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prior experience doing so is not required. Additional beneficial but optional experience and skills include multi-level modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring
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, or evaluation Machine learning or NLP for classification, prediction, or multimodal data processing Experience with annotation tools, data pipelines, or AI-assisted labeling workflows Strong research
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or NLP for classification, prediction, or multimodal data processing Experience with annotation tools, data pipelines, or AI-assisted labeling workflows Strong research communication skills and a record of
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politics, using, among others: Econometrics, field and survey experiments, and quasi-experimental causal inference methods, Natural language processing (NLP), and Comparative case studies As part of the ERC
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-doctoral fellow in Artificial Intelligence - Large Language Models and BDI Systems. He/she will work under the supervision of the center's executive president. Your main tasks: Design, develop and apply NLP
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techniques—including vision-language architectures (e.g., CLIP, BLIP), fine-tuning large language models for clinical NLP, and self-supervised contrastive learning—the models will learn to effectively combine
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, BLIP), fine-tuning large language models for clinical NLP, and self-supervised contrastive learning—the models will learn to effectively combine visual and textual information. By developing
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well as familiarity with machine learning workflows, natural language processing (NLP), and text-as-data methods. We are especially interested in applicants who demonstrate a strong substantive interest in using
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having a doctoral degree in the discipline of psychology on the date of signing the contract of employment experience in working with natural language processing (NLP) and text mining techniques
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violence. Demonstrable research experience in hostile state interference, disinformation and conspiracy theories, radicalization, extremism, and/or terrorism. Experience working with or implementing NLP and