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Strong organizational abilities Computer proficiency and experience with basic software including MS office programs (e.g., Word, Excel, Powerpoint); ability to learn new software programs as needed
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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Science in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
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. Chan, “When edge meets learning: Adaptive control for resource- constrained distributed machine learning,” in IEEE INFOCOM 2018- IEEE conference on computer communications. IEEE, 2018, pp. 63– 71. [3] G
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision
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of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
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must be obtained prior to the start of employment. PREFERRED QUALIFICATIONS Experience with big data tools, ETL processes and machine learning programs or cloud platforms is preferred. COMMITMENT
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with such models. Experience with machine learning methods applied to biological data. Familiarity with large language model APIs and frameworks (e.g., Claude/Anthropic API, OpenAI API, LangChain