June 2023 - Corpora - ELRA lists

* Extended deadline * Doctoral Consortium, ACM International Conference on Multimodal Interaction (ICMI2023)
by Gualtiero Volpe 19 Jun '23

19 Jun '23

======================================================== * Deadline extended to 25 June 2023 * ======================================================== ACM ICMI 2023 CALL FOR DOCTORAL CONSORTIUM CONTRIBUTIONS 9-13 October 2023, Paris - France https://icmi.acm.org/2023/doctoral-consortium/ ======================================================== The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces. Who should apply? ----------------- While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. Why should you attend? ---------------------- The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research. We specifically aim to create an informal setting where students feel supported in their professional development. Important Dates --------------- Submission deadline June 25, 2023 *** EXTENDED *** Notifications July 24, 2023 Camera-ready August 6, 2023 Submission Guidelines --------------------- Graduate students pursuing a PhD degree in a field related to ICMI are eligible to apply for the Doctoral Consortium (DC) and should submit the following materials: 1. Extended Abstract: A description of the PhD research plan and progress. Extended abstracts can be a maximum of four pages, although references can extend to a fifth page if needed. They should follow the same outline, details, and format of the ICMI Short Papers (https://icmi.acm.org/2023/guidelines-for-authors/). However, unlike short papers, DC submissions will not be anonymous. Be sure to include: * The key research questions and motivation of the student’s research * Background and related work that informs the student’s research * A statement of hypotheses or a description of the scope of the technical problem * The research plan, outlining stages of system development or series of studies * The research approach and methodology * Research results to date (if any) and a description of remaining work * A statement of research contributions to date (if any) and expected contributions of the PhD work 2. Advisor Letter: A one-page letter of nomination from the student’s PhD advisor, which should focus on the student’s PhD plan and how the Doctoral Consortium event might contribute to the student’s PhD training and research. 3. Curriculum Vitae: A two-page CV describing the student’s background and work. All materials should be prepared in PDF format and submitted through the ICMI submission system. Process ------- * Submission format: Four-page extended abstract using the ACM format (https://icmi.acm.org/2023/guidelines-for-authors/) * Submission system: Precision Conference System (https://new.precisionconference.com/submissions/icmi23a) * Selection process: Peer-Reviewed * Presentation format: Talk on consortium day and participation in the conference poster session * Proceedings: Extended abstracts published in conference proceedings and ACM Digital Library

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Second CFP (WANLP2023): The 1st Arabic Natural Language Processing Conference
by Salam Khalifa 19 Jun '23

19 Jun '23

*** Apologies for Cross-Posting *** The First Arabic Natural Language Processing Conference (WANLP 2023) co-located with EMNLP 2023 in Singapore. Conference URL: <https://wanlp2023.sigarab.org/> https://wanlp2023.sigarab.org/ Submission URL: TBD WANLP 2023 invites the submission of original long, short, or demo papers in the area of Arabic Natural Language Processing.WANLP 2023 builds on seven previous workshop editions, which have been extremely successful drawing in a large active participation in various capacities. This conference is timely given the continued rise in research projects focusing on Arabic NLP. WANLP 2023 will also feature shared tasks, allowing participants to work on specific NLP challenges related to Arabic language processing. The conference is organized by the Special Interest Group on Arabic NLP (SIGARAB), an Association for Computational Linguistics Special Interest Group on Arabic Natural Language Processing. Important Dates - May 7, 2023: submission of shared tasks proposals - May 14, 2023: notification of acceptance of shared tasks - September 5, 2023: conference & shared task papers due date - October 12, 2023: notification of acceptance - October 20, 2023: camera-ready papers due - December 7, 2023: conference day All deadlines are 11:59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on Earth”). We accept long (up to 8 pages), short (up to 4 pages), and demo paper (up to 4 pages) submissions. Long and short papers will be presented orally or as posters as determined by the program committee. Submissions are invited on topics that include, but are not limited to, the following: - Enabling core technologies: language models and large language models, morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. - Applications: dialog modeling, machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media, etc. - Resources: dictionaries, annotated data, corpora, etc. Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to the Arabic language, whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided they propose techniques or approaches that would interest Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. If you have any questions, don't hesitate to get in touch with us at: <https://groups.google.com/u/1/>wanlp-pc-chairs(a)sigarab.org The WANLP 2023 Publicity Chairs, Salam Khalifa and Amr Keleg -- Salam Khalifa PhD Student at Stony Brook Linguistics <https://www.linguistics.stonybrook.edu/>.

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19th IEEE eScience Conference (eScience 2023): Combo Call for Workshop Papers
by georgeangelos60＠gmail.com 19 Jun '23

19 Jun '23

*** Combo Call for Workshop Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023. eScience 2023 will host a number of workshops which will be co-located with the main conference on Monday, October 9 and Tuesday, October 10, 2023. The eScience conference has a long history of hosting well-attended workshops. These workshops share the goal of bringing together international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. Workshops play a crucial role in the conference by providing an opportunity for researchers and practitioners to present their work in a more focused way than the conference itself and to have in-depth discussions of particular topics of interest to the community. eScience 2023 will host the following workshops: ● 1st Workshop on cItizeN Science engagemenT based on Ict soLutions (INSTIL 2023) http://www.instil-science.eu ● 3rd Workshop on E-science ReseaRch leading tO negative Results (ERROR 2023) https://error-workshop.org ● 3rd Workshop on Reproducible Workflows, Data Management, and Security (ReWorDS 2023) https://sites.google.com/vols.utk.edu/rewords23/home ● 4th Global Research Platform (4GRP) Workshop https://www.theglobalresearchplatform.net ● IEEE International Workshop on Artificial Intelligence for Health (AI4Health 2023) https://www.ai4health.icar.cnr.it ● Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience (RSE-eScience-2023) https://us-rse.org/rse-escience-2023/ KEY DATES ● Workshop papers submission deadline: Defined per workshop, not before end June 2023 ● Notification of acceptance: Defined per workshop ● IEEE proceedings camera ready: July 21, 2023 ● Workshop days: October 9-10, 2023 Deadlines refer to 23:59 in the AoE (Anywhere on Earth) time zone. ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee

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PhD Position in Natural Language Processing
by Marco Kuhlmann 19 Jun '23

19 Jun '23

The Natural Language Processing Group at Linköping University has an opening for a PhD Student in Natural Language Processing The research for this position will be within the project ‘Efficient Modularisation and Adaptation of Large Language Models’, which aims to develop methods for dissecting large language models into functional modules that can be trained and updated independently and applied in settings where training data is relatively scarce. The position is fully funded for 4 years. It may be extended up to a maximum of 5 years, based on the extent of teaching and other departmental duties the candidate has participated in. The closing date is 2023-08-15. For more information about the project and the position, please visit https://www.ida.liu.se/divisions/aiics/nlp/phd-student.html Please do not hesitate to contact me for any further questions. Best regards Marco Kuhlmann Professor Department of Computer and Information Science Linköping University

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2nd Workshop on Perspectivist Approaches to Disagreement in NLP: DEADLINE EXTENSION! June 30th
by Simona Frenda 18 Jun '23

18 Jun '23

2nd Workshop on Perspectivist Approaches to Disagreement in NLP (and Beyond) (NLPerspectives) https://nlperspectives.di.unito.it/w/2nd-workshop-on-perspectivist-approach… Until recently, the dominant paradigm in natural language processing (and other areas of artificial intelligence) has been to resolve observed label disagreement into a single “ground truth” or “gold standard” via aggregation, adjudication, or statistical means. However, in recent years, the field has increasingly focused on subjective tasks, such as abuse detection or quality estimation, in which multiple points of view may be equally valid, and a unique ‘ground truth’ label may not exist (Plank, 2022). At the same time, as concerns have been raised about bias and fairness in AI, it has become increasingly apparent that an approach which assumes a single “ground truth” can erase minority voices. Strong perspectivism in NLP (Cabitza et al., 2023) pursues the spirit of recent initiatives such as Data Statements (Bender and Friedman, 2018), extending their scope to the full NLP pipeline, including the aspects related to modelling, evaluation and explanation. In line with the first edition <https://nlperspectives.di.unito.it/w/w2022/>, the NLPerspectives (Perspectivist Approaches to Disagreement in NLP) workshop will explore current and ongoing work on: the collection and labelling of non-aggregated datasets; and approaches to modelling and including these perspectives, as well as evaluation and applications of multi-perspective Machine Learning models. We also welcome opinion pieces and literature reviews, e.g., in the context of fairness and inclusion. A key outcome of this second edition will be to build on the work begun at https://pdai.info/ to create a repository of perspectivist datasets with non-aggregated labels for use by researchers in perspectivist NLP modelling. Authors are, therefore, invited to share their LRs (data, tools, services, etc.) and provide essential information about resources (i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work or are a result of their research. In addition, authors will be required to adhere to ethical research policies on AI and may include an ethics statement in their papers. The NLPerspectives workshop will be hosted in person during the 26th edition of ECAI 2023 <https://ecai2023.eu/> in Kraków, Poland, on 30 September or 1 October 2023. Submissions The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of ECAI 2023 conference: https://ecai2023.eu/ECAI2023 We accept three types of submissions: - Regular research papers; - Non-archival submissions: like research papers, but will not be included in the proceedings; - Research communications: 4-page abstracts summarizing relevant research published elsewhere. Research papers (archival or non-archival) may consist of up to 7 pages of content, plus 1 page for references. Research communications may consist of up to 4 pages of content. Submissions should be sent in electronic forms, using the Softconf START conference management system at this URL: https://softconf.com/n/NLPerspectives/user/scmd.cgi?scmd=submitNew Topics We invite original research papers from a wide range of topics, including but not limited to: - Non-aggregated data collection and annotation frameworks - Descriptions of corpora collected under the perspectivist paradigm - Multi-perspective Modelling and Machine Learning - Evaluation of multi-perspective models/ models of disagreement - Multi-perspective disagreement as applied to NLP evaluation - Fairness and inclusive modelling - Perspectivist approaches for social good - Applications of multi-perspective modelling - Computing with (dis)agreement - Perspectivist Natural Language Generation - Foundational aspects of perspectivism - Opinion pieces and reviews on perspectivist approaches to NLP Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organizers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation. Attendance At least one author of each accepted paper is required to participate in the conference and present the work. Important Dates * *Friday June **23 30, 2023: Paper submission* * Friday August 4, 2023: Notification of acceptance * Friday September 1, 2023: Camera-ready papers due * Saturday September 30 or Sunday October 1, 2023: Workshop Workshop organisers: Gavin Abercrombie, Heriot-Watt University Valerio Basile, University of Turin Davide Bernardi, Amazon Alexa Shiran Dudy, University of Colorado, Boulder Simona Frenda, University of Turin Lucy Havens, University of Edinburgh Elisa Leonardelli, Fondazione Bruno Kessler Sara Tonelli, Fondazione Bruno Kessler Contact us at g.abercrombie(a)hw.ac.uk if you have any questions. Website: https://nlperspectives.di.unito.it/

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CLEF: apologies + Thessaloniki
by Paolo Rosso 16 Jun '23

16 Jun '23

Hola Anastasia Apologies for submitting one of my reviews a bit late: very busy time now at the end of the academic year... At the beginning of July I would like to book flight and accomodation: if you have any suggestion about hotels in Thessaloniki they'd be more than welcome ;-) Have a nice weekend Paolo

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PhD position @UPF - Forgetting How to See Language
by Gemma Boleda 16 Jun '23

16 Jun '23

Position at UPF (not related to me) ---------- Forwarded message --------- https://euraxess.ec.europa.eu/jobs/112976#offer-description PhD scholarship in Forgetting How to See Language In this doctoral research, the candidate will investigate the underlying patterns of this forgetting in visual language discrimination. This interdisciplinary research is part of the ForHowSeeL project <https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/eCFIkRR4PbC1/co…>. By leveraging videos of British Sign Language (BSL) and Japanese Sign Language (JSL) and using computer vision and artificial intelligence methods, the goal is to identify the key visual features and discover low-level patterns in the visual data that infants in the early months of life are able to capture and use to discriminate between different sign languages. Both model-based and data-driven methods for visual data analysis and understanding will be exploited. This position is co-funded by the PhD fellowship program of the Department of Information and Communication Technologies at Universitat Pompeu Fabra (DTIC-UPF), and the María de Maeztu Strategic Research Programme at DTIC-UPF on Artificial and Natural Intelligence for ICT and beyond. This position includes a teaching commitment load of 45 hours per academic year. Starting date (planned)*:* September - October 2023 Application deadline: June 30th, 2023 Gross monthly salary: 1.680€. Additional information and application <https://euraxess.ec.europa.eu/jobs/112976>

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June 2023 Newsletter - LDC
by Penn LDC 15 Jun '23

15 Jun '23

In this newsletter: LDC at ACL 2023 LDC data and commercial technology development New publications: Moroccan Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2023L01> LORELEI Indonesian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T07> ________________________________ LDC at ACL 202 LDC will be exhibiting at ACL 2023, held this year July 9-14 in Toronto, Canada. Stop by our booth to learn more about recent developments at the Consortium and the latest publications. LDC will post conference updates via Twitter and Facebook. We look forward to seeing you there! LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: Moroccan Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2023L01> was developed by LDC. It contains a set of five interrelated tables presenting each Moroccan Arabic word as an orthographic form in Arabic script and a pronunciation form in International Phonetic Alphabet (IPA) format. This release contains over 21,000 Moroccan Arabic words in Arabic script and IPA notation, and more than 33,000 English tokens. This lexical database is the result of a collaboration with Georgetown University Press (GUP) <https://press.georgetown.edu/> to enhance and update three dialectal Arabic dictionaries -- Iraqi, Moroccan, and Syrian -- originally published in paper form in the 1960s by GUP. LDC also undertook to develop a lexical database for each dialect. The Georgetown Dictionary of Moroccan Arabic <https://press.georgetown.edu/Book/The-Georgetown-Dictionary-of-Moroccan-Ara…> was published in 2019; this work was based on, and expanded, A Dictionary of Moroccan Arabic<https://press.georgetown.edu/Book/A-Dictionary-of-Moroccan-Arabic>. The several enhancements developed by LDC included facilitating comparisons across Arabic dialects and Modern Standard Arabic by providing Arabic script spellings and IPA pronunciations to Moroccan words and phrases; promoting ease of use by language learners and researchers by developing reasonable orthographic conventions for applying the Arabic alphabet to the dialect; and facilitating a user's understanding of morphological and lexical relations by adding information on the linguistic structures of Moroccan Arabic. 2023 members can access this corpus through their LDC accounts provided they have submitted a signed copy of the special license agreement. Non-members may license this data for a fee. * LORELEI Indonesian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T07> is comprised of over 17 million words of Indonesian monolingual text, 950,000 million words of found Indonesian-English parallel text, and 92,000 Indonesian words translated from English data. Over 113,000 words were annotated for named entities and more than 24,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs, and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Assistant Professor in Computer Science and Law
by Spanakis, Jerry (DACS) 15 Jun '23

15 Jun '23

At Maastricht Law & Tech lab we are looking for an Assistant Professor in the intersection of law and computer science. Strong experience in NLP is much appreciated! If you have any questions about the position, hit me up! The full text of the position is here<https://www.academictransfer.com/en/329092/assistant-professor-in-computer-…> and attached below. —— We are seeking a talented and motivated individual to join our esteemed faculty as an Assistant Professor in Computer Science and Law. This exciting position offers a unique opportunity to contribute to the rapidly evolving intersection of computer science and law, and to shape the future of both fields. JOB DESCRIPTION Role and Responsibilities: As an Assistant Professor, you will be at the forefront of exploring how technology can benefit the legal domain and how computer science can be advanced through the challenges presented by the law. You will collaborate with legal researchers, computer scientists, and enthusiastic students, collectively striving to understand and utilize the latest advancements in computer science to interpret, apply, and evaluate the law. By working with colleagues from diverse backgrounds, you will tackle pressing societal issues and contribute to the development of innovative solutions. At Maastricht University, we are committed to fostering a supportive and inclusive academic community that values diversity, equity, and inclusion. We believe that by bringing together experts from different fields and backgrounds, we can create a rich and dynamic learning environment that prepares students to become leaders in their fields. As an Assistant Professor in Computer Science in Law, you will be an integral part of this community, and will have the opportunity to contribute to our ongoing efforts to create a more just and equitable society. Why Join Us: * Cutting-edge Research Opportunities: we are renowned for our commitment to groundbreaking research. Join our vibrant community of scholars and contribute to advancing knowledge and understanding in this rapidly evolving field. * Interdisciplinary Collaboration: we foster a collaborative environment where experts from various disciplines come together to tackle complex societal challenges. You will have the opportunity to collaborate with legal researchers, computer scientists, and professionals from diverse backgrounds. This interdisciplinary approach will enrich your research and teaching experiences, providing you with a unique perspective and the chance to make a meaningful impact. * Supportive and Inclusive Community: We are dedicated to creating a supportive and inclusive academic community that values diversity, equity, and inclusion. We provide a nurturing environment that encourages personal and professional growth, ensuring that you feel valued and supported throughout your career. * Dynamic Learning Environment: we offer a dynamic learning environment that promotes interactive teaching and student engagement. You will have the opportunity to inspire and educate the next generation of leaders in computer science and law. Our students are eager to learn about the latest advancements in technology and their legal implications, providing you with a motivated and intellectually curious audience. * International Outlook: Maastricht University is an internationally renowned institution located in the heart of Europe. Joining our faculty will expose you to a multicultural and diverse environment, fostering a global perspective in your research and teaching. You will have the opportunity to collaborate with scholars and experts from around the world, expanding your network and contributing to the global academic community. If you are passionate about computer science and law, and are looking for a challenging and rewarding career that will allow you to make a real impact, we encourage you to apply for this position. Responsibilities: The responsibilities are diverse. You will conduct innovative and high-quality research, write research proposals, participate in strategic and administrative activities, and teach in our program where students learn about both the law and computer science methods. This set of responsibilities will, among other things, allow you to: * Grow in academia * Become a pioneer * Work collaboratively and contribute to an interdisciplinary team * Build networks * Participate and lead projects * Pursue strategies to translate research results into innovation * Develop and advance courses and educational programs at the intersection of law and data science REQUIREMENTS Matching Skills We are seeking applicants with the following skills: * PhD degree in law, data science, artificial intelligence, computer science, mathematics, or a related field. Legal scholars with a doctrinal focus do not fit the profile; * Passion for and experience in applying data science, data science, artificial intelligence, computer science, and / or mathematics (individually and / or jointly); * Ability to teach in English. Willingness to learn Dutch; * Possess a University Teaching Qualification (UTQ) or be prepared to obtain one within two years of appointment; * A personality characterized by vision and ambition; * Team player; * (optional) Geek-friendly. CONDITIONS OF EMPLOYMENT * Preferred start of employment: fall 2023 / spring 2024; * 38 hours per week; * You will be employed temporarily for 12 or 18 months (depending on your employment history) as assistant professor (level 2) and will co-develop and agree to specific development goals. Towards the end of this contract period and upon satisfactory performance, this initially 12 or 18 months position will become permanent; * Remuneration will be according to standard salary levels for assistant professors starting from €3,974 up to €5,439 gross per month based on a full-time appointment (38 hours/week). An 8% holiday and an 8.3% year-end allowance is also provided; * We offer an attractive package of fringe benefits such as, collective health insurance with attractive conditions, substantial leave arrangements, selection model for designing a personalised benefits package, use of UM Sport facilities against reduced rate, and application for attractive fiscal arrangements for employees from abroad; * The research will be conducted at the Maastricht Law & Tech Lab. The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/> > About UM > Working at UM<https://www.maastrichtuniversity.nl/about-um/working-um>. EMPLOYER Maastricht University Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and about 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/>. DEPARTMENT Department of Private Law The administrative unit under which the position falls is the Department of Private Law. This department consists of a dynamic group of researchers and lecturers. Colleagues describe the Department as an exciting, inspiring, and diverse yet inclusive environment that fosters professional development, ambition, and innovative research in the field of private law. The atmosphere is one of academic freedom. You will be able to engage in a variety of other activities both within and beyond the Law Faculty, be they educational, managerial, strategic or extra-curricular. Support for grant applications will be provided. The Maastricht Law and Tech Lab The research will be carried out at The Maastricht Law and Tech Lab. The Lab is embedded within the Faculty of Law and aims to produce cutting-edge research and to build a creative community of researchers, teachers and students at the intersection of law, technology, data science and knowledge engineering. The Lab aims to analyze how technology and data science interact with law and justice in society, how technology and data science can increase access to law and justice in society, and analyzes the ethical, legal, and social issues arising from technology and data science innovations. Activities are conducted in collaboration between lawyers, data scientists and / or knowledge engineers. ADDITIONAL INFORMATION More information can be obtained from: prof. dr. Gijs van Dijck, email gijs.vandijck(a)maastrichtuniversity.nl<mailto:gijs.vandijck@maastrichtuniversity.nl>. To apply at this vacancy, press the button ‘apply now’ to see the application procedure. Please send your application before the deadline of 2 July 2023.

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PhD position in Data Science | AI and law
by Spanakis, Jerry (DACS) 15 Jun '23

15 Jun '23

At Maastricht Law & Tech lab we are looking for a PhD candidate to work on the intersection of at a science | AI and law. We are explicitly looking for candidates that have proven experience working on NLP and ML. You can find examples of our recent output here<https://aclanthology.org/2023.eacl-main.203.pdf>, here<https://arxiv.org/abs/2305.02763>. If you are finishing your master degree soon and you are interested, hit me up! The full text of the position is here<https://www.academictransfer.com/en/329093/phd-candidate-position-on-data-s…> and attached below. —— Maastricht University is offering one paid fulltime PhD position in computational methods and digital legal studies. JOB DESCRIPTION While the development and application of artificial intelligence (AI) has taken off, many vulnerable persons such as victims, social media users, children, and consumers are left unprotected or even exploited because they do not have access to legal information or to law enforcement. In your project, you will seek to contribute to a better understanding of how computational methods can assist in the application, interpretation, or evaluation of the law, for instance to develop solutions for vulnerable persons and ordinary citizens. Data sources may include legal texts (e.g. laws, court decisions), social media data, or forum posts where consumers complain about defective products. You will undertake PhD research at the intersection of law and computer science under the supervision of professors of the Maastricht Law & Tech Lab. Your tasks concern conducting the research for your PhD project. Your PhD project will contribute to the Faculty of Law research programme on Law and Technology within the national framework of the Sectorplan on Digital Legal Studies. Your exact project will be determined in consultation with you. A small proportion of the appointment may be devoted to teaching activities, which commonly amounts to teaching activities in a period of eight weeks per year. Depending on your background and language skills, you will teach courses in law and technology or in private law. You will be offered the opportunity to collaborate with researchers from different disciplines, including machine learning, data science, knowledge engineering, and law. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines meet and form interdisciplinary teams that conduct academically and societally relevant research. You will be offered the opportunity to gain insights not only on applying computational techniques, but also on law, regulation, and ethics. For this, you will be encouraged, coached, and allowed to attend courses, conferences and workshops that will add social and legal knowledge to your skillset. PhD researchers participate in the Maastricht University Graduate School of Law. REQUIREMENTS Matching Skills and Competencies * Master’s degree in Law (LLM) or MSc degree in Computer Science, Data Science, Information Science, Artificial Intelligence or equivalent. * Proven experience with applying natural language processing or machine learning. * Community-friendly team player. * Excellent oral and written English communication. * Optional: geek-friendly. CONDITIONS OF EMPLOYMENT * Preferred start of employment: fall 2023; * 38 hours per week; * We offer a 4 year full-time appointment as PhD candidate. A positive assessment after the first year will result in an extension for another 3 years, which happens in the vast majority of cases; * Remuneration will be according to standard salary levels for PhD candidates starting with a salary of €2.541,- with a yearly growth to €3.247,- gross a month, based on a full-time appointment (38 hours/week). An 8% holiday and an 8.3% year-end allowance is also provided; * We offer an attractive package of fringe benefits such as, collective health insurance with attractive conditions, substantial leave arrangements, selection model for designing a personalised benefits package, use of UM Sport facilities against reduced rate, and application for attractive fiscal arrangements for employees from abroad; * We offer a rewarding career at a young university in the heart of Europe, with a distinct global perspective and a strong focus on innovative research and education; * We provide a stimulating, collaborative and interdisciplinary work environment with excellent opportunities for professional and personal development; * Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe; * The PhD research will be conducted at the Maastricht Law & Tech Lab. The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/> > About UM > Working at UM<https://www.maastrichtuniversity.nl/about-um/working-um>. EMPLOYER Maastricht University Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and about 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/>. DEPARTMENT Department of Private Law The administrative unit under which the position falls is the Department of Private Law. This department consists of a dynamic group of researchers and lecturers. Colleagues describe the Department as an exciting, inspiring, and diverse yet inclusive environment that fosters professional development, ambition, and innovative research in the field of private law. The atmosphere is one of academic freedom. You will be able to engage in a variety of other activities both within and beyond the Law Faculty, be they educational, managerial, strategic or extra-curricular. Support for grant applications will be provided. The Maastricht Law and Tech Lab The research will be carried out at The Maastricht Law and Tech Lab. The Lab is embedded within the Faculty of Law and aims to produce cutting-edge research and to build a creative community of researchers, teachers and students at the intersection of law, technology, data science and knowledge engineering. The Lab aims to analyze how technology and data science interact with law and justice in society, how technology and data science can increase access to law and justice in society, and analyzes the ethical, legal, and social issues arising from technology and data science innovations. Activities are conducted in collaboration between lawyers, data scientists and / or knowledge engineers. ADDITIONAL INFORMATION More information can be obtained from: prof. dr. Gijs van Dijck, email gijs.vandijck(a)maastrichtuniversity.nl<mailto:gijs.vandijck@maastrichtuniversity.nl>. To apply at this vacancy, press the button ‘apply now’ to see the application procedure. Please send your application before the deadline of 27 June 2023.

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