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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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Engineering at Aalto University, has an internationally leading reputation in basic and applied research for the development of advanced materials from natural resources. It is one of Europe’s leading research
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highly interdisciplinary project Interest in the topics of one of the two projects Bonus: Experience working with social media data, mental health, social networks, natural language processing, experiment
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interconnected research pillars drive innovation: Sustainable Natural Resource Utilization Microbial and Enzymatic Conversion Process Circularity Your personal sphere of play: We are excited to announce a
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English Ability to work independently and collaboratively in a research team Preferred Qualifications III-V laser epitaxy design and simulation experience Experience with III-V semiconductor processing and
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successful candidate will possess skills in natural language processing and deep learning. Experience of studying the robustness and generalisability of LLM would be beneficial. This is a full time post (35
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(generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender). Language & other skills
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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data