The Machine Learning and Knowledge Discovery Group of INESC-ID is looking for qualified applicants for three fully funded PhD student positions on topics related with the application of deep learning techniques to problems with societal impact. These positions are funded by a large-scale research project in responsible AI, supported by the Resiliency and Recovery Facility. The successful candidates will pursue a PhD degree in Computer Science and Engineering at Instituto Superior Técnico, in Lisbon Portugal. The broad topics of research are: 1 - Normalization of geolocation records using deep learning techniques, 2 - High confidence information retrieval and question answering, 3 - Application of reinforcement learning methods to the generation of efficient algorithms.

The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2024. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: Natural language processing and computational linguistics, Machine Translation, Speech technology, Dialogue, multimodal interaction, language and vision, Computational Cognitive Science, including language and speech, decision-making, learning and generalization, Social Media and Computational Social Science, Human-Computer interaction, design informatics, assistive and educational technology, Information retrieval and visualization. Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 19,162 (2024/25 rates) per year and tuition fees. Awards increase every year, typically with inflation. Studentships are available for UK, EU, and non-EU nationals.

The University of Wisconsin-Madison's Information School seeks highly qualified candidates for up to two tenured positions in information sciences. These faculty positions will be academic nine-month, tenure-track appointments at the Associate Professor level, to start August 2024. Applications at the Professor level may be considered in exceptional cases. Applications are specifically encouraged in, but not limited to, the following areas: Natural language processing and information retrieval, e.g., applied natural language processing, text analysis, text and multimedia retrieval, recommendation systems, conversational systems. Computational social sciences, e.g., analytics and modeling of political behavior; computational analysis of social networks; algorithms and social media analytics; social simulation of organizational behavior. Policy analysis or policy-making studies of information or data security/risk/assurance, privacy, data governance, or data management. ML/AI, computation, and the future of work. Computational and information technologies in relation to children and/or elderly populations.

The centre of memory is the medial temporal lobe (MTL) and especially the hippocampus. In our research, a more flexible brain-inspired computational microcircuit of the CA1 region of the mammalian hippocampus was upgraded and used to examine how information retrieval could be affected under different conditions. Six models (1-6) were created by modulating different excitatory and inhibitory pathways. The results showed that the increase in the strength of the feedforward excitation was the most effective way to recall memories. In other words, that allows the system to access stored memories more accurately.