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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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Special issue DSTC9&10 on IEEE-ACM TASLP (Due Oct 15, 202)
by Luis Fernando D'Haro 20 Sep '22

20 Sep '22

=========================================================================================== IEEE/ACM TASLP Joint Special Issue on the Ninth and Tenth Dialog System Technology Challenge Call for Participation Websites: https://signalprocessingsociety.org/blog/ieee-acmtaslp-special-issue-ninth-… https://dstc10.dstc.community/call-for-talsp-papers =========================================================================================== The Dialog System Technology Challenge (DSTC) is an ongoing series of research competitions for dialog systems. To accelerate the development of new dialog technologies, the DSTCs have provided common testbeds for various research problems. The Ninth and Tenth Dialog System Technology Challenge (DSTC9&10) consist of the following nine main tracks. DSTC9: -Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access -Multi-domain Task-oriented Dialog Challenge II -Interactive Evaluation of Dialog -SIMMC: Situated Interactive Multi-Modal Conversational AI DSTC10: -MOD: Internet Meme Incorporated Open-domain Dialog -Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations -SIMMC 2.0: Situated Interactive Multimodal Conversational AI -Reasoning for Audio Visual Scene-Aware Dialog -Automatic Evaluation and Moderation of Open-domain Dialogue Systems This special issue will host work on any of the DSTC9&10 tasks. Papers may describe entries in the official DSTC9&10 challenge, or any research utilizing their datasets irrespective of the participation in the official challenge. We also welcome papers that analyze the DSTC9&10 tasks or results themselves. Finally, we also invite papers on previous DSTC tasks as well as general technical papers on any dialog-related research problems. Submission requirements ----------------------- You can get the author guide from the following link: https://signalprocessingsociety.org/publications-resources/information-auth… <https://www.google.com/url?q=https%3A%2F%2Fsignalprocessingsociety.org%2Fpu…> Submission site ----------------------- Submit your paper at mc.manuscriptcentral.com/tasl-ieee Important Dates ----------------------- -Manuscript submission date: October 15, 2022 -First Review Completed: December 15, 2022 -Revised Manuscript Due: January 15, 2023 -Second Review Completed: March 15, 2023 -Final Manuscript Due: April 30, 2023 -Expected publication date: July 2023 CONTACT ------- For any query regarding this special issue please contact steering(a)dstc.community Guest Editors Koichiro Yoshino, RIKEN, Japan Chulaka Gunasekara, IBM Research AI, USA

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CFP ACM TALLIP Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages
by Bharathi Raja Asoka Chakravarthi 20 Sep '22

20 Sep '22

*Apologies for cross-posting* *Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages * Link: https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang… * Aims, Scope and Objective of Special Issue: * Our everyday lives have become more reliant on online platforms. Social media (Facebook, Twitter, Instagram), discussion websites (Reddit), messaging services (WhatsApp, Snapchat), blogs, forums, and online chats have all been used to spread ideas and data. Without a doubt, social media platforms like Facebook, Twitter, and Instagram benefit society by enabling individuals to express themselves and seek support from others in the online community. Additionally, these platforms have an unmistakable wrong side: cyberbullying, cyberstalking, cyberterrorism, e-bile, fake news, flaming, hate speech, impersonation, pornography, glorification of dangerous behavior (e.g., eating disorders), and trolling. Various news sites in recent years have recorded numerous incidences of suicide, grief, and fear. Additionally, although individuals from many linguistic origins are exposed to online social media, English remains at the forefront of continuing advances in language technology research. Recently, several study investigations on highly resourced languages, such as Arabic, German, Hindi, and Italian, have been done. However, more research on making social media platforms safer in low-resource Eurasian languages is still needed. This special issue aims to gather original research articles that add to the body of knowledge about the use of intelligent natural language systems to build a safer social media environment in low-resource Eurasian languages. Topics Among the special issue's topics of interest are the following: - • Early detection of radicalization in low-resource Eurasian languages • Mechanisms for recognizing and preventing cyber predators in low-resource Eurasian languages • Identifying and resolving hate speech (abusive language, cyberbullying, etc.) in low-resource Eurasian languages • Simulated propagation and transmission of potentially harmful information via social media in low-resource Eurasian languages • Data collection and annotation methodologies for to safer social media in low resourced Eurasian languages • Content moderation strategies in low-resource Eurasian languages • Cybersecurity and social media in low-resource Eurasian languages • Fake news detection in low-resource Eurasian languages * Important Dates • Submissions deadline: 10 February 2023 * with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en <https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Pred…>

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Job: Research Associate – Natural Language Processing @ UCREL, Lancaster University
by Mahmoud El-Haj 20 Sep '22

20 Sep '22

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Staff Scientist position at NLM
by ddemner＠gmail.com 19 Sep '22

19 Sep '22

*STAFF SCIENTIST 1 IN BIOMEDICAL NATURAL LANGUAGE PROCESSING* NATIONAL LIBRARY OF MEDICINE, BETHESDA, MARYLAND *POSITION INFORMATION: * The National Library of Medicine (NLM), Lister Hill National Center for Biomedical Communication (LHNCBC) is recruiting for a Staff Scientist 1. The position is in the Computational Health Research Branch (CHRB), which is a part of the Intramural Research Program (IRP). NLM is one of 27 Institutes at the National Institutes of Health (NIH), part of the Department of Health and Human Services (DHHS). NLM IRP is looking for an outstanding candidate with extensive experience in biomedical natural language processing (NLP) with commitment to the biomedical informatics research in areas of fostering and applying discoveries. The responsibilities of this position will include the following activities: · conducting research in the general area of linking electronic medical data (focusing on NLP of narrative documentation) with biological/genomic data; · advancing text mining research, semantic parsing, and machine learning methods; · developing NLP methods for precision medicine; · providing consultation related to informatics applications for clinical decision support; · establishing collaborations with external entities and institutions; and, · working with and mentoring students and post-doctoral fellows. *POSITION REQUIRMENTS: * The ideal candidate may or may not be a United States citizen and must have a doctoral degree. We are looking for an individual with: · a Ph.D. or equivalent in computer science, related disciplines biomedical, or clinical informatics; · experience and a track record in natural language processing research applied to biomedicine documented by peer-reviewed publications; · demonstrated ability to work closely and productively with other research teams; and, · demonstrated ability to initiate and successfully conduct research. *FOREIGN EDUCATION:* Applicants who have completed part or all their education outside of the U.S. must have their foreign education evaluated by an accredited organization to ensure that the foreign education is equivalent to education received in accredited educational institutions in the United States. We will only accept the completed foreign education evaluation. For more information on foreign education verification, visit the National Association of Credential Evaluation Services (NACES) website <https://www.naces.org/>. Verification must be received prior to the effective date of the appointment. Employees, contractors, trainees, and volunteers providing healthcare or services in support of healthcare (Healthcare Workforce) may be required to receive a COVID-19 vaccine because they are expected to perform duties that put them in contact or potential contact with patients. We may request COVID-19 vaccination, and other vaccination documentation from Healthcare Workforce personnel at any point during the onboarding process or at any time during your employment with NIH. For more information on this requirement, visit the Safer Federal Workforce <https://www.saferfederalworkforce.gov/faq/vaccinations/> page on vaccines. If you need a COVID-19 vaccine, please visit Vaccines.gov <https://www.vaccines.gov/>. *SALARY/BENEFITS:* This non-competitive appointment in the excepted service is like a federal full-time position. Salary will be commensurate with experience and qualifications. A full package of benefits <https://www.opm.gov/healthcare-insurance/healthcare/enrollment/new-federal-…> is available. *HOW TO APPLY: * Interested individuals should send a copy of their CV with the names of three references along with a cover letter detailing research interests and evidence of engagement in multi-disciplinary collaborative research to maria.lugo(a)nih.gov. Please include the announcement number, NLM2452-2022, in the cover letter. Do not include your birth date, social security number (SSN), or personal photograph on application materials. Review of applications will begin on September 29, 2022. Applications will be accepted until the position is filled. *COMMITMENT TO DIVERSITY AND EQUAL EMPLOYMENT OPPORTUNITY:* NIH/NLM encourages the application and nomination of qualified women, minorities, and individuals with disabilities. The U.S. government does not discriminate in employment based on race, color, religion, sex (including sexual orientation, pregnancy, and gender identity), national origin, political affiliation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. NIH/NLM will provide reasonable accommodations to applicants with disabilities as appropriate. If you require reasonable accommodation during any part of the application and hiring process, please notify us. *DHHS, NIH, and NLM are equal opportunity employers*

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