PRR Project

Summary

This position targets one Early Career Researcher (ECR) in “Multimodal machine learning in patient-centred health” with a strong background in Machine Learning and Artificial Intelligence and additional expertise in areas that can include but are not limited to language models, pattern mining, decision support systems, computer vision, information retrieval, data integration, signal processing and explainable artificial intelligence.The researcher will be expected to conduct innovative research in multimodal machine learning, with a focus on developing algorithms and models that can effectively analyse, integrate and learn from heterogeneous healthcare data (e.g., electronic health records, medical imaging, wearable sensors, omics data) to support patient-centred health. As such, the successful candidate should have a strong publication record in widely recognized journals and conferences, demonstrating expertise in the above-mentioned areas. Experience in healthcare applications will be highly valued, as the researcher will be required to establish and nurture collaborations with clinicians and healthcare providers to ensure that targeted research questions and available retrospective or to be collected prospective data are indeed relevant to patient-centred health and enable both scientific and societal impact. Experience in writing grant proposals to secure funding for future research initiatives will be much valued.Additionally, the researcher will be incentivized to engage with industry partners, healthcare organisations, patient associations and other stakeholders to promote technology transfer and facilitate the translation of research outcomes into real-world applications and products.  Should further be able to effectively present research findings in oral and written form and actively participate in international fora in the field, such as renowned conferences, high-tier workshops or thematic schools.The successful candidate will also be expected to mentor and supervise MSc and, eventually PhD students, in alignment with LASIGE’s core objectives of developing a scientific culture that promotes excellence, while maintaining a healthy research environment. Moreover, they will be responsible for teaching advanced courses in Machine Learning, Data Mining and Deep Learning. Previous teaching experience will be valued, in particular, experience in developing engaging materials to support practical courses and tutorials and providing opportunities for students from both the first and second cycles to engage with new scientific developments in these areas.