October 2023 - Corpora

Job opening: PhD candidate in Inclusive Machine Translation (1,0 fte, 4 years)
by Fred Blain 11 Oct '23

11 Oct '23

Dear all, The Department of Cognitive Science and Artificial Intelligence at Tilburg University is delighted to announce a PhD vacancy for a highly motivated and talent student to contribute to the cutting-edge field of Machine Translation (MT). More specifically, the candidate will focus on the important yet challenging and exciting topic of Inclusive Machine Translation. Traditional Neural Machine Translation (NMT) systems tend to suffer from overgeneralizations, biases and lack of transparency. By mitigating biases and enhancing the transparency of NMT systems, the PhD researcher will work towards fairer and more inclusive MT. In line with the research interests of the Inclusive and Sustainable Machine Translation (ISMT) Lab, the objective of this research proposal is thus to investigate efficient and sustainable ways to address challenges related to inclusivity, bias and transparency in NMT. We offer a fully funded, 4-year PhD position, to conduct research and innovation activities in the field of text-to-text Machine Translation. Within the scope of this PhD, topics such as data compilation, data preprocessing and data analysis tailored to the needs of Machine Translation; development and neural architectures for uncovering bias and enhance explainabilty in translation and/or adapting architectures with successful application on text-to-text MT; adapting and adopting pre-trained language models, and human-centred design, evaluation and validation activities will be addressed. This position is hosted by the ISMT Lab of the CSAI department which focuses on (i) user- and use-case-centric MT, (ii) Inclusive Language Technology and (iii) Sustainable and Environmentally Conscious AI. Through its research activities it aims at promoting inclusiveness and cross-field collaborations, working with both academia and industry. The PhD candidate will be supervised by dr. Eva Vanmassenhove<https://research.tilburguniversity.edu/en/persons/eva-vanmassenhove> and dr. Frédéric Blain<https://research.tilburguniversity.edu/en/persons/fred-blain> (daily supervisors), and dr. Afra Alishahi<http://afra.alishahi.name/> (promotor). The work will be centred around objectives that will involve: Data Analysis, Data Processing Techniques, Model Training (design and implementation of state-of-the-art Deep Learning models for MT), Annotations (e.g. Linguistic Annotations), Bias Mitigation, Explainability Enhancement. The PhD candidate will work on tasks related to the aforementioned objectives in a multidisciplinary environment. This will allow the PhD candidate to gain expertise from the fields of Computational Linguistics, Computer Science, Engineering, Data Analysis, Machine- and Deep-Learning, and Cognitive Science. Job description * Develop and conduct research; * Write and defend a thesis within 4 years; * Write peer-reviewed papers for submission to international journals or leading conference proceedings in the first 3 years; * Give presentations about study results on a regular basis on workshops and conferences; * Participate in co-organising workshops; * Participate in ISMT and CSAI activities; * Participate in the Graduate Schools’ education program. Your Profile Candidates for this position should have a (research) Masters’ degree in: Artificial Intelligence and / or Computational linguistics with focus in at least one of the following fields: computational linguistics, natural language processing, machine translation, machine learning, data analysis and/or deep learning. In addition, we invite applicants who have a strong profile in a subset of these: * Interest in languages, NLP and/or Linguistics; * Excellent analytical and problem-solving abilities; * Ability to work both independently and collaboratively as part of a team to drive innovative research; * Proficiency in scientific programming languages, particularly Python (Numpy, Pandas, Matplotlib, Scikit-Learn, Tensorflow, PyTorch, etc.); * Some experience with (experimental) evaluation and statistical analyses; * Fluent spoken and written English communication skills; * Have a proactive and goal-directed attitude, good organizational skills, and the ability to get things done. Knowledge of another language than English (default language of communication) and / or Dutch is not an obligation but would be a major advantage given the research topic. Conditions of employment Fixed-term contract: 4 years. A full-time position. Starting date is negotiable. The selected candidate will start with a contract at Tilburg University at the Department of Cognitive Science and Artificial Intelligence for one year, concluded by an evaluation. Upon a positive outcome of the first-year evaluation, the candidate will be offered an employment contract for an additional 3 years. The PhD candidate will be ranked in the Dutch university job ranking system (UFO) as a PhD-student (promovendus) with a starting fulltime salary of € 2,770 gross per month in the first year, increasing up to € 3,539 the fourth year. A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually); Researchers from outside the Netherlands may qualify for a temporary tax-free allowance equal to 30% of their taxable salary. The University will apply for such an allowance on their behalf; The University will provide assistance in finding suitable accommodation (for foreign employees); Tilburg University is rated among the top Dutch employers and offers very good fringe benefits (it is one of the best non-profit employers in the Netherlands), also including excellent technical infrastructure, savings schemes and excellent sport facilities. The collective labor agreement of the Dutch Universities applies. Who we are The CSAI department (https://csai.nl) The Cognitive Science & Artificial Intelligence (CS&AI) department performs computational research in the domains of Artificial Intelligence and Cognitive Science and runs educational programs on Cognitive Science & Artificial Intelligence and Data Science and Society. The department is partially housed on Tilburg University campus (Dante Building) and in the Deprez building (near Tilburg central station) as member of MindLabs<https://www.mind-labs.eu/>. We maintain a close collaboration with the Jheronimus Academy of Data Science (JADS) in ‘s-Hertogenbosch. We are member of the Benelux Association for Artificial Intelligence<http://ii.tudelft.nl/bnvki/> (BNVKI), participate in the Special Interest Group for AI<http://ii.tudelft.nl/bnvki/?page_id=1247> (SIG AI), contributed to the Dutch AI Manifesto<http://ii.tudelft.nl/bnvki/wp-content/uploads/2018/09/Dutch-AI-Manifesto.pdf>, and participate in the Confederation of Laboratories for Artificial Intelligence Research in Europe<https://claire-ai.org/> (CLAIRE). The research group consists of about 70 researchers covering a broad range of topics relevant for cognitive science and artificial intelligence, and this includes approximately 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and signal processing, with a strong emphasis on quantitative methods. The ISMT Lab (https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ma…) Machine translation (MT), the task of automatically translating text in one language into text in another language using a computer system, has undergone many shifts since its inception in the late 1950s. The latest of which, neural machine translation (NMT), has reached unprecedented translation qualities at almost human-level performance, of course for some use-cases and under certain conditions. MT has become an indispensable tool for professional translators (to assist in the translation workflow), for commercial users, e.g., e-commerce companies (to make their content quickly available in multiple languages), to every-day users (to access information unrestricted by the language in which it is produced). User- and use-case-centric MT We focus on the specific user requirements as well as the domain, the language, the style, etc. of a specific use-case. Through smart data analysis, selection and processing and optimized models we investigate faster and better tools that are tuned towards users and use-cases. Inclusive Language Technology Current MT and NLP models exacerbate bias and may produce inaccurate or sometimes even offensive outputs. We explore bias-related language phenomena and develop techniques to mitigate bias is an important research direction we are undertaking. Sustainable and Environmentally Conscious AI We study the environmental impact of language technology and ways to cut down the use of computing resources without losing quality. Can we reduce, reuse and reorganize for a less intrusive technology? More information This PhD project is expected to start at the beginning of 2024; the preferred start date is February 1st 2024. For more information on this position or the project, please contact: dr. Eva Vanmassenhove (E.O.J.Vanmassenhove(a)tilburguniversity.edu<mailto:E.O.J.Vanmassenhove@tilburguniversity.edu>), or dr. Frédéric Blain (F.L.G.Blain(a)tilburguniversity.edu<mailto:F.L.G.Blain@tilburguniversity.edu>) Applications To apply for this position please submit a motivation letter, CV, thesis (and any publications), grade list and names of two references. The only way to apply is online. Deadline for applications: November 15th 2023. Interviews are expected to take place in the beginning of December 2023. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> -------- Met hartelijke groeten/With kind regards, Fred Blain Assistant Professor in AI Department of Cognitive Science & Artificial Intelligence Dante Building, D144 Tilburg School of Humanities and Digital Sciences Tilburg University, The Netherlands

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Postdoc position in Copenhagen (AAU, 24 months)
by Johannes Bjerva 11 Oct '23

11 Oct '23

Hi everyone, We are hiring a 2-year postdoc at the Copenhagen campus of Aalborg University. The project is on NLP in an educational context, with the goal of exploring methodology for automated generation of feedback, tailored to specific students. There is a substantial amount of freedom in terms of the methodological research direction. The position is funded by a Villum Synergy project, hence in addition to core NLP research, there will be an opportunity to publish in venues focused on learning technologies. You will be joining a growing department (with annual hiring rounds for assistant professors), and a fun NLP team with ph.d.s and postdocs focusing on low-resource NLP (https://typnlp.github.io/). * Application deadline: 8 November 2023 * Interviews likely in mid November * Starting date: 1 January 2024 (or shortly thereafter) * Quality of life in Copenhagen is high, and getting around by bike is both safe and easy - the AAU campus in Copenhagen is located by the waterfront, close to the city, and easily accessible both by bike and public transport. For more details and to apply, see the official call here: https://www.vacancies.aau.dk/scientific-positions/show-vacancy?vacancyId=12… Interested applicants are encouraged to reach out to me at jbjerva(a)cs.aau.dk. Best, Johannes Johannes Bjerva Associate Professor | Natural Language Processing | Department of Computer Science Team Lead for CS CPH Aalborg University Copenhagen Office 2.2.089, A.C. Meyers Vænge 15, 2450 Copenhagen, Denmark

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Job: Postdoctoral Researcher (f/m/d) in Privacy-Preserving Natural Language Processing, Paderborn University, Germany
by Ivan Habernal 11 Oct '23

11 Oct '23

Job: Postdoctoral Researcher (f/m/d) in Privacy-Preserving Natural Language Processing, Paderborn University, Germany Paderborn University is a high-performance and internationally oriented university with approximately 18,000 students. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and actively transfer knowledge into society. As an important research and cooperation partner, the university also shapes regional development strategies. We offer our more than 2,600 employees in research, teaching, technology and administration a lively, family-friendly, equal opportunity environment, a lean management structure and diverse opportunities. Join us to invent the future! The Natural Language Processing group lead by Prof. Dr. Ivan Habernal at the Faculty of Computer Science, Electrical Engineering and Mathematics offers a full-time position as Postdoctoral Researcher (f/m/d) (according to salary group E 14 TV-L) starting as soon as possible in the research area "Privacy-Preserving Natural Language Processing". This position will focus on a broad range of research questions related to privacy-preserving NLP, including large language models or data privatization. A solid background in machine learning for natural language processing is essential, prior experience with differential privacy or other privacy frameworks is a plus. The position is planned for three years with a possible extension. The period of employment is governed by the Academic Fixed-Term Contract Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). An extension is possible within the time limits of the WissZeitVG. Your duties and responsibilities: * Independently conduct innovative research in the research area mentioned above * Take an active role in supervising students (doctoral-, master's and bachelor's students) * Operational and strategic management and further development by leading research project * Acquisition of new third-party funds * Teaching on the order of 4 teaching hours (SWS) per week Your profile: * PhD degree in computer science or a related area * Excellent analytical and programming skills * Publications in the area of privacy-preserving NLP/ML is a plus * Communicative and team-oriented personality * Independent, self-reliant and committed working style * Very good command of English, both written and spoken (German is a plus) We provide: * Work on highly relevant research topics and technologies in an international research team * A family-friendly workplace with the opportunity of partial remote work ("Mobiles Arbeiten") * Personnel development through further training opportunities * A supplementary employer pension scheme (VBL) Applications from women are particularly welcome and, in case of equal qualifications and experiences, will receive preferential treatment according to the North Rhine-Westphalian Equal Opportunities Act (LGG), unless there are preponderant reasons to give preference to another applicant. Part-time employment is, in principle, possible. Applications from disabled people with appropriate suitability are explicitly welcome. This also applies to people with equal opportunities in accordance with the German social law SGB IX. Apply by sending a short letter of motivation and a curriculum vitae including your publication list to Prof. Dr. Ivan Habernal (ivan.habernal(a)uni-paderborn.de) with reference code 6137. Don't hesitate to contact Prof. Habernal should you have any questions regarding the position. Application deadline is on October 22th, 2023. The position remains open until filled. Information regarding the processing of your person data can be located at: https://www.uni-paderborn.de/zv/personaldatenschutz . Prof. Dr. Ivan Habernal Faculty of Computer Science, Electrical Engineering and Mathematics – Department of Computer Science Paderborn University Warburger Str. 100 33098 Paderborn

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Call for Papers: International Conference for Learner Corpus Research (LCR 2024)
by lcr2024＠ut.ee 10 Oct '23

10 Oct '23

Dear Colleagues, We are delighted to extend an invitation for the forthcoming International Conference for Learner Corpus Research (LCR) in 2024. Organized under the aegis of the Learner Corpus Association, this event brings together researchers, language instructors, and software developers who share an interest in using learner corpora for research. LCR 2024 in Tartu aspires to provide a favourable environment for dialogue and most recent research, allowing LCA members and other scholars in the field of LCR to share their latest ideas and findings. Recognizing Estonia's unique position as the homeland of a lesser-known non-Indo-European language, we see it as suitable to prioritize corpus research that delves into the learning of smaller languages and by learners with less common L1 backgrounds. However, research focused on languages, even those extensively studied, is, as always, mostly welcomed. Below, you will find the most essential details about the conference. Keynote speakers: Gaëtanelle Gilquin (Université Catholique de Louvain, Belgium) Ilmari Ivaska (Turun Yliopisto, Finland) Cristóbal Lozano (Universidad de Granada, Spain) Event Details: Date: 26-28 September 2024 Location: Institute of Foreign Languages and Cultures and the Institute of Estonian and General Linguistics. University of Tartu, Estonia. Categories: The conference will include keynote talks, paper presentations, work in progress reports, poster presentations and software demonstrations. Language: The language of the conference will be English. Topics: Areas of interest include, but are not limited to, the following: Language for academic purposes Language for specific purposes Language teaching, assessment and testing Learner corpus-based SLA studies Corpora as pedagogical resources Multimodal learner corpora Software for learner corpus analysis Corpus-based translation studies English as a Medium of Instruction (EMI) English as a Lingua Franca (ELF) Data mining and other explorative approaches to learner corpora Statistical methods in learner corpus studies Discourse analysis and pragmatics Studies related to lexis: semantics, metaphor, etc. NLP approaches Complexity, accuracy and/or fluency (CAF) analysis Abstracts: A short summary of the intended presentation, capturing the central idea along with the research questions, methods of research and the (possibly tentative) key conclusions, also citing any relevant previous work or theoretical background of the field On unpublished original research Complemented by 3-5 keywords Limited to 300 words, excluding keywords and references Anonymous: the abstract itself should hold no reference to the author or their affiliation Further information is available at our webpage: https://lcr2024.ut.ee/main Contact information: lcr2024(a)ut.ee Looking forward to your valuable contributions.

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CfP: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Stan Szpakowicz 10 Oct '23

10 Oct '23

*LaTeCH-CLfL 2024: The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature * to be held in March 2024 in conjunction with EACL 2024 <https://2024.eacl.org/> in Malta. https://sighum.wordpress.com/latech-clfl-2024/ First Call for Papers (with apologies for cross-posting) Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Stan Szpakowicz LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first seven joint workshops (LaTeCH-CLfL) were held in 2017-2023. *Topics and content* In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • interpretability of large language models output for DH-related tasks (explainable AI); • linking and retrieving information from different sources, media, and domains; • low-resource and historical language processing; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. *Information for authors* We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word); there will be a link soon (we hope) but last year's https://2023.eacl.org/calls/styles is a good guess. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2024 submission website on the SoftConf pages (we will publish the link as soon as we have it). Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology. *Important dates* (tentative) Workshop paper due: December 18, 2023 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30 2024 Workshop date: March 21 or 22, 2024 *More on the organizers* Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa *Contact* latech-clfl(a)googlegroups.com

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Research position in the topic of Large Language Models
by Eleftherios Avramidis 09 Oct '23

09 Oct '23

Dear all, The research group DRX of The German Research Center for AI in Berlin, under the direction of Prof. Dr. Gesche Joost, investigates smart technologies from a designerly perspective. For an upcoming research project, we are looking for a researcher (who could be a PhD candidate or a post-doc) to explore human-in-the-loop approaches to optimize LLMs for new AI products. The deadline is October 20. Please find more details at the URL: https://jobs.dfki.de/en/vacancy/researcher-m-f-d-in-drx-539334.html best Lefteris -- Short name: Lefteris Pronouns: he/him Languages: English, German, Greek Website:https://www.dfki.de/~elav01 Address: Alt Moabit 91c, 10559 Berlin, Germany Tel.: +49 30 23895 1806 Sec.: +49 30 23895 1800 Fax.: +49 30 23895 1810 ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 Sitz der Gesellschaft: Kaiserslautern ---------------------------------------------------------------------

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LREC-COLING 2024: Deadline Extension
by Enrico Santus 09 Oct '23

09 Oct '23

LREC-COLING 2024 Call for Papers: Deadline Extension The LREC-COLING template MUST be used for your submission(s). If not, your submission(s) will be rejected. Visit Author’s Kit Page <https://lrec-coling-2024.org/authors-kit/> Two international key players in the area of computational linguistics, the ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL), are joining forces to organize the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) to be held in Torino, Italy on 20-25 May, 2024. IMPORTANT DATES (All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) - 22 September 2023: Paper anonymity period starts - 20 October 2023: Final submissions due (long, short and position papers) - 20 October 2023: Workshop/Tutorial proposal submissions due - 22–29 January 2024: Author rebuttal period - 5 February 2024: Final reviewing - 19 February 2024: Notification of acceptance - 25 March 2024: Camera-ready due - 20-25 May 2024: LREC-COLING2024 conference SUBMISSION TOPICS LREC-COLING 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of natural language and computation, language resources (LRs) and evaluation, including spoken and sign language and multimodal interaction. Submissions are invited in five broad categories: (i) theories, algorithms, and models, (ii) NLP applications, (iii) language resources, (iv) NLP evaluation and (v) topics of general interest. Submissions that span multiple categories are particularly welcome. For more information, please visit: https://lrec-coling-2024.org/2nd-call-for-papers/ -- Enrico Santus, PhD *Head of Human Computation* *CTO Office at Bloomberg LP* *Website*: www.esantus.com *E-mail*: esantus(a)gmail.com *All opinions expressed in my private e-mails are my own, and they do not represent any group, institution or company to which I am associated.*

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Job Announcement: Assistant Professor of Translation Technologies and Artificial Intelligence
by Patrick Drouin 08 Oct '23

08 Oct '23

Assistant Professor of Translation Technologies and Artificial Intelligence Department of Linguistics and Translation Faculty or Arts and Sciences University of Montréal Job description The Department of Linguistics and Translation invites applications for a full-time assistant professor position in Translation Technologies and Artificial Intelligence. Responsibilities * The successful candidate will be expected to teach at the undergraduate and graduate levels, supervise graduate students, pursue research, publication and outreach activities as well as contribute to the academic life of the University. * Teaching activities will include training undergraduate students in the use of Machine Translation, Translation Technologies and the use of Artificial Intelligence in Translation. * Graduate research and teaching activities will focus on theoretical and methodological issues in Translation technologies, in particular Neural Machine Translation, Artificial Intelligence and Natural Language Processing from a multilingual perspective. * The successful candidate will be called upon to develop or consolidate collaborations with professional circles and work with research teams working in Artificial Intelligence, in Montreal, in Canada and internationally. Requirements * PhD in translation, language sciences, computer science or a relevant field; * Excellent research and publication record in the field; * Demonstrated ability to provide high quality university education; * Membership in the Ordre des traducteurs, terminologies et interprètes agréés du Québec (OTTIAQ) or a professional translation association will be considered an asset. * Have sufficient knowledge of the French language or be determined to learn it once on the job through the French language learning support program offered by UdeM, under the Language Policy of the Montreal university. The successful candidate's file, depending on their expertise and interest, could be proposed for a position as an IVADO Professor. These positions offer improved starting conditions. The person will participate in the ambitious project (IAR3) aimed at the development and adoption of robust, reasoning and responsible artificial intelligence for which IVADO has just obtained an Apogée grant. How to submit your application The application file sent to the Department Chair should contain the following documents: * a cover letter; application must include in the cover letter one of the following statements: “I am a citizen/ permanent resident of Canada.” or “I am not a citizen or permanent resident of Canada.” * a research statement (approximately one page); * a curriculum vitæ; * a copy of recent publications or research work; * a statement on teaching philosophy (maximum one page); * a research statement (maximum two pages); * three letters of recommendation are also to be sent directly to the Department Chair by the referees. Application file and letters of recommendation must be sent by email before November 15, 2023 to: Patrick Drouin, Chair Department of linguistics and Translation Faculty des Arts and Sciences Email : direction(a)ling.umontreal.ca Website : https://ling-trad.umontreal.ca

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Two tenure-track positions in Computational Linguistics at Indiana University, Bloomington
by Francis Tyers 07 Oct '23

07 Oct '23

Apologies for cross-posting. Dear all, https://indiana.peopleadmin.com/postings/20630 The Department of Linguistics at Indiana University (https://linguistics.indiana.edu/) invites applications for up to two tenure-track positions at the level of Assistant Professor in Computational Linguistics beginning Autumn 2024. Candidates need to have a research area in Computational Linguistics that aligns with interests in the department and/or helps strengthen the research and teaching profile of the Computational Linguistics programs at IU. Preference will be given to candidates with a research focus in the area of speech technologies (recognition or synthesis), with an interest in developing methodologies for under-resourced languages or in resource-constrained environments, but other research areas will also be considered. Evidence of an active research agenda and a strong commitment to innovative teaching is required for consideration. A PhD in computational linguistics or natural language processing is required at the time of appointment. The program operates in a very interdisciplinary environment, with close connections to Cognitive Science, Computer Science, Information and Library Science, Psychology, Speech and Hearing Sciences, and the language programmes, and candidates are expected to fit into this collaborative landscape. Collaborative research and joint advising of students in the departments of Computer Science and Informatics will be possible. The College of Arts and Sciences is committed to building and supporting a diverse, inclusive, and equitable community of students and scholars. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Inquiries can be directed to Dr. Sandra Kuebler at skuebler(a)iu.edu or Dr. Francis Tyers at ftyers(a)iu.edu. Best regards, Francis M. Tyers

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Call for academic position IDIA - University of Chile
by Felipe Bravo 06 Oct '23

06 Oct '23

We are seeking a talented, highly motivated, academic with the potential to expand the research and teaching activities related to the broad field of data science at Universidad de Chile. This is a unique opportunity to join the recently established Initiative for Data and Artificial Intelligence (IDIA) and collaborate with an interdisciplinary group of academics from the Faculty of Physical and Mathematical Sciences (FCFM) at Universidad de Chile The position is full-time, open-rank, and leads to a tenure track. Salary will depend on the initial evaluation, for reference, the starting salary for an Assistant Professor ranges between CLP$3.400.000 and CLP$4.000.000 per month before taxes. You are expected to lead a successful research agenda that attracts grant funding, as well as be committed to teaching activities both for undergraduate and graduate programmes. As part of IDIA, you will play an active role in management and decision-making. As a member of Universidad de Chile, you will be responsible for promoting equality, diversity, and inclusion in all instances within our institution. Teaching load is 5 courses per 2 years. You will have a doctorate and postdoctoral experience that demonstrates your leadership as a researcher in the fields of data science, machine learning, or artificial intelligence. Furthermore, you will have the ability to foster collaboration in the abovementioned fields within FCFM, in particular, to engage and motivate students at all levels and from all backgrounds. You will also participate in our Master of Data Science as lecturer and supervisor, thus interacting with postgraduate students of a broad background working on applied and theoretical data science projects. For an informal discussion about the post, please contact the IDIA Director Dr Felipe Tobar (ftobar [AT] uchile [DOT] cl) Applications should be submitted directly to the website https://concurso-academico.uchile.cl/ and the application details are available here <https://idia.uchile.cl/wp-content/uploads/2023/09/BASES_IDIA_2305_Escuela_d…> *Deadline: 30 November 2023.* *Universidad de Chile is committed to equity, diversity, and social inclusion. We strongly encourage applications from under-represented individuals in the profession across ethnic and national origin, physical ability, and gender and sexual identity. Universidad de Chile believes in the value of different perspectives and backgrounds to build world-class research groups.* Source: https://idia.uchile.cl/2023/09/call-for-academic-position-idia/

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Corpora October 2023