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Second Call for Participation: Second WMT Shared Task on Sign Language Translation (WMT-SLT 23)
by Eleftherios Avramidis 21 Jul '23

21 Jul '23

WMT-SLT 4: Motivation 2023 <https://www.youtube.com/watch?v=QjqBiRH0e_0&t=12s> WMT-SLT 5: Summary 2023 <https://www.youtube.com/watch?v=ngUDIZDvzvY&t=143s> We are excited to announce the second edition of the Shared Task on Sign Language Translation (WMT-SLT 23) at WMT 2023, co-located with EMNLP 2023. *NEW DEVELOPMENTS SINCE THE FIRST CALL* (1) Release of all our provided training data (2) Release of baseline systems *OVERVIEW* This shared task is concerned with automatic translation between signed and spoken languages. The task requires processing visual information (such as video and poses) beyond the well-known paradigm of text-to-text machine translation. This year the shared task features two tracks: translation from a signed language to a spoken language (signed-to-spoken track) and vice versa (spoken-to-signed track). We cover the following translation directions: signed-to-spoken: * Swiss German Sign Language (DSGS) to German (DE) spoken-to-signed: * German (DE) to Swiss German Sign Language (DSGS) * French (FR) to French Sign Language (LSF) * Italian (IT) to Italian Sign Language (LIS) We provide training data and baseline systems for all translation directions above. Submissions to the signed-to-spoken track will be ranked on a leaderboard. Submissions to the spoken-to-signed track are not ranked on the leaderboard while the task is running, but we still encourage participants to submit such systems. We aim to provide human evaluation for all submitted systems, regardless of the translation direction. We will ask participants to submit a system description paper to WMT 2023. *IMPORTANT DATES* * 22 June 2023: Release of training and development data * 22 June 2023: Release of baseline systems * 01 August 2023: Release of test data * 01 August 2023: System submission opens * 15 August 2023: System submission deadline * 05 September 2023: Paper submission deadline * 06 October 2023: Paper acceptance notification * 18 October 2023: Camera-ready version due * 6 - 7 December 2023: Overview of results at WMT All deadlines are AoE (Anywhere on Earth). Dates are in line with general deadlines of WMT. *ORGANIZERS* * Mathias Müller, University of Zurich * Sarah Ebling, University of Zurich and ZHAW Winterthur * Eleftherios Avramidis, DFKI Berlin * Cristina España-Bonet, DFKI Saarbrücken * Dimitar Shterionov, Tilburg University * Amit Moryossef, Bar-Ilan University / University of Zurich * Zifan Jiang, University of Zurich * Oscar Koller, Microsoft * Necati Cihan Camgoz, Meta * Roman Grundkiewicz, Microsoft * Davy Van Landuyt, European Union of the Deaf * Annelies Braffort, CNRS and Paris-Saclay University * Richard Bowden, University of Surrey * Anne Goehring, University of Zurich * Annette Rios, University of Zurich * Malihe Alikhani, University of Pittsburgh * Mert Inan, University of Pittsburgh *MORE INFORMATION* For more information, please visit our website: www.wmt-slt.com <http://www.wmt-slt.com> If you have any comments and/or questions, do not hesitate to contact us: wmt-tasks(a)googlegroups.com -- Dr. phil. Avramidis, Eleftherios 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 Web:http://www.dfki.de/~elav01 ------------------------------------------------------------- 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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Open Job Positions: Lecturer (~Assistant Professor) in AI and Data Science
by Ingo Frommholz 20 Jul '23

20 Jul '23

The School of Engineering, Computing and Mathematical Sciences at the University of Wolverhampton in the UK is seeking to recruit two enthusiastic individuals to fill the role of Lecturer in Computer Science (Artificial Intelligence and Data Science). This is also relevant for people working in Information Retrieval and Natural Language Processing. You must hold a Master's degree (or equivalent) in Artificial Intelligence or Data Science, or a very closely related subject, and exhibit a commitment to the organisation and delivery of undergraduate and postgraduate programmes across the Department's subject areas, with a particular focus on Artificial Intelligence and Data Science. Membership in a professional body is a prerequisite. A PhD in Artificial Intelligence or Data Science would be highly desirable. More information and relevant links are available at https://jobs.wlv.ac.uk/vacancy/lecturer-in-artificial-intelligence-and-data…. You can also email Ingo Frommholz (i.frommholz(a)wlv.ac.uk) if you are interested. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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Two Research Associate positions in the project “Young German Learner English: Complexity, Accuracy, Fluency”
by Robert Fuchs 20 Jul '23

20 Jul '23

We are happy to announce two positions as Research Associate in English Linguistics (m/f/d) (65% of regular working hours; pay group 13 TV-L) The positions have a start date of 1 November 2023 and are limited until 31 October 2026. Information on the project: The employment is in the project “Young German Learner English: Complexity, Accuracy, Fluency”, funded by the German Research Foundation. The project is a joint venture among the universities of Bamberg, Hamburg and Freiburg. It aims at the empirical analysis of complexity, accuracy and fluency as important constructs in the study of second language acquisition. To this end, a corpus of spoken and written production data from learners of English as a foreign language will be completed and annotated. In this corpus, the aforementioned constructs and their interactions will be investigated and contextual and social factors (e.g. motivation, socio-economic status) will be included in order to model the course of second language acquisition of English in the German context. The knowledge gained in this applied project will be used in the training of teachers as well as in the optimization of the development of textbooks and materials. Task description: The main tasks of the research associate are research-related and will comprise scientific and organizational support of the principal investigators, independent planning and implementation of data collection at schools, linguistic annotation and analysis of corpus data, as well as engaging in related publication activities. One of the posts is located at the University of Hamburg and supervised by Prof. Dr. Robert Fuchs. The other post is located at the University of Bamberg and supervised by PD Dr. Valentin Werner. We welcome applications from people from diverse backgrounds. For details on the specific requirements, desired qualifications and respective application procedures please refer to the relevant job ads: For the position in Hamburg: German version: https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=3d2dafc… English version: https://www.uni-hamburg.de/en/stellenangebote/ausschreibung.html?jobID=7f27… For the position in Bamberg: https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St… Application deadline: 15 August 2023 for the position in Bamberg and 24 August 2023 for the position in Hamburg -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs <https://uni-hamburg.academia.edu/RobertFuchs> | https://sites.google.com/view/rflinguistics/ <https://sites.google.com/view/rflinguistics/> Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join <https://groups.google.com/forum/#!forum/var-eng/join> Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/ <https://lamapoll.de/englishusageofnonnativespeakers-1/>

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Workshop DiSLiDaS 2023
by Purificação Silvano 20 Jul '23

20 Jul '23

Second Workshop DISLiDAS 2023 Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing Vienna, Austria, University of Vienna Website: http://dislidas.mozajka.co Date: 13 September 2023 Zoom link: TBA The Cost Action CA18209 NexusLinguarum (https://nexuslinguarum.eu) invites you to attend the Second Workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing – DiSLiDaS 2023, organized as part of LDK 2023 (http://2023.ldk-conf.org). We are glad to announce that the program features one keynote (in-person), Professor Johan Bos, and seven oral presentations. DiSLiDaS 2023 will be a hybrid event (in-person and online) open to anyone interested in the thematic. If you have not yet registered, please contact the LDK’s local organizers per e-mail (dagmar.gromann(a)gmail.com; barbara.heinisch(a)univie.ac.at). Online participation is still possible, but also requires prior registration. The registration form (https://ldk-registration.univie.ac.at) for online participation will be open until 3rd September 2023. We are very much looking forward to seeing you in Vienna. Program (All times are CEST - UTC+2) 9:15 Opening remarks 9:30-10:00 Adopting ISO 24617-8 for Discourse Relations Annotation in Polish: Challenges and Future Directions, Sebastian Żurowski, Daniel Ziembicki, Aleksandra Tomaszewska, Maciej Ogrodniczuk and Agata Drozd 10:00-10:30 Testing the Continuity Hypothesis: A decompositional approach, Debopam Das and Markus Egg 10:30-11:00 DRIPPS: a Corpus with Discourse Relations in Perfect Participial Sentences, Purificação Silvano, António Leal, João Cordeiro e Sebastaião Pais 11:00-11:30 Coffee break 11:30-12:30 Invited Talk: Johan Bos – A Simple Annotation Scheme for Annotating the Meaning of Discourse 12:30-14:00 Lunch break 14:00-14:30 Validation of Language Agnostic Models for Discourse Marker Detection, Mariana Damova, Giedre Valunaite Oleskeviciene, Kostadin Mishev, Purificação Silvano, Dimitar Trajanov, Ciprian-Octavian Truică, Chaya Liebeskind, Elena-Simona Apostol, Anna Baczkowska and Christian Chiarcos 14:30-15:00 An Algorithm for Pythonizing Rhetorical Structures, Andrew Potter 15:00-15:30 Lexical Retrieval Hypothesis in Multimodal Context, Wang Po-Ya Angela, Pin-Er Chen, Hsin-Yu Chou, Yu-Hsiang Tseng and Shu-Kai Hsieh 15:30-16:00 The shaping of the narrative on migration: A corpus assisted quantitative discourse analysis of the impact of the divisive media framing of migrants in Korea, Clara Delort and Jo Eun-Kyoung 16:00-16:30 Coffee break 16:30-17:00 Discussion 17:00-17:15 Closing remarks

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Call For Participation - PLABA @ TAC 2023
by Ondov, Brian (NIH/NLM/LHC) [F] 20 Jul '23

20 Jul '23

We are pleased to announce the inaugural offering of the Plain Language Adaptation of Biomedical Abstracts (PLABA) track, as part of the 2023 Text Analysis Conference (TAC) hosted by the U.S. National Institute of Standards and Technology (NIST). This track is an opportunity to showcase your cutting-edge research on an important topic, and to take advantage of large amounts of expert annotated data and manual evaluation. Background: Deficits of Health Literacy are linked to worse outcomes and drive health disparities. Though unprecedented amounts of biomedical knowledge are available online, patients and caregivers face a type of “language barrier” when confronted with jargon and academic writing. Advances in language modeling have improved plain language generation, but the task of automatically and accurately adapting biomedical text for a general audience has thus far lacked high-quality, standardized benchmarks. Task: Systems will adapt biomedical abstracts to plain language. This includes substituting medical jargon, providing explanations for necessary terms, simplifying sentences, and other modifications. The training set is the publicly available PLABA dataset<https://doi.org/10.1038%2Fs41597-022-01920-3>, which contains 750 abstracts with manual, sentence-aligned adaptations for each, totaling more than 7k sentence pairs with document context. Evaluation: Participating systems will be evaluated on 400 held out abstracts, manually adapted four-fold by different annotators for robust automatic metrics. Additionally, a subset of system output will be manually evaluated along several axes to ensure they are accurate and faithful to the original, which is crucial for the biomedical domain. URL: https://bionlp.nlm.nih.gov/plaba2023/ Mailing list: https://groups.google.com/g/plaba2023 Key dates: Jul 19 – Evaluation data released Aug 16 – Submissions due Oct 18 – Results posted We look forward to your submissions.

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Announcing the ALTA 2023 Shared Task
by Diego Molla-Aliod 20 Jul '23

20 Jul '23

CALL FOR PARTICIPATION http://www.alta.asn.au/events/sharedtask2023<http://www.alta.asn.au/events/sharedtask2023> The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students. Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology. This year's shared task is fitting for the times we are living: Distinguish between human-generated and AI-generated text. The tentative key dates are: Right Now - Registration and release of training and development data 27 Sep 2023 - Release of test data 03 Oct 2023 - Deadline of submission of runs 06 Oct 2023 - Notification of results 25 Oct 2023 - Deadline of submission of system description 29 Nov - 1 Dec 2023 - Presentation of results at ALTA 2023 Details of the task and registration are available at the competition website (https://www.alta.asn.au/events/sharedtask2023<https://www.alta.asn.au/events/sharedtask2023>) Good luck! Diego -- Dr. Diego Mollá-Aliod Senior Lecturer School of Computing | Room 358 (Level 3), 4 Research Park Drive Macquarie University, NSW 2109, Australia T: +61 2 9850 9531 | F: +61 2 9850 9551 https://macquarie.zoom.us/my/diego.molla http://comp.mq.edu.au/~diego I acknowledge the traditional custodians of the land on which Macquarie University stands – the Wallumattagal clan of the Dharug nation – whose cultures and customs have nurtured and continue to nurture this land since time immemorial. I pay my respects to Elders past and present.

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BioCreative VIII Challenge and Workshop 2nd Call for Participation
by Islamaj, Rezarta (NIH/NLM/NCBI) [E] 19 Jul '23

19 Jul '23

BioCreative VIII Challenge and Workshop 2nd Call for Participation Where, When: The BioCreative VIII workshop<BioCreative%20VIII%20workshop> will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA. BioCreative VIII: The VIIIth BioCreative workshop seeks to attract researchers interested in automatic methods of extracting medically relevant information from clinical data and aims to bring together the medical NLP community and the health professionals community. The challenge tracks include: * BioRED (Biomedical Relation Extraction Dataset) Track will continue to address information extraction from biomedical literature * SYMPTEMIST (Symptom TExt Mining Shared Track) will focus on symptom extraction from clinical records in Spanish and multilingual corpus * Phenotype extraction (genetic conditions in pediatric patients) Track will address phenotype extraction from clinical records * Annotation Tool Track will focus on annotation tools that facilitate the job of domain experts by offering seamless integration with relevant ontologies and other features to improve efficiency (dataset provided). Workshop Proceedings and Special Issue: The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop. In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop. Participation: Teams can participate in one or more of these tracks. Team registration will continue until final commitment is requested by the individual tracks. To register a team go to the Registration form<https://urldefense.com/v3/__https:/forms.gle/cwEPevGPjrjm687z5__;!!KOmnBZxC…>. If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge(a)gmail.com<mailto:BiocreativeChallenge@gmail.com> BioCreative VIII Tracks: Track 1: BioRED (Biomedical Relation Extraction Dataset) Track. (Rezarta Islamaj and Zhiyong Lu) This track aims to foster the development of systems that automatically extract biomedical relations in journal articles, and the final resource -- freely available to the community -- will consist of 1000 MEDLINE articles fully annotated with biological and medically relevant entities, biomedical relations between them, and the novelty of the relation (whether the relation is a key point of the article versus background knowledge that can be found elsewhere). The participants will use the training data (600 articles) to design and develop their NLP systems to extract asserted relationships from free text and are encouraged to classify relations that are novel findings. In the BioCreative setting we will enrich the BioRED training dataset with 400 recently published MEDLINE articles fully annotated, bringing this valuable resource to 1000 articles. This track serves as a continuation of previous BioCreative Workshops that addressed the individual extraction of bio entities and/or specific relations such as disease-gene, protein-protein, or chemical-chemical, in biomedical articles. In contrast from previous challenges, this track calls for the extraction of all semantic relations expressed in the article and their novelty factor. Track 2: SYMPTEMIST (Symptom TExt Mining Shared Task) (Martin Krallinger) A considerable effort has been made to automatically extract from clinical texts relevant variables and concepts using advanced entity recognition approaches. Despite the importance of clinical signs and symptoms for diagnosis, prognosis and healthcare data analytics strategies, this kind of clinical entity has received far less attention when compared to other entity classes such as medications or diseases. To understand and characterize relationships between different symptoms, their onset, or associations of symptoms to diseases is a central question for medical research. Due to the complexity underlying the annotation process and normalization or mapping of symptom mentions to controlled vocabularies, very few datasets or corpora have been generated to train and evaluate advanced clinical named entity recognition systems. To foster the development, research and evaluation of semantic annotation strategies that can be useful for systematically extracting and harmonizing symptoms from clinical documents we propose the SYMPTEMIST track. We will invite researchers, health-tech professionals, NLP, and ontology experts to develop tools capable of detecting automatically mentions of clinical symptoms from clinical texts in Spanish and normalizing or mapping them to a widely used multilingual clinical vocabulary, namely SNOMED CT. For this task we will release a large collection of manually annotated symptoms mentions, together with detailed annotation guidelines, consistency analysis and additional resources. For this track we plan also to release a multilingual version of the corpus (English, Italian, Romanian, Catalan, Portuguese, French, Dutch, Swedish and Czech). This is a new challenge. Track 3: Phenotype extraction (genetic conditions in pediatric patients) (Graciela Gonzalez, Ian Campbell, Davy Weissenbacher) The dysmorphology physical examination is a critical component of the diagnostic evaluation in clinical genetics. This process catalogs often minor morphological differences of the patient's facial structure or body, but it may also identify more general medical signs such as neurologic dysfunction. The findings enable the correlation of the patient with known rare genetic diseases. Although the medical findings are key information, they are nearly always captured within the electronic health record (EHR) as unstructured free text, making them unavailable for downstream computational analysis. Advanced Natural Language Processing methods are therefore required to retrieve the information from the records. This is a new challenge. Track 4: Annotation Tool track (Rezarta Islamaj, Cecilia Arighi, Lynette Hirschman, Martin Krallinger, Graciela Gonzalez) Recognizing the need for freely available, time-saving tools that help build quality gold-standard resources, the goal of BioCreative 2023 Annotation Tool Track is to foster development of such biocuration annotation systems. This track calls for text mining developers to submit systems that are: 1) both publicly available, and offer local setup options to allow for data with privacy concerns, such as clinical records, 2) able to support team annotation, and collaboration between annotators to ensure data annotation quality, 3) able to annotate documents for triage, entities, and/or relations, and 4) able to integrate the selected ontology, and provide search capabilities/browsing, as well as suggestions to the curator for the selected ontology. A select number of systems will be showcased at the workshop. Organizing Committee * Dr. Rezarta Islamaj, National Library of Medicine * Dr. Cecilia Arighi, University of Delaware * Dr. Ian M. Campbell, Children Hospital of Philadelphia * Dr. Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center * Dr. Lynette Hirschman, MITRE * Dr. Martin Krallinger, Barcelona Supercomputing Center * Dr. Davy Weissenbacher, Cedars-Sinai Medical Center * Dr. Zhiyong Lu, National Library of Medicine

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[EVALITA 2023]: call for participation
by Giulia Venturi 19 Jul '23

19 Jul '23

[Apologies for multiples postings] ------------------------------------------------------------ CALL FOR PARTICIPATION EVALITA 2023 8th Evaluation Campaign of Natural Language Processing and Speech Tools for the Italian Language https://www.evalita.it/campaigns/evalita-2023/ 7-8th September 2023 University of Parma, Plesso di via D’Azeglio n. 85 Parma, Italy ------------------------------------------------------------ The EVALITA 2023 final workshop will be held in Parma on September 7-8th, 2023. REGISTRATION is now open: Early registration (until 21/08/2023): regular 80 €, student 60 € Late registration (after 21/08/2023): regular 100 €, student 80 € On site registrazione: regular 120 €, student 100 € Please note that EVALITA is an initiative of AILC (Associazione Italiana di Linguistica Computazionale). Therefore, in order to support the community, participants are requested to become members of AILC before registering to the workshop. Notice that the AILC annual membership expires December 31st. AILC membership fees can be found on the website of the association: https://www.ai-lc.it/en/memberships/ More information: https://www.evalita.it/campaigns/evalita-2023/workshop-registration/ Registration online system: https://www.ai-lc.it/en/evalita-registration-procedure/ TENTATIVE SCHEDULE https://www.evalita.it/campaigns/evalita-2023/final-workshop/workshop-progr… INVITED SPEAKER Julio Gonzalo, full professor of Computer Science at UNED (Universidad Nacional de Educación a Distancia, Madrid, Spain) VENUE https://www.evalita.it/campaigns/evalita-2023/final-workshop/venue/ EVALITA 2023 CHAIRS Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” – CNR) CONTACT evalita2023[AT]gmail.com FOLLOW US! Twitter: https://twitter.com/EVALITAcampaign

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Research Associate, Oldenburg, Germany
by Jörge Minula 19 Jul '23

19 Jul '23

Dear Members, I would like to bring to your attention the following research associate position in the Field of Psycholinguistics and hearing research at University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula --- The cluster of excellence Hearing4all: Models, Technology and Solutions for Diagnostics, Restoration and Support of Hearing at the Universität Oldenburg (in collaboration with Medizinische Hochschule Hannover and Leibniz Universität Hannover) is seeking to fill as soon as possible the position of a Research Associate (fulltime) in the Field of Psycholinguistics and hearing research (m/f/d) in the Department of Dutch, Faculty of Linguistics and Cultural Studies. The position is available from 1st of October 2023 (or as soon as possible after that) until 31st of December 2025. Salary is depending on previous experience and education (German TV-L E13 <https://lohntastik.de/od-rechner/tv-salary-calculator/TV-L/E-13/1>). The position is suitable for part-time work. A paramount goal of the cluster of excellence Hearing4all ( www.hearing4all.de) is to transform audiology into an "exact" science based on the interplay between experiment and theory as well as between basic science and clinical research. In the framework provided by the cluster the successful candidate is expected to contribute to the research goals of the cluster to research thread 1 "Auditory processing deficits throughout the lifespan", in which one of the goals is to identify the impact of hearing loss in young and old age on cognitive and language development and its decline. Specifically, the candidate is expected to do research on the interaction of hearing abilities and language processing/development. Candidates are expected to have PhD in the field of (psycho)- linguistics, psychology, or a related discipline (with a specialization in speech/language processing and/or language acquisition) and have shown their ability to perform excellent scientific work, usually demonstrated by the outstanding quality of their Doctorate/PhD research and a good publication record. Experience in hearing research is an advantage. We are seeking candidates with experience in statistical analysis as well as knowledge in at least one of the following methods/areas: language acquisition, online sentence processing, reaction time studies, eye tracking, ERP. Matlab skills, and/ or experience with E-prime will be helpful, as well as working knowledge of German. Since the positions entail close interdisciplinary cooperation with several other disciplines (audiology, psychology, physics), the willingness and ability to integrate methods, concepts and issues of the 'other' discipline into theories, concepts and methods current in one's own are required for successful work in this project. The University of Oldenburg is an equal opportunities employer. According to § 21 para. 3 of the legislation governing Higher Education in Lower Saxony (NHG), preference shall be given to female candidates in cases of equal qualification. The same applies to persons with disabilities. More information at: https://uol.de/stellen?stelle=69714

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Post-doc position on Multimodal Neural Web Page Segmentation, GREYC, France
by Mohammed Hasanuzzaman 19 Jul '23

19 Jul '23

Dear All, We have an exciting opportunity for highly motivated and talented researchers to apply for our Postdoctoral position at GREYC Research Centre (https://www.greyc.fr/en/home/), France. Since 2000, the GREYC has been a joint research unit associated with the French National Centre for Scientific Research (CNRS), the University of Caen Normandy (UNICAEN) and the Ecole Nationale Supérieure d’Ingénieurs de Caen (ENSICAEN). The GREYC lab realizes research works in the field of digital science with activities in image processing, machine learning, artificial intelligence, computer security, fundamental computer science, Web science, electronics. It has 7 research groups with faculty members from ENSICAEN, UNICAEN and CNRS, PhD students and administrative & technical members. The postdoctoral scholar will be working on Multimodal Neural Web Page Segmentation with a primary goal to detect the different zones of a web page. This interdisciplinary research project combines computer vision, natural language processing, and machine learning techniques to develop advanced algorithms capable of segmenting web pages into meaningful and semantically distinct regions. *Location: **GREYC Research Centre *(https://www.greyc.fr/en/home/)*, France* *Closing Date: **15 August*, *2023* *Benefits:* The successful candidate will receive a competitive salary and other benefits, as well as access to state-of-the-art research facilities and resources. The fellowship will be initially offered for 12-18 months, with the possibility of extension based on performance. *Eligibility Criteria:* Applicants interested in this position must meet the following criteria: - Hold a recent Ph.D. degree in Computer Science, Electrical Engineering, or a related field. - Demonstrate a strong research background in natural language processing or computer vision. - Possess a track record of publications in top-tier conferences/journals related to computer vision, NLP, or related areas. - Strong programming skills. - Excellent written and verbal communication and interpersonal skills. *Application Process:* Interested candidates can send an application with the following documents directly Prof. Gael Dias, email: gael.dias(a)unicaen.fr and Dr. Mohammed Hasanuzzaman, email: mohammed.hasanuzzaman(a)mtu.ie - Updated Curriculum Vitae (CV) with a list of publications. - A cover letter outlining research interests, relevant background, and motivation for applying. - Contact information for three academic referees who can provide recommendation letters. ------------------------------------------------------------------------------------------------------ *Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University <https://www.mtu.ie/> * *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *Member, Lero, the SFI Research Centre for Software <https://lero.ie/>**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language* Dept. of CS Munster Technological University Bishopstown campus Cork e: mohammed.hasanuzzaman(a)adaptcentre.ie <email(a)adaptcentre.ie>/ Ireland https://mohammedhasanuzzaman.github.io/ [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 19/07/23, 12:52:06

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