanced Mathematics for Sensing, Imaging and Modelling (2024–2031). The group is also supported by a Research Council of Finland Fellowship under the project SPARSe (2025–2029), further strengthening its
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use Finland-wide remote sensing resources from one of the consortium members, Finnish Geospatial Research Institute to monitor tree growth in Finland and combine this information with whole genome
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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biology, biomolecular, and biohybrid materials. Requirements Recently obtained PhD (within five years) in biotechnology, molecular biology, biochemistry, or a related field. The candidate should have sound
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PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral Researcher’s position, the appointee is expected to have
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communication and collaboration. Finnish language is not required. Other requirements: PhD degree in Physics with excellent academic track records. Experience in biological, fluid, or soft matter physics research