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Research Associate (post-doc) position at the University of Sheffield (deadline: October 8, 2022)
by Aline Villavicencio 21 Sep '22

21 Sep '22

---------- Postdoctoral researcher in Machine Learning applied to Natural Language Processing EPSRC Project: Modeling Idiomaticity in Human and Artificial Language Processing (MIA) Duration: Fixed-term with an end date of 30 November 2023. Full-time, although part-time would be considered (working commitment and pattern to be agreed) Application Deadline: October 08,2022 Application link: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo… <https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo…> The University of Sheffield (UK) The University of Sheffield invites applications for a postdoctoral researcher in Machine Learning applied to Natural Language Processing position, which is part of the EPSRC project on MIA: Modeling Idiomaticity in Human and Artificial Language Processing, a collaboration led by Prof. Aline Villavicencio, Dr. Carolina Scarton, and Prof. Anna Korhonen. We are looking to make an appointment as soon as possible after the deadline. The initial appointment will be until November 2023. The position is remunerated according to Grade 7.3 pay scale:£35,333 per annum. The responsibility of the postdoctoral researcher is to research strategies for more transparent machine learning models to generate accurate cross-lingual representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of downstream tasks, like machine translation. The researcher will also collaborate with the University of Cambridge (UK) and the Aix Marseille University (France), partners in this project. Furthermore, The ideal candidate will have: - A PhD in Machine Learning/Natural Language Processing or related field; - A strong publication record commensurate with career stage; - Expertise in machine learning (applied to NLP), with experience in the analysis and development of classical and deep learning models; - Experience in using libraries for NLP and deep learning, such as Tensorflow and Keras; - Experience in data annotation, data collection, and creating new benchmark datasets for evaluation; - A willingness to further improve methods skills and to transfer knowledge to doctoral researchers and student assistants. Expertise in at least one of the following areas is advantageous but not required: - Track record in ML/NLP methods for developing word representation models; - Knowledge of machine translation models. MIA project: MIA is part of the EPSRC call for Responsible NLP for Intelligent Interfaces. In MIA, we will develop idiomatically-aware word/phrase representation models with the ability to process idiomatic (non-literal) language, by incorporating clues that are linguistically-motivated and cognitively-inspired by human processing data. Equipping natural language processing (NLP) models with the ability to process idiomatic expressions is important for obtaining more accurate representations that can lead to gains in downstream tasks, such as machine translation (MT) and text simplification (TS). MIA targets a crucial limitation in standard NLP models, as idiomaticity is part of human communication, with potential benefits to applications that include natural language interfaces, like conversational agents, question answering and information retrieval systems. Host institution: The project is hosted by the Department of Computer Science at the University of Sheffield, a leading international center for research in the UK. We are ranked in the top five for research excellence as part of the 2014 Research Excellence Framework, with 92% of our research outputs being world-leading or internationally-excellent. Our research environment is the best in the country (as measured by the 4* and 3* REF environment score). The NLP and Speech and Hearing groups have over 60 academics, maintaining an active program of seminars, with exceptional facilities for research, and ample opportunities for collaboration. It is one of the largest and most successful NLP groups in Europe, with multiple worldwide collaborations. Sheffield is a vibrant city with a rich cultural life, with a large number of parks and the Peak District just nearby, perfect for outdoor activities and a high quality of life. Applications must be submitted using the University of Sheffield system. More information can be found here: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo… <https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo…> The University of Sheffield is an equal opportunity employer. Applicants from underrepresented minorities are highly encouraged to apply. Remote working arrangements will be discussed upon request. The Department of Computer Science holds a Silver Athena SWAN award, in recognition of our commitment to equality and diversity. Application Deadline: October 08, 2022 For informal enquiries about this job and the recruiting department, contact: Professor Aline Villavicencio on <>a.villavicencio(a)sheffield.ac.uk <mailto:a.villavicencio@sheffield.ac.uk>. For administration queries and details on the application process, contact the lead recruiter: Renata Goddard on <>com-researchrecruitment(a)sheffield.ac.uk <mailto:com-researchrecruitment@sheffield.ac.uk>. For all online application system queries and support, visit: www.sheffield.ac.uk/jobs/applying <http://www.sheffield.ac.uk/jobs/applying> ---------------------------------------------------- Prof. Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://sites.google.com/view/alinev https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio

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Postdoctoral fellow in computational linguistics / cognitive science at the Department of Psychology, Stockholm University
by Thomas Hörberg 21 Sep '22

21 Sep '22

The Department of Psychology at Stockholm University invites applications for a postdoctoral fellow in computational linguistics / cognitive science. The position involves a full-time employment for a maximum of two years, starting on November 1 2022, or as per agreement. The applicant will work in a research project that investigates crosslinguistic differences and similarities of smell vocabularies. In the project, smell vocabularies of diverse languages are mapped partly with the help of data-driven machine learning methods based on natural texts (i.e. text corpora), and partly based on more traditional lexical-typological, linguistic methods based on native speaker elicitations. Main responsibilities - analysis of text corpora using NLP methods, word embedding modeling, machine learning and similar methods - quantitative data analysis and visualisation - writing of scientific articles - possibly also experimental data collection Required qualifications - PhD in linguistics, cognitive science or similar, completed no more than three years before the application closing date (with some exceptions). - high-level skills in Python programming - documented experience in working with text corpora and various NLP methods and word space modeling (such as Word2Vec, BERT, GPT2) - documented experience of independent scientific work resulting in one or several publications in scientific journals or conference proceedings Desired qualifications - documented experience of machine learning and other statistical methods such as regression analysis, PCA, hierarchical clustering, or neural networks - documented experience of text data processing and pre-processing, compilation of data from different sources, data visualisation - documented experience of experimental or survey data collection - good collaboration skills, be innovative, solution-oriented and able to work independently - basic knowledge of linguistics and cognitive psychology Applications should include - contact details and personal data - highest degree - cover letter - CV – degrees and other completed courses, work experience and a list of publications - research proposal (no more than 3 pages) describing why you are interested in the project, how you wish to contribute, and why you are suitable for the project - copy of PhD diploma - letters of recommendation (no more than 3 files) - publications in support of your application (no more than 3 files) - language skills - contact details for 2–3 references Application deadline: 07-Oct-2022 Web adress for application: https://www.su.se/english/about-the-university/work-at-su/available-jobs?rm… Contact information Dr. Thomas Hörberg thomas.hoerberg(a)psychology.su.se

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[corpora-list] gentle reminder about ConsiLR
by Victoria Bobicev 21 Sep '22

21 Sep '22

Dear friends and colleagues! *Due to technical problems our site has been down for almost a week.* *Now it is back on place.* *This is why we repeat our last Call for papers for ConsILR-2022 * We kindly invite you to submit a paper for the 17th edition of The *International Conference on Linguistic Resources and Tools * *for Natural Language Processing* – ConsILR-2022 together with the 2nd *DeLORo Workshop*, which will jointly take place from the 10th to the 12th of November 2022, in Chișinău, Republic of Moldova and online. The deadlines for paper’ submissions have been extended: - *September 30, 2022 – paper submission;* - *October 12, 2022 – authors’ notification;* - *October 20, 2022 – final form submission;* We invite papers presenting original and unpublished research in all areas related to Linguistic Resources and Tools for Natural Language Processing. We call for contributions that range from theoretical, empirical and applied linguistics to computational models, from development of resources to their dedicated use for the improvement of the natural language technology, research related to any language or no one in particular; case studies, demos and review papers are also most welcome. We encourage research evidencing specific interest on the Romanian spoken or written language per se or in contrast with other languages or within its idioms, describing morphological, syntactic and semantic structures, pragmatic usage, multi-word expressions, culture-bound or nature-related, the formation of the modern Romanian language, etc. Submitted papers can include descriptions of accomplished or in progress work. The joint DeLORo <http://deloro.iit.academiaromana-is.ro/> event is rooted in a nationally funded project aiming to build a technology capable of automatically transcribing Romanian documents written in Cyrillic into their Latin equivalents, in order to be placed at the base of future linguistic and semantic studies of the Romanian language. The 2nd DeLORo workshop will take place in the 3rd day of the ConsILR conference. Participants not involved in the project are also welcome. Authors are encouraged to also submit, additional to the papers *per se*, open-source linguistic resources, such as corpora (or corpus examples), demo code, videos and sound files. Further information can be found on the conference web site https://profs.info.uaic.ro/~consilr/2022/ On behalf of the conference organizers, Victoria Bobicev, Technical University of Moldova. *The ConsILR-2022 Conference is dedicated to* *the Ukrainian scientists! * *Their participation is tax free. *

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North African in ML affinity group workshop at NeurIPS 2022 (Deadline extended)
by Nedjma OUSIDHOUM 21 Sep '22

21 Sep '22

Dear colleagues, We are pleased to invite you to the North Africans in ML affinity group workshop <https://sites.google.com/view/northafricansinml/cfp>, which will take place at NeurIPS 2022. The workshop will include talks, poster sessions, as well as a shared task relating to ML in North Africa. We will have both archival and non-archival tracks and invited talks. Junior researchers and students interested in NLP from North African institutions and beyond (academia and industry) are welcome to present their new work as well as completed or ongoing research projects or ideas. All nationalities are welcome! Authors of non-archival papers can choose to have their abstracts, bios, and posters posted on our website. NeurIPS D&I will provide some travel grants and registration fee waivers to the participants. Please note that all participants are encouraged to apply for NeurIPS registration fee waivers. We welcome submissions related to any topic of Machine Learning and NLP. You can visit our website: https://sites.google.com/view/northafricansinml/. *Important dates* Oct 14th: Extended abstract (2 pages), short (4 pages) and long (8 pages) paper submission deadline Nov 1st: Notification of acceptance Nov 15th: Camera ready submission deadline Nov 15th: Poster submission deadline Dec 5th: Virtual Workshop Shared Task tentative schedule Aug 15th: Registration opens (https://forms.gle/zdZgkNZovFwm9BEX7) Sept 25th: Releasing the training data Oct 10th: Releasing the dev data Nov 8th: Releasing the test data Nov 10th: System submission deadline Nov 15th: System description paper deadline Nov 15th: Poster submission deadline Dec 5th: Virtual Workshop Best regards, The organisers.

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Faculty recruiting at several universities in Australia
by Jonathan K Kummerfeld 21 Sep '22

21 Sep '22

Several top Australian universities are recruiting new faculty. All are tenure-track research positions, though the position titles in Australia are slightly different: University of Sydney - https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown… University of Melbourne - https://jobs.unimelb.edu.au/caw/en/job/909798/lecturer-senior-lecturer-in-m… - https://jobs.unimelb.edu.au/caw/en/job/909837/senior-lecturer-associate-pro… Australian National University - https://jobs.anu.edu.au/en/job/540228 All three are excellent institutions. If you have questions about Sydney (where I just started), please reach out! Jonathan Kummerfeld -- Senior Lecturer (ie. research tenure-track Asst. Prof.) University of Sydney e: j.k.kummerfeld(a)gmail.com w: www.jkk.name

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PhD Position in Document-Level Machine Translation Evaluation (Dublin City University)
by Sheila Castilho M de Sousa 20 Sep '22

20 Sep '22

We are please to announce the following *PhD Position *in the are of Machine Translation Evaluation at the ADAPT Centre and the School of Applied Language and Intercultural Studies in Dublin City University, Ireland. *Minimum qualifications:* - Bachelors in Translation, Natural Language Processing or related fields with knowledge of Machine Translation evaluation. - English language requirements for non-native speakers of English is available here, under Post Graduate>>Faculty of Humanities and Social Science: https://www.dcu.ie/registry/english-language-requirements-non-native-speake… *Preferred qualifications:* - Masters in Translation Technologies, Machine Translation, Natural Language Processing or related fields. - Experience with machine translation evaluation. *Application Process:* As part of your application you will be required to submit: - A letter of introduction (max 1500 words). In the letter, applicants should include the following details: - An explanation of your interest in this research, highlighting why you think you are a suitable candidate. - Highlight any experience you have with machine translation evaluation, or any other relevant experience e.g., working as a translator/linguist, MT developer, or any relevant projects in the area. - Details of your final year undergraduate project (if applicable), and or of your MSc project (if applicable). - Details of any relevant modules previously taken, at undergraduate and/or Master level. - Details of any relevant work experience (if applicable) - Detailed CV, including – if applicable – relevant publications; - Transcripts of degrees *Application deadline:* 14th of October 2022 *Enquiries*: sheila.castilho(a)dcu.ie More details and application form can be found here: https://www.adaptcentre.ie/careers/phd-in-document-level-human-evaluation-o… *----* *Sheila Castilho* Ollamh Cúnta | Scoil na dTeangacha Feidhmeacha & Staidéar Idirchultúrtha | Ollscoil Chathair Bhaile Átha Cliath Assistant Professor | School of Applied Language and Intercultural Studies | Dublin City University ADAPT Centre - Tel: + 353 1 700 5832 -- __ Séanadh Ríomhphoist/_ Email Disclaimer__ ** Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://www.dcu.ie/iss/seanadh-riomhphoist.shtml> <https://www4.dcu.ie/iss/seanadh-riomhphoist.shtml>* _ This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://www.dcu.ie/iss/email-disclaimer.shtml> _ *_

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Full Professor position in Fundamentals of Natural Language Processing at University of Bamberg, Deadline 19 October
by Stefan Ultes 20 Sep '22

20 Sep '22

We would like to draw your attention to the open call for a full-time academic position as Full Professor (m/f/d) of Fundamentals of Natural Language Processing (W3 salary level) at the University of Bamberg, Germany. Application deadline is 19 October 2022. For more details and how to apply, please refer to https://www.uni-bamberg.de/en/abt-personal/stellenausschreibung/professorsh… or directly to https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St… Queries regarding the position as such can be addressed to Prof. Dr. Andreas Henrich (andreas.henrich(a)uni-bamberg.de). -- Prof. Dr.-Ing. Stefan Ultes Chair of Language Generation and Dialogue Systems University of Bamberg Bamberg, Germany stefan.ultes(a)uni-bamberg.de

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Research Associate – Natural Language Processing @ UCREL, Lancaster
by Rayson, Paul 20 Sep '22

20 Sep '22

Research Associate – Natural Language Processing School of Computing and Communications Salary: Grade 6 £29,619 to £34,308 Closing Date: 30 September 2022 Interview Date: 17 October 2022 Reference: 0965-22 https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0965-22 The School of Computing and Communications (SCC) within Lancaster University’s Faculty of Science and Technology, is seeking to appoint a Research Associate (RA) to work on a new large five year long (nine million euros in total across sixteen partners) EU Horizon Project: Design-based Data-driven Decision-support Tools: Producing Improved Cancer Outcomes Through User-centered Research (4D PICTURE Project). Treatment decision-making by patients with cancer, their significant others, and clinicians can be complex, in particular when a choice has to be made between different treatment regimens with different risk profiles, potential outcomes, and effects on survival and quality of life. Decision making is often complicated through inefficient care paths, including logistic problems and lack of overview of the entire treatment trajectory including unclear responsibilities and inconsistency in information provision to patients. Recent research highlights that such inefficient care paths hinder patients with cancer and their significant others in treatment decision-making, leading to high levels of stress, fear, disempowerment, and unwanted dependence on healthcare professionals. Decision-support tools, which are computer-based tools developed to support decision analysis and participatory processes, have the potential to lead to improved access to innovative, high-quality, oncological care, enhanced patient empowerment, better treatment adherence, better health outcomes, and more health equity. The central aim of the 4D PICTURE project is to transform health care delivery decision-making processes in oncology by redesigning patients’ care paths and integrating evidence-based decision-support tools. The care paths will be redesigned to enable effective integration of these tools to facilitate the complexities of decision making with and for cancer patients. To achieve this aim, we will further develop a promising service design methodology to redesign care paths, called MetroMapping. Lancaster University will be leading on a work package to develop a conversation tool (based on our prior work on the metaphor menu, and the Metaphor in End of Life Care (MELC) project) for cancer patients, their significant others, their clinicians and citizens based on text mining analyses of patient experience ‘big’ data and citizen science methods. To that end, we will apply an interdisciplinary approach that combines the strengths of AI-tools (text mining / natural language processing (NLP) techniques), corpus linguistics, and qualitative (narrative) research to efficiently convert the stories of experience of people with cancer and their significant others into usable knowledge about how they experience their care trajectory. Our methodology embeds citizen science, or patient and public involvement (PPI), at its core. Working together with multiple project partners, the SCC RA will contribute to multilingual (English, Dutch, Danish and Spanish) data collection from multiple sources, exploratory data analysis using a variety of corpus-based NLP techniques, mapping patient vocabulary to clinical language, and machine learning tasks to train classifiers on human-labelled data. The RA will be part of an internationally recognised centre of expertise for corpus-based natural language processing (UCREL), and will work directly with Professor Paul Rayson in SCC, Professor Elena Semino (Linguistics) and Professor Sheila Payne (Health and Medicine). For more details, please see the associated job description and person specification for this position. Potential candidates can also make informal enquiries to Professor Paul Rayson (p.rayson(a)lancaster.ac.uk). This is a full-time position expected to start as soon as possible from October 2022, and the RA will join on an indefinite contract, however the role remains contingent on external funding, which for this position ends 30th September 2027. Flexible working arrangements may be possible, and there are possibilities to undertake a PhD on related topics during the project. Lancaster University are committed to family-friendly and flexible working policies on an individual basis. The School is also an Athena Swan Bronze Award holder, driving good employment practice and initiatives to address gender inequalities in Computing higher education and research. We welcome applications from people in all diversity groups. -- Paul Rayson Director of UCREL and Professor of Natural Language Processing Group Lead (SCC Data Science) School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK. Web: http://www.research.lancs.ac.uk/portal/en/people/Paul-Rayson/ Tel: +44 1524 510357 Contact me on Teams<https://teams.microsoft.com/l/chat/0/0?users=p.rayson@lancaster.ac.uk>

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3-year postdoc position in Large-Scale Natural Language Processing at the University of Oslo, Norway
by Andrey Kutuzov 20 Sep '22

20 Sep '22

[with apologies for cross-posting] The Language Technology Group (LTG) at the University of Oslo offers a fully funded postdoctoral fellowship for a duration of 3 years. This position is a part of a new EU Horizon project titled “High-Performance Language Technologies” (HPLT). HPLT is a collaboration between 5 universities (Oslo, Edinburgh, Helsinki, Prague and Turku), 2 high-performance computing centers (Uninett Sigma2 in Norway and Cesnet in the Czech Republic), and one Spanish company (Prompsit) on the development of language and translation models at scale. The project aims at continuous integration of pre-trained language models and data, resulting in free downloadable high-quality models for all official European Union languages and beyond. With a strong focus on multi-linguality, reproducibility, openness and scale, HPLT will allow easy discovery and access to corpora, models and code. We are looking for a postdoctoral fellow interested in processing and maintaining very large troves of natural language data (in particular, significant parts of the Internet Archive). These corpora and datasets will be used for training, updating, evaluating and publicly serving state-of-the-art language models for European languages (both monolingual and multilingual). This includes developing and refining automated replicable software installations across high-performance computing (HPC) systems, notably the new LUMI European pre-exascale supercomputer. The successful candidate will join the HPLT project team and enjoy an active role in the consortium. Applicants must hold a degree equivalent to a Norwegian doctoral degree in Natural Language Processing, Computational Linguistics, or Computer Science with a suitable specialization. Candidates whose doctoral thesis has been submitted for evaluation by the closing date are encouraged to apply. Only applicants with an approved doctoral thesis and public defense prior to the start date will be eligible for appointment. The application deadline is September 23, 2022. Starting date subject to discussion, but no later than February 1, 2023. For more information, please see the full announcement and application form here: https://www.jobbnorge.no/en/available-jobs/job/231118/postdoctoral-research… Please do not hesitate to contact us for any further information: - postdoctoral fellow Andrey Kutuzov: andreku(a)ifi.uio.no - professor Stephan Oepen: oe(a)ifi.uio.no -- Andrey Postdoctoral Fellow Language Technology Group (LTG) University of Oslo

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Call for papers ConsiLR
by Victoria Bobicev 20 Sep '22

20 Sep '22

Dear friends and colleagues! *Due to technical problems our site has been down for almost a week.* *Now it is back on place.* *This is why we repeat our last Call for papers for ConsILR-2022 * We kindly invite you to submit a paper for the 17th edition of The *International Conference on Linguistic Resources and Tools * *for Natural Language Processing* – ConsILR-2022 together with the 2nd *DeLORo Workshop*, which will jointly take place from the 10th to the 12th of November 2022, in Chișinău, Republic of Moldova and online. The deadlines for paper’ submissions have been extended: - *September 23, 2022 – abstracts submission (max 300 words);* - *September 30, 2022 – paper submission;* - *October 12, 2022 – authors’ notification;* - *October 20, 2022 – final form submission;* We invite papers presenting original and unpublished research in all areas related to Linguistic Resources and Tools for Natural Language Processing. We call for contributions that range from theoretical, empirical and applied linguistics to computational models, from development of resources to their dedicated use for the improvement of the natural language technology, research related to any language or no one in particular; case studies, demos and review papers are also most welcome. We encourage research evidencing specific interest on the Romanian spoken or written language per se or in contrast with other languages or within its idioms, describing morphological, syntactic and semantic structures, pragmatic usage, multi-word expressions, culture-bound or nature-related, the formation of the modern Romanian language, etc. Submitted papers can include descriptions of accomplished or in progress work. The joint DeLORo <http://deloro.iit.academiaromana-is.ro/> event is rooted in a nationally funded project aiming to build a technology capable of automatically transcribing Romanian documents written in Cyrillic into their Latin equivalents, in order to be placed at the base of future linguistic and semantic studies of the Romanian language. The 2nd DeLORo workshop will take place in the 3rd day of the ConsILR conference. Participants not involved in the project are also welcome. Authors are encouraged to also submit, additional to the papers *per se*, open-source linguistic resources, such as corpora (or corpus examples), demo code, videos and sound files. Further information can be found on the conference web site https://profs.info.uaic.ro/~consilr/2022/ On behalf of the conference organizers, Victoria Bobicev, Technical University of Moldova. *The ConsILR-2022 Conference is dedicated to* *the Ukrainian scientists! * *Their participation is tax free. *

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