Dimitris Kotzinos

CY Cergy Paris Université is offering a fully funded 18-month full-time postdoctoral researcher position in the ETIS lab in Cergy-Pontoise, near Paris, France. The project focuses on developing AI and Big Data techniques for building, querying, and analysing argumentation models from textual resources. The research combines machine learning, artificial intelligence, text analytics, opinion mining, and social/network analysis to construct semantic argumentation graphs. These graphs are intended to capture how arguments evolve over time, which actors are involved, and whether contributions are in favour or against a subject. The work is positioned at the intersection of computer science, data science, and argumentation modelling, with possible applications to public discussions on climate change, environmental issues, epidemics, and vaccinations. The postdoc will work within the ETIS lab and collaborate with researchers in the UNKNOWNPATH project, funded by the CY Initiative of Excellence. The successful candidate will be supervised by Professor Dimitris Kotzinos. Applicants should hold, or be close to completing, a PhD in computer science, big data, machine learning, data science, or a related area. Experience in applied computer science project development is expected, and familiarity with big data analytics tools such as R, Python, Java, or cloud environments is considered an advantage. The working language is English. This is a temporary, full-time research position based in Cergy-Pontoise, France. The deadline indicated is 30 August 2026 at 23:59 Paris time, with applications submitted earlier considered in priority. To apply, candidates should email a PDF application package including a CV, transcripts, thesis and/or papers, references, and a motivation letter to [email protected].

CY Cergy Paris Université is advertising a postdoctoral researcher position in local AI / machine learning for offline environments , with a strong application to archaeology and cultural heritage documentation. The post is hosted by ETIS Lab (UMR 8051) in Pontoise, in the Cergy-Pontoise area near Paris, and is part of two closely connected Horizon Europe projects: ECHOES and StratiGraph . The role sits at the intersection of computer science , machine learning , knowledge graphs , and digital heritage . The research challenge is to develop robust on-device and offline-first AI methods that can work in the field on limited hardware such as laptops, tablets, and embedded devices. The successful candidate will investigate model compression, quantization, pruning, knowledge distillation, few-shot learning, semi/self-supervised learning, domain generalization, domain adaptation, out-of-distribution detection, uncertainty quantification, and intermittent federated learning. A further key direction is knowledge-graph-aware learning, coupling neural models with symbolic constraints and controlled vocabularies to support archaeological documentation workflows. The projects aim to build tools for validate-as-you-collect field documentation, with real-time AI support for photographs, 3D models, stratigraphic units, and textual records. The work is explicitly oriented toward archaeological field use, including offline processing and later synchronization to the cloud when connectivity returns. Case studies mentioned include Sarmizegetusa Regia in Romania, the Basilica Iulia in Rome, and St. John Lampadistis Monastery in Cyprus. The appointment is for 12 months , with the possibility of extension, and the salary follows the CY Cergy Paris Université salary scale, commensurate with experience. The position is funded through Horizon Europe projects. The start date is as soon as possible , and the application deadline is 30 August 2026 . Applications are reviewed on a rolling basis. Eligibility requirements include a PhD in Computer Science or a closely related field obtained before the start date, a strong background in one or more relevant ML areas, solid programming and engineering skills, and a publication record in recognized international venues. Knowledge of RDF , SPARQL , and CIDOC-CRM is advantageous, as is experience with constrained hardware or mobile/desktop deployment. Excellent English is required; French is not required. The researcher will collaborate with archaeologists, heritage scientists, and computer scientists across Europe and will be expected to contribute to project deliverables, publish in leading venues, and support PhD and MSc students.

Postdoctoral Researcher (M/F): Distributed Machine Learning over Distributed Knowledge Graphs at CY Cergy Paris Université , hosted in the ETIS Lab (UMR 8051) in Pontoise, France, in the Cergy-Pontoise area near Paris. This postdoctoral position is part of ECHOES – European Cloud for Heritage OpEn Science , a Horizon Europe project (GA n° 101157364) contributing to the European Collaborative Cloud for Cultural Heritage (ECCCH). The project focuses on building a shared, distributed, and federated digital platform for cultural heritage professionals and researchers, with knowledge graph technologies at its core. The research environment combines machine learning, data management, and Semantic Web technologies, with strong links to European heritage infrastructures and open science initiatives. The successful candidate will investigate distributed machine learning over distributed and federated knowledge graphs . Topics include federated graph representation learning, knowledge graph embeddings, relational graph neural networks, learning under statistical and semantic heterogeneity, ontology and schema alignment, entity resolution and entity alignment, link prediction, knowledge graph completion, communication-efficient optimisation, privacy-aware protocols, federated SPARQL query processing, distributed graph partitioning, and scalable analytics over evolving knowledge graphs. The work is expected to lead to novel scientific contributions as well as concrete components for the ECHOES ecosystem, with prototypes integrated into the ECCCH technical backbone and released as open source. The position is supervised by Professor Dimitris Kotzinos and involves collaboration with European partners across the ECHOES consortium. The researcher is expected to publish in leading venues such as NeurIPS, ICML, ICLR, KDD, WWW, ISWC, ESWC, VLDB, and EDBT, contribute to project deliverables, and participate in the supervision of PhD and MSc students working on related topics. Eligibility and profile: a PhD in Computer Science or a closely related field is required before the start date. Strong experience in at least one of graph machine learning, federated/distributed learning, knowledge graphs and Semantic Web technologies, or distributed data management is expected. Applicants should have solid Python programming skills and familiarity with PyTorch, PyTorch Geometric, DGL, or similar tools; experience with triple stores or graph databases is an advantage. A record of publications in recognised international venues is required, along with strong English skills. French is not required. Funding and contract: the appointment is a 12-month temporary full-time postdoctoral contract, extensible, with salary according to the CY Cergy Paris Université salary scale and commensurate with experience. The position is funded through Horizon Europe as part of the ECHOES project. Application deadline: 30 August 2026 at 23:59 (Europe/Paris). Applications are reviewed on a rolling basis and the position starts as soon as possible. How to apply: send an e-mail application to [email protected] with the subject line “ECHOES Postdoc Application – [Your Name]”. Include a detailed CV with publications, a cover letter, contact details of two or three referees, and a copy of your PhD certificate or expected defence date. Up to three representative publications may also be included.