- Corpora - ELRA lists

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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Second Call: : ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)
by Marina Litvak 15 Jun '23

15 Jun '23

Apologies for cross-posting ================================================== *CFP: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)* To advance the field of implicit temporal information retrieval from a text, this competition aims to challenge participants to develop automatic methods to identify the literary epochs of a given text, which is considered here as an implicit temporal context of a book. The task on Automatic Classification of Literary Epochs (CoLiE) aims at automatic identification of the literary epoch of a given text from its writing style: (1) Romanticism (1798-1837), (2) Victorian Literature (1837-1901), (3) Modernism (1900-1945), (4) Postmodernism (1945-2000), and (5) our days (from 2000). The competition is held as a part of the IACT’23 <https://en.sce.ac.il/news/iact23> workshop, held on July 27, 2023, in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval This competition is open to anyone with a passion for information retrieval, machine learning, and natural language processing. Whether you are a seasoned expert or a newcomer to the field, we welcome you to participate and extend the boundaries of automated text analysis! Competition site: http://www.kaggle.com/competitions/colie Competition Timeline - May 28, 2023: The competition is open to participants. Training and validation sets together with their labels are available. - July 10, 2023: Test dataset available. - July 17, 2023, 23:59 UTC: Final submission deadline. - July 27, 2023: The winners are announced at the special session at the IACT'23 <https://en.sce.ac.il/news/iact23> workshop. *The organizing team* - Dr. Marina Litvak (marinal(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Dr. Irina Rabaev (irinar(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Prof. Ricardo Campos (ricardo.campos(a)ipt.pt), Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar INESC TEC, Porto Porto, Portugal - Prof. Alípio Mário Jorge (amjorge(a)fc.up.pt) University of Porto Porto, Portugal - Prof. Adam Jatowt (adam.jatowt(a)uibk.ac.at) University of Innsbruck, Innsbruck, Austria - Mr. Vladimir Younkin (vladiyo(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel -- Best regards, Marina Litvak

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PhD Student (m/f/d) in Natural Language Processing (Multimodal Fact Checking), TrustHLT research group, TU Darmstadt, Germany
by ivan.habernal＠tu-darmstadt.de 15 Jun '23

15 Jun '23

The independent research group Trustworthy Human Language Technologies (TrustHLT) at the Department of Computer Science of the Technical University of Darmstadt, Germany has a job opening for a PhD student (m/f/d) as part of our collaboration with the German Federal Bank (Deutsche Bundesbank) within the Innovation Lab “XChange Kooperation Bundesbank - Data Science @ TU Darmstadt”. This position will focus on a broad range of research questions related to multimodal fact checking, including novel problems and task definitions. A solid background in machine learning for natural language processing and dataset construction is essential. The candidate will be part of an interdisciplinary team at the Department of Computer Science at TU Darmstadt and will cooperate with the German Federal Bank. Wages and salaries are based on the collective agreement applicable to the TU Darmstadt (TV-TU Darmstadt). -- Requirements -- An ideal candidate has a master in computer science or a related discipline, a strong interest in multimodal natural language processing, excellent analytical and programming skills, is a team player, and is fluent in English. Fluency in German is a plus but not required. -- Diversity -- TU Darmstadt is strongly committed to diversity and particularly welcomes applications from members of underrepresented groups. Applications from female candidates are highly encouraged. -- Team -- TrustHLT is an independent research group led by Dr. Ivan Habernal, appointed at the Department of Computer Science of the Technical University of Darmstadt. The group conducts research in the field of natural language processing with a focus on legal argumentation and privacy-preserving technologies. The Department of Computer Science at TU Darmstadt regularly ranks among the top in Germany. -- Application -- Please send your detailed CV, references, and a copy of your master’s thesis, the names of two referees, and a letter of motivation outlining your research interests to ivan.habernal(a)tu-darmstadt.de, subject: “PhD application Bundesbank”. Please do not hesitate to contact Dr. Habernal should you have any further questions. Deadline: Friday July 7th, 2023. The position is open until filled.

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Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) --- Deadline: June 22nd, 2023
by Loizos Michael 15 Jun '23

15 Jun '23

Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) --- Deadline: June 22nd, 2023The recent thrust towards explainable and trustworthy AI has provided renewed impetus to the design and development of AI technologies that explicitly acknowledge, and adapt to, the cognitive abilities and limitations of humans.To teach the emerging paradigm of cognitively-inspired AI, the interdisciplinary M.Sc. Program in Cognitive Systems combines courses from neural/connectionist and symbolic Artificial Intelligence, Machine Learning, and Cognitive Psychology, to explore the fundamentals of perception, attention, learning, mental representation, and reasoning, in humans and machines.The M.Sc. Program is offered jointly by two public universities in Cyprus (the Open University of Cyprus and the University of Cyprus) and has been accredited by the national Quality Assurance Agency. The program is directed by academics from the participating universities, and courses are offered in English via distance learning by an international team of instructors. Applications for the academic year 2023-2024 are accepted until June 22nd, 2023: https://admissions.ouc.ac.cy/ More information (and contact details) about the M.Sc. Program in Cognitive Systems: https://cogsys.ouc.ac.cy/ Regards, Loizos

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reminder: PhD position in Cognitive Modelling
by Vera Demberg 15 Jun '23

15 Jun '23

We are inviting applications for one PhD position (3 years) of acomputer scientist,computational linguistor psycholinguist,who has experience withor interest incognitive modelling for language processing (e.g., Bayesian models, and/or modelsusing cognitive architectureslike ACT-R). Theposition will be funded as part of theERC Starting Grant "Individualized Interaction in Discourse" ofProf. Vera Demberg, at Saarland University. The goal of the position is todevelop models that capture individualdifferences in discourse and pragmatic processing. The candidatewill conduct research on the design andimplementation of cognitive models of language processingat the level of discourse and/or pragmatic processing. These models should capture individual differences in cognitionsuch as working memory, language experience, background knowledge, theory-of-mind abilities etc. The successful applicant must have excellent spoken and writtenproficiency inEnglish, and have a background in natural language processing or cognitive modelling. Applicants are requested to submit their application, including a cover letter that specifies why you would like to workon this topic and what qualifies you for it, an academic CV, a list of academic publications, yourBSc/ MSc thesis (ora current draft), copies of academic degree certificates and names of two potential references. For application to the PhD position please quote opening number W2289. The applicationsshould be sent via emaildirectly to Prof. Vera Demberg: vera(at)coli.uni-saarland.de *The****application deadline is****June 18th**, 202**3* Saarland University is one of the leading centres for computer science and computational linguistics in Europe, and offers adynamic and stimulating research environment.The groupis affiliated with both theDepartment of Computer Scienceand withtheDepartment of Language Scienceand Technology. Both departments are part of the Saarland Informatics Campus, which brings together 800 researchers and 2000 students from 81countries. We collaborate closely with the university's Department of Computer Science, the Max Planck Institute for Informatics,the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). Our researchers and students come from all over the world, and our primary working language is English. The Saarland University is an equal opportunities employer. In accordance with its policy of increasing the proportion of womenin this type of employment, the University actively encourages applications from women. Women are given preference in cases ofequal suitability, ability and professional performance. Applications from severely disabled persons will be given preferential consideration in the event of equal suitability. Part-timeemployment is generally possible. We welcome applications regardless of gender,nationality, ethnic and social origin, religion/belief, disability, age, and sexualorientation and identity. Pay grade classification is based on the particular details of the position held and the extent to which the applicant meetstherequirements of the pay grade within the TV-L salary scale. Unfortunately, costs for attending an interview at Saarland University cannot be reimbursed in principle. When you submit a job application to Saarland University you will be transmitting personal data.Please refer to our privacy noticefor information on how we collect and process personal data in accordance with Art.13 of theDatenschutz-Grundverordnung.Bysubmitting your application you confirm that you have taken note of the information in the Saarland University privacy notice.************ -- Prof. Dr. Vera Demberg Computer Science and Computational Linguistics Saarland Informatics Campus Saarland University Campus C7.2 Room 3.02 D-66123 Saarbrücken Phone: +49-681-302-70024 Sekretariat: +49-681-302-70025 Fax: +49-681-302-70026

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Few funded PhD and MSc Positions in the area of AI-enabled next generation networking and multimedia systems in Montreal, Canada
by abdelhak.bentaleb＠concordia.ca 15 Jun '23

15 Jun '23

Dear colleagues, The Intelligent Next Generation Networking and Multimedia (IN2GM) Lab at Concordia University is delighted to announce the availability of a few funded Ph.D. and Master positions in the exciting research areas of networking, multimedia systems, and next-generation network systems and applications. We are seeking highly motivated candidates with a strong interest in networking and media delivery protocols, immersive media, next-generation wireless/mobile networks (5G and beyond), and AI/ML for networking, edge AI and media delivery optimization. Starting Date: Fall 2023 or shortly thereafter (e.g., Winter 2024). Duration: 3-4 years for a Ph.D. degree and 2 years for a Master's degree, with the possibility of extension based on performance. Location: Concordia University, Montreal, Canada. Job Description: As part of an R&D collaboration between Concordia University's IN2GM Lab and industry partners, this project offers an exceptional opportunity to conduct cutting-edge research, develop innovative paradigms, prototype tools, and evaluate results. The focus is on building systems that support the delivery of immersive media over 5G networks. The primary objective of this research is to design an end-to-end AI-enabled immersive media transport system. This encompasses various aspects, including media encoding, media packaging, media ingesting, media delivery over the core and last-mile networks, and media consumption on the client side. The system must adhere to the standards set by IETF, MPEG, and 3GPP. The intended applications of this research include virtual reality (VR), augmented reality (AR), XR (extended reality), and the metaverse. The program offers a competitive salary, and successful Ph.D. and Master students will have the privilege of being supervised by Professor Abdelhak Bentaleb, the esteemed head of the IN2GM Lab. Upon completion, students will be awarded a doctorate degree (for Ph.D. positions) or Master (for Master positions) in Computer Science from Concordia University's Department of Computer Science and Software Engineering, which is part of the Gina Cody School of Engineering and Computer Science. Qualifications: Candidates must have completed a master's degree (for Ph.D. positions) and a BSc degree (for Master'spositions) in Computer Science, Computer Engineering, Communications, or a related discipline, or be nearing completion at the start date of the appointment. Additionally, successful candidates should possess: Excellent background in networking, multimedia systems, and mathematics. Having a background in immersive media, video streaming protocols/formats, wireless 5G networks, and machine/deep learning (e.g., deep reinforcement learning) is a plus. Proficiency in programming languages such as Python, PyTorch, JavaScript, C, and C++. Good English skills, both written and verbal. How to Apply? To apply for these positions, please submit your application to Dr. Abdelhak Bentaleb, Assistant Professor of Computer Science in the CSSE Department at Concordia University, via email at abdelhak.bentaleb(a)concordia.ca Your application should include the following documents: Letter of motivation (maximum 3 pages) explaining your interests related to this position. Please outline your background, elaborate on how you are well-suited for the position, highlight how you can contribute to the described research topics, and provide details about your previous academic projects and publications, if applicable. Detailed curriculum vitae. Soft copies of degree certificates and transcripts from both your bachelor's and master's degrees. To ensure a timely response, please include "PhD (or Master) Position [Application]: Your-Name" in the subject line of your email. About Concordia: Located in the vibrant and multicultural city of Montreal, Concordia University is among the most innovative universities in its approach to experiential learning, research, and education. Concordia is one of the three universities in Quebec where English is the primary language of instruction. It is the first university under 50 years in Canada and the Computer Science and Software Engineering (CSSE) Department is ranked one of the top 10 CS departments in Canada. The CSSE Department is located in the “Quartier Concordia” neighborhood of Downtown Montreal where there are many options for direct transportation: metro, bus, or bike. It provides a suitable learning and research environment where students can flourish their skills. Best Regards, Abdelhak Bentaleb, Ph.D. Assistant Professor of Computer Science Department of Computer Science and Software Engineering (CSSE) Gina Cody School of Engineering and Computer Science Concordia University Montreal, QC, Canada H3H 2R9 Email: abdelhak.bentaleb(a)concordia.ca

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