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Call for participation: Automatic Detection of Borrowings test set released (ADoBo 2025)
by ELENA ALVAREZ MELLADO 14 May '25

14 May '25

The test set for ADoBo 2025 shared task on automatic detection of borrowings in Spanish has been released and is now live on Codabench. https://www.codabench.org/competitions/7284/ To gain access to the data, make submissions and check the leaderboard please join the competition at Codabench. Systems submissions will be due on May 26th. Updates on the task will be announced on ADoBo website and Google group. https://adobo-task.github.io/ https://groups.google.com/g/adobo-task TIMELINE April 21: Dev set released.<https://www.codabench.org/competitions/7284/> May 12: Test set released<https://www.codabench.org/competitions/7284/>. May 26: Systems output submissions. June 9: Working notes paper submission. June 16: Notification of acceptance (peer-reviews). June 23: Camera ready paper submission. September: ADoBo results to be presented at IberLEF 2025. ORGANIZATION COMMITTEE Elena Álvarez-Mellado, Universidad Nacional de Educación a Distancia (UNED). Julio Gonzalo, Universidad Nacional de Educación a Distancia (UNED). Constantine Lignos, Brandeis University. Jordi Porta-Zamorano, Universidad Autónoma de Madrid (UAM). AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Oficina de Protección de datos<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://sede.uned.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

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ELLIS ESSIR 2025 – European Summer School on Information Retrieval
by Ingo Frommholz 14 May '25

14 May '25

Join us in Wolverhampton for a week of IR, AI, NLP, HCI and lots of discussion with experts in a friendly environment! ELLIS ESSIR 2025, the European Summer School on Information Retrieval, will take place July 7-11 in Wolverhampton, UK. https://2025.essir.eu/ The registration is open – https://2025.essir.eu/attending/registration Travel support is available – https://2025.essir.eu/attending/travel-support About the School The European Summer School on Information Retrieval (ESSIR) is held regularly, providing high-quality teaching of Information Retrieval (IR) and advanced IR topics to an audience of researchers and research students. The mission of the school is to enable students to learn about modern research challenges and methods on IR and related disciplines like AI and NLP; to stimulate scientific research and collaboration in these fields; and to grow a community of researchers, students, and industry professionals working on IR with collaborations all around the world. ELLIS ESSIR will offer a rich programme of high-profile and world leading lecturers in Information Retrieval, NLP and AI. Taught topics include: Introduction to Information Retrieval and Evaluation Generative AI and Information Retrieval Scholarly Document Processing and Retrieval UX and HCI with Information Retrieval Neural Re-ranking RAG and agentic IR Explainability in AI The Future Directions in Information Access (FDIA 2025) symposium will be held along ESSIR. More info later. Please visit https://2025.essir.eu/ for further information, travel support and registration. For additional enquiries, please contact essir-2025(a)googlegroups.com <mailto:essir-2025@googlegroups.com>. We are looking forward to welcoming you in Wolverhampton! -- Prof. Dr. Ingo Frommholz (he/him), PhD, Dipl.-Inform., FBCS, FHEA Professor of Applied Data Science, Modul University Vienna, Austria Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Bluesky: @ifromm.bsky.social | Mastodon: @ingo@idf.social

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CFP: The 26th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2025)
by vladana.perlic＠telecom-paris.fr 13 May '25

13 May '25

[Apologies for cross and multiple postings] ------------------------------------------------------------------------------------------------------------------- CALL FOR PAPERS The 26th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2025) Conference: 15th - 21st December 2025 Modena, Italy Conference website: https://conferences-website.github.io/prima2025 ------------------------------------------------------------------------------------------------------------------- IMPORTANT DATES Abstract Submission Deadline: 15 July (AoE, UTC-12) Paper Submission Deadline: 22 July (AoE, UTC-12) Paper Notification: 29 September 2025 (AoE, UTC-12) Camera Ready Submission: 13 October 2025 (AoE, UTC-12) ------------------------------------------------------------------------------------------------------------------- We invite you to submit your best work on agents and multi-agent systems to PRIMA 2025, the 26th International Conference on Principles and Practice of Multi-Agent Systems, to be held in Modena (Italy) in December 2025. Papers will be submitted through CMT at the link: https://cmt3.research.microsoft.com/PRIMA2025/Submission/Index ------------------------------------------------------------------------------------------------------------------- Awards To recognize outstanding contributions, PRIMA 2025 will have the following awards: Aditya Ghose Best Paper Award – €1000 prize Awarded to the best overall paper based on reviewers' scores and program committee discussions. Martin Purvis Student Best Paper Award – €500 prize Awarded to the best paper where the lead author is a student, based on the same evaluation criteria. ------------------------------------------------------------------------------------------------------------------- Scope and Background Software systems are rapidly becoming more intelligent in the functionality they offer to users. They are also becoming more decentralized, with components that act autonomously and must communicate among themselves or with human users to achieve their goals. Examples of such systems include those in healthcare, disaster management, e-business, and smart grids. A multi-agent perspective is crucial to the proper conceptualization, deployment, and governance of these systems. Rooted in solid computational and software engineering foundations, this perspective offers abstractions such as intelligent agents, protocols, norms, organizations, trust and incentives, among others. As a large, but still growing research field of artificial intelligence, multi-agent systems today remain a unique enabler of interdisciplinary research. ------------------------------------------------------------------------------------------------------------------- Areas of Interest The conference areas of interest include, but are not limited to: Logic and Reasoning Logics of Agency Logics of Multi-Agent Systems Logics of Belief and Knowledge Norms, Obligations, Deontic Logic Argumentation Logics and Game Theory Uncertainty in Agent Systems Agent and Multi-Agent Learning Reinforcement Learning Evolutionary approaches Machine Learning Problems in Multi-Agent Systems Agents Embodied with Large Language Models Engineering Multi-Agent Systems Agent-Oriented Software Engineering Interaction Protocols Formal Specification and Verification Agent Programming Languages Middleware and Platforms Testing, Debugging, and Evolution Deployed System Case Studies Agent-Based Modeling and Simulation Simulation Languages and Platforms Artificial Societies Virtual Environments Emergent Behavior Modeling System Dynamics Application Case Studies Collaboration & Coordination Multi-Agent Planning Distributed Problem Solving and Optimization Teamwork Coalition Formation Negotiation Trust and Reputation Commitments Institutions and Organizations Normative Systems Algorithmic Game Theory Auctions and Mechanism Design Bargaining and Negotiation Behavioral Game Theory Cooperative Games: Theory, Analysis, Computation Game Theory for Practical Applications Noncooperative Games: Theory, Analysis, Computation Computational Social Choice Voting Fair Division and Resource Allocation Matching under Preferences Coalition Formation Games Aggregation of Beliefs, Opinions, Judgments Ethics and Computational Social Choice Participatory Budgeting Facility Location Communication Issues in Social Choice, Distortion Behavioral Social Choice Human-Agent Interaction Adaptive Personal Assistants Embodied Conversational Agents Virtual Characters Multimodal User Interfaces Mobile Agents Human-Robot Interaction Affective Computing Decentralized Paradigms Cloud Computing Service-Oriented Computing Data spaces Big data Cybersecurity Robotics and Multirobot Systems Ubiquitous Computing Social Computing Internet of Things Edge Computing Blockchain Ethics and Social Issues Explainable Artificial Intelligence Ethics of AI Systems Multi-Agent Systems for Social Good Application Domains for Multi-Agent Systems Healthcare, Pandemics Management Autonomous Systems Transport and Logistics Emergency and Disaster Management Energy and Utilities Management Sustainability and Resource Management Games and Entertainment e-Business, e-Government, and e-Learning Smart Cities Financial markets Legal applications Crowdsourcing ------------------------------------------------------------------------------------------------------------------- Information for Authors PRIMA 2025 invites submissions of original, unpublished work strongly relevant to multi-agent systems. Apart from theoretical work, we encourage the submission of reports on the development of applications or prototypes of deployed agent systems, and of experiments that demonstrate novel agent system capabilities. In addition to this, we also encourage the submission of position papers that are of relevance to the multi-agent community. All submitted papers must be in a form suitable for double-blind review. Specifically, in order to make blind reviewing possible, authors must omit their names and affiliations from the paper. Also, while the references should include all published literature relevant to the paper, including previous work of the authors, it should not include unpublished works. When referring to one's own work, use the third person rather than the first person. For example, say "Previously, Foo and Bar [2] have shown that…", rather than "In our previous work [2], we have shown that…". Such identifying information can be added back to the final camera-ready version of accepted papers. All papers will be reviewed by at least 2-3 experts in the area following a detailed review form that will assess the paper based on the significance and novelty of the idea, the technical description of the proposal, clarity and organization, the evaluation methodology, and any ethical considerations. All accepted papers will be published in Springer's Lecture Notes in Artificial Intelligence series (LNCS/LNAI). All papers must be submitted using the Springer LNCS/LNAI format. Type of submissions: Full papers, 16 pages plus references Short papers, 4 pages plus references Position papers, 2 pages plus references Kind regards, General Chairs: Angelo Ferrando, University of Modena and Reggio Emilia (Italy) Vadim Malvone, Télécom Paris (France) Program Chairs: Federico Bergenti, University of Parma (Italy) Catalin Dima, Université Paris-Est Créteil (France)

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First CfP: Interdisciplinary Workshop on Observations of Misunderstood, Misguided and Malicious Use of Language Models (OMMM 2025)
by Piotr Przybyła 13 May '25

13 May '25

We are pleased to invite submissions for the first Interdisciplinary Workshop on Observations of Misunderstood, Misguided and Malicious Use of Language Models (OMMM 2025). The workshop will be held with the RANLP 2025 conference in Varna, Bulgaria, on 11-13 September 2025. *Overview* The use of Large Language Models (LLMs) pervades scientific practices in multiple disciplines beyond the NLP/AI communities. Alongside benefits for productivity and discovery, widespread use often entails misuse due to misalignment of values, lack of knowledge, or, more rarely, malice. LLM misuse has the potential to cause real harm in a variety of settings. Through this workshop, we aim to gather researchers interested in identifying and mitigating inappropriate and harmful uses of LLMs. These include misunderstood usage (e.g., misrepresentation of LLMs in the scientific literature); misguided usage (e.g., deployment of LLMs without adequate training or privacy safeguards); and malicious usage (e.g., generation of misinformation and plagiarism). Sample topics are listed below, but we welcome submissions on any domain related to the scope of the workshop. *Important Dates* Submission deadline: 6 July 2025, at 23:59 Anywhere on Earth Notification of acceptance: 31 July 2025 Camera-ready papers due: 20 August 2025 Workshop dates: September 11, 12, or 13, 2025 *Submission Guidelines* Submissions will be accepted as short papers (4 pages) and as long papers (8 pages), plus additional pages for references. All submissions undergo a double-blind review, so they should not include any identifying information. Submissions should conform to the RANLP guidelines; for further information and templates, please see https://ranlp.org/ranlp2025/index.php/submissions/ We welcome submissions from diverse disciplines, including NLP and AI, psychology, HCI, and philosophy. We particularly encourage reports on negative results that provide interesting perspectives on relevant topics. In-person presenters will be prioritised when selecting submissions to be presented at the workshop, but the workshop will take place in a hybrid format. Accepted papers will be included in the workshop proceedings in the ACL Anthology. Papers should be submitted on the RANLP conference system at https://softconf.com/ranlp25/OMMM2025/ *Keynote Speaker* We are excited to have Dr. Stefania Druga as the keynote speaker for the inaugural OMMM workshop. Dr. Druga is a Research Scientist at Google DeepMind, where she designs novel multimodal AI applications. *Topics of Interest* We welcome paper submissions on all topics related to inappropriate and harmful uses of LLMs, including but not limited to: - Misunderstood use (and how to improve understanding): - Misrepresentation of LLMs (e.g., anthropomorphic language) - Attribution of consciousness - Interpretability - Overreliance on LLMs - Misguided use (and how to find alternatives): - Underperformance and inappropriate applications - Structural limitations and ethical considerations - Deployment without proper training or safeguards - Malicious use (and how to mitigate it): - Adversarial attacks, jailbreaking - Detection and watermarking of machine-generated content - Generation of misinformation or plagiarism - Bias mitigation and trust design For more information, please refer to the workshop website: https://ommm-workshop.github.io/2025/. For any questions, please contact the organisers at ommm-workshop(a)googlegroups.com. The organisers, Piotr Przybyła, Universitat Pompeu Fabra Matthew Shardlow, Manchester Metropolitan University Clara Colombatto, University of Waterloo Nanna Inie, IT University of Copenhagen

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3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
by Pascal Denis 13 May '25

13 May '25

Hello, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- 3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France) We invite applications for a 3-year PhD position at the University of Lille in the context of the recently funded research project "COMANCHE" (Computational Models of Lexical Meaning and Change). The position is funded by Inria, the French national research institute in Computer Science and Applied Mathematics. COMANCHE proposes to transfer and adapt neural word embeddings algorithms to model the acquisition and evolution of word meaning, by comparing them with linguistic theories on language acquisition and language evolution. At the intersection between Natural Language Processing, psycholinguistics and historical linguistics, this project intends to validate or revise some of these theories, while also developing computational models that are less data hungry and computationally intensive as they exploit new inductive biases inspired by these disciplines. The first strand of the project, on which the successful candidate will work, focuses on the development of computational models of semantic memory and its acquisition. Two main research directions will be pursued. On the one hand, we will compare the structural properties associated to different semantic spaces derived from word embedding algorithms to those found in human semantic memory as reflected in behavioral data (such as typicality norms) as well as brain imaging data. The latter data will then used as additional supervision to inject more hierarchical structure into the learned semantic spaces. One the other hand, we intend to experiment with training regimes for word embedding algorithms that are closer to those of humans when they acquire language, controlling the quantity as well as the linguistic complexity of the inputs fed to the learning algorithms through the use of longitudinal and child directed speech corpora (e.g., CHILDES, Colaje). In both cases, both English and French data will be considered. The successful candidate holds a Master's degree in computational linguistics or computer science or cognitive science and has prior experience in word embedding models. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work across languages. The position is affiliated with the MAGNET team at Inria, Lille [1] as well as with the SCALAB group at University of Lille [2] in an effort to strenghten collaborations between these two groups, and ultimately foster cross-fertilizations between Natural Language Processing and Psycholinguistics. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Angèle Brunellière (angele.brunelliere(a)univ-lille.fr) and Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 October 2022 or soon thereafter, for a total of 3 full years. Best regards, Angèle Brunellière and Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://scalab.univ-lille.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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Call for papers: Computational Forensic Linguistics: Law, Language and Evidence in the Virtual Worlds
by Rui Sousa Silva 12 May '25

12 May '25

***APOLOGIES FOR CROSS-POSTINGS — PLEASE FEEL FREE TO CIRCULATE*** CALL FOR PAPERS - INTERNATIONAL JOURNAL FOR THE SEMIOTICS OF LAW SPECIAL ISSUE: Computational Forensic Linguistics: Law, Language and Evidence in the Virtual Worlds Volume 39 (2026) Guest Editor – Rui Sousa-Silva (University of Porto – Faculty of Arts and Humanities & Centre for Linguistics of the University of Porto) Forensic linguistics, the branch of linguistics applied to forensic contexts, is inherently multidisciplinary, although it predominantly stands at the intersection of language and the law. Despite its status as a young discipline, forensic linguistics is wide in scope, and has significantly contributed to a fair and just administration of Justice, especially since the late 1990s, across its three different areas: the written language of the law, interaction in legal contexts, and language as evidence (May, Sousa-Silva & Coulthard, ‘Introduction’, The Routledge Handbook of Forensic Linguistics, Routledge, 2021). The discipline is thus profoundly semiotic in nature, and has a significant impact on how law is interpreted and administered, and on how investigative processes are conducted. However, as a young discipline, it still faces methodological and technical challenges. Forensic linguistics is often questioned as a science, for instance owing to the fact that forensic linguists can hardly, if ever, establish the known error rate, which is often demanded to meet the legal requirements (e.g., Daubert criteria) in some jurisdictions. It is also frequently distrusted as a science, and particularly as a forensic science, on the grounds that it is subjective. Furthermore, the perception that anyone – and hence legal professionals, including judges and counsellors – can “understand” the semiotics of language use and analyse language has often led the courts into believing that forensic linguists are dispensable. To counter these misconceptions about the field, forensic linguists have constantly researched and devised new methods, including statistical and computational approaches, to counter the “subjectivity effect”. Computational approaches, specifically, will play a core role in forensic linguistics: they not only allow forensic linguists to analyse large amounts of data quickly and systematically, but also enable the reproducibility of the forensic linguistic analysis, which can be essential in forensic sciences. This will be especially the case in the near future, with progress in the metaverse, as the seamless interaction between users via technology-mediated communication in the virtual worlds will raise even more issues that can only be resolved with the assistance of rigorous and transparent forensic linguistic analyses. Computational forensic linguistics, thus understood as the use of efficient and effective computational linguistics tools, methods and techniques in forensic contexts, will thus play an increasingly core role in forensic linguistics across the areas of written language of the law, interaction in legal contexts and, especially, language as evidence. Original proposals that explore the relationship between the semiotics of law and one or more computational approaches to forensic linguistics are thus invited for the special issue “Computational Forensic Linguistics: Law, Language, Evidence and Rigour in the Virtual Worlds”. Submissions may range from (but not limited to) systems to help the courts interpret and draft just and fair decisions to software and tools to assist law enforcement agencies in the fight against crime, including platforms to support the investigation in the collection and analysis of evidence. Manuscripts should establish a clear connection between the semiotics of law, computational approaches and forensic linguistics/language and the law. Submissions should be addressed to: Rui Sousa-Silva (rssilva(a)letras.up.pt). - Abstracts of 300 words (maximum) by 15 May 2025. - After selection, final papers (15,000 words maximum, including endnotes and references) should be submitted by 15 November 2025. Further information: https://link.springer.com/collections/ebcefecdcf Rui Sousa Silva Faculdade de Letras, Universidade do Porto Faculty of Arts and Humanities, University of Porto www.linguisticaforense.pt | https://s.up.pt/qjur | http://tinyurl.com/37w2ec6x Publicação mais recente / Latest publication: ‘We Attempted to Deliver Your Package’: Forensic Translation in the Fight Against Cross-Border Cybercrime AVISO DE CONFIDENCIALIDADE: Esta mensagem e os seus anexos são confidenciais e dirigidos unicamente aos destinatários da mesma. Se não for o destinatário, solicito que não faça qualquer uso do seu conteúdo e proceda à sua eliminação, notificando-me do sucedido. Obrigado. // CONFIDENTIALITY WARNING: This message and its attachments are confidential and exclusively addressed to the recipients above. Should you not be one of the recipients, I kindly ask you not to make use of its contents and delete the message and its attachments. Please reply to this e-mail to warn me about this incident. Thank you.

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[Jobs] Assistant Professorship with Tenure Track at TU Wien (Deadline May 22, 2025)
by Pia Pachinger 12 May '25

12 May '25

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Job: Tenure-Track Assistant Professor of Natural Language Processing at the TU Wien and Complexity Science Hub in Vienna, Austria
by Allan Hanbury 12 May '25

12 May '25

The application deadline is approaching! Tenure-track assistant professor of Natural Language Processing, jointly atthe TU Wien Faculty of Informaticsand theComplexity Science Hubin Vienna, Austria. Details and application: https://jobs.tuwien.ac.at/Job/248962 Application Deadline: 22nd May 2025 A great opportunity to do basic research and work on interesting problems and data from government administration and industry. The working language at both the TU Wien Faculty of Informatics and the Complexity Science Hub is English. Complexity Science Hub - https://csh.ac.at/ Data Science Research Unit, TU Wien - https://informatics.tuwien.ac.at/orgs/e194-04 Living in Vienna - https://informatics.tuwien.ac.at/living-in-vienna/ -- Allan Hanbury Professor of Data Intelligence Head of the Data Science Research Unit, Institute of Information Systems Engineering Faculty Representative for Financial Affairs and Internationalization, Faculty of Informatics TU Wien (Vienna University of Technology) Favoritenstrasse 9-11/194-04 1040 Vienna, Austria +43 1 58801 188310

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Post-doc position in computational linguistics at Univ. Lorraine (France)
by Mathieu Constant 11 May '25

11 May '25

The Research unit ATILF (Computer Processing and Analysis of the French Language) offers a postdoctoral position in computational linguistics. Topic: multiword expressions in large language models Location: ATILF, Nancy, France (Univ. Lorraine and CNRS) Starting date: September 2025 Duration: 12 months (possibility to extend the duration for one more year) Supervisors: Mathieu Constant (Univ. Lorraine, France) and Patrick Watrin (UC Louvain, Belgium) Salary: depends on experience and salary grids (from 3000 to 4200 euros before tax) Application deadline: June 1st, 2025 Subject. The term « multiword expression » (MWE) refers to a combination of multiple lexical items that displays irregular composition possibly on different linguistic levels (morphology, syntax, semantics, …). They include a large variety of phenomena such as idioms (run around in circles), support verb constructions (take a walk), nominal compounds (dry run), complex function units (in spite of). They have been the subject of extensive research work in the NLP community over the last 50 years. The goal of this post-doc position is to investigate to what extent large language models encode multiword expressions and their various levels of idiomaticity and fixedness. In particular, the hired post-doc will develop methods to extract linguistic features about multiword expressions in context from large language models. The methods will be experimented on French and will be used to provide aids for French L2 learners when reading MWE occurrences in authentic texts. Context. The position is part of the STAR-FLE project (STrategic Adaptations for better Reading and Text Comprehension in FFL, https://www.starfle.fr/en <https://www.starfle.fr/en>, 2024-2027) funded by the French National Research Agency (ANR). The project aims to propose innovative digital solutions in the area of Natural Language Processing (NLP) that may improve text comprehension for French L2 learners and assist teachers in managing multiple levels of learners. In particular, it will propose context-based aids for understanding lexical issues as well as MWEs found in authentic texts. The hired researcher will be fully integrated in the project team. Requirements. Applicants should hold a PhD thesis n natural language processing, in computational linguistics, in computer science, or in applied mathematics, . The hired post-doc researcher should have the following skills: * expertise in deep learning for NLP and notably large language models * excellent programming skills * Good linguistic skills * good knowledge of French would be a plus * team spirit Application. The applicants should submit a coverage letter, a CV including their publications, a list of references for recommandation, on the following official web site: https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-022/Default.aspx?lang=EN <https://emploi.cnrs.fr/Offres/CDD/UMR7118-SABMAR-022/Default.aspx?lang=EN>. The applications should be sent not later than June 1st, 2025. For more information, contact Mathieu Constant (Mathieu.Constant(a)univ-lorraine.fr <mailto:Mathieu.Constant@univ-lorraine.fr>)

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Remote AI Research Internship in India – Apply Now!
by HR Team 11 May '25

11 May '25

Hello Everyone, 🎯 Join us for an exciting 6-month remote internship @ CortexTor Labs (https://cortextor.com/), where you’ll work on innovative projects at the forefront of AI. CortexTor Labs is an agile startup, focused on building adaptive AI-driven systems that address real-world challenges through innovation and rapid iteration. As an intern, you’ll explore a range of impactful topics, including: 1) Text-to-Image and Video Generation 2) Visual Storytelling 3) Talking Face Generation 4) Prompt-Based Media Generation and Editing 5) Open-Vocabulary Detection and Segmentation 6) Multimodal Logical and Mathematical Reasoning 7) Video Summarization 8) Multimodal RAG-based QA Chatbot 9) Multimodal Knowledge Graph 10) Knowledge distillation (Teacher-Student Models) 💰 Paid Internship Track (For B.Tech & M.Tech Students – Full Project Involvement) - The first 3 months are unpaid, focusing on onboarding, training, and initial contributions. - The next 3 months offer a stipend of ₹12,400/month, aligned with M.Tech internship standards. - Top performers may receive up to ₹15,000–₹20,000/month. - After 6 months, high-performing interns may be offered a full-time position. 📚 Unpaid Research Track (For PhD Scholars & Research-Focused B.Tech/M.Tech Students) - This is a remote, unpaid internship focused entirely on academic research and publication in the above-mentioned cutting-edge AI topics. - Open to: - PhD scholars interested in publishing in advanced AI domains - B.Tech and M.Tech students who want to focus solely on research and co-authoring papers, without project or stipend commitments - Ideal for individuals seeking to build a strong publication record, collaborate with researchers, and deepen expertise in cutting-edge AI topics. If you're interested in this internship and would like to learn more, please fill out the Google Form, which includes a detailed description of the internship. Google form: https://forms.gle/YkH3uo4wjUgiRLYh9 Thank you. Regards, HR Manager CortexTor Labs, India Email: hr(a)cortextor.com https://cortextor.com/

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