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Deepmind Academic Fellow - School of Computer Science - 3 year Post Doc vacancy leading to open position
by Mark Lee 05 Jul '23

05 Jul '23

Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £44,414 to £52,841 with potential progression once in post to £59,450 Grade 8 Full Time, Fixed Term contract up to August 2026 Closing date: 25th July 2023 Background The School of Computer Science at the University of Birmingham, UK, seeks to recruit a talented computer scientist for the role of DeepMind Academic Fellow. The Fellowship will enable an early career researcher to pursue three years of independent postdoctoral study in the fields of Computer Science (CS), Artificial Intelligence (AI) and interdisciplinary applications of AI. This Fellowship is open to early-career researchers who have recently completed a PhD in AI, CS, Machine Learning, Statistics or another relevant field. The University of Birmingham and DeepMind recognise that Black early-career researchers are particularly under-represented in this field at this level, and strongly encourage them to apply. The Deepmind Academic Fellow is funded for three years by a generous donation from Deepmind, a leading AI research organisation committed to solving intelligence to advance science and benefit humanity. The DeepMind Academic Fellowship programme is part of DeepMind’s commitment to increase diversity in AI by improving representation from currently under-represented demographic groups in academic positions in Computer Science and Artificial Intelligence at leading institutions, and to develop role models and ambassadors who will train the next generation of researchers. The Fellowship will provide opportunities to build experience and develop an independent research profile that will support the post holder in their progression into full academic or other research leadership roles in future. The Fellow will undertake an extensive Academic Development Programme of training and development opportunities related to research, teaching and knowledge transfer with time to reflect and develop, and the University will support the Fellow’s future career by transferring the Fellow to an open-ended Assistant Professor position (subject to meeting probationary criteria) following the initial three-year term. Summary of Role The Deepmind Academic Fellowship is an independent academic position and the Fellow will be expected to develop their own independent programme of research and outreach activities. The Fellow’s research will not be directed or influenced by DeepMind, but where research directions are aligned, DeepMind welcomes the opportunity to cooperate and collaborate with the Fellow. The Fellow will be invited to seminars and talks organised by DeepMind, and will be provided with opportunities for mentoring from both DeepMind researchers and academic staff at the University of Birmingham. Following the initial three-year period funded by Deepmind, the Fellow will be supported in transitioning into an open-ended Assistant Professor position (subject to meeting probationary criteria) which will include a full range of academic duties as part of a well-defined academic career framework. Informal enquires to Aad van Moorsel, email: a.vanmoorsel(a)bham.ac.uk<mailto:a.vanmoorsel@bham.ac.uk> Valuing excellence, sustaining investment We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working. To apply use https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6… With best regards, Mark Lee Professor of Artificial Intelligence School of Computer Science University of Birmingham www.cs.bham.ac.uk/~mgl<http://www.cs.bham.ac.uk/~mgl>

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Position available in Vicomtech - NLP researcher
by Montse Cuadros 05 Jul '23

05 Jul '23

**** We apologize for the multiple copies of this email **** *Vicomtech *(www.vicomtech.org) is a privately owned Applied Research Center specialized in Computer Graphics, Visual Computing, Interaction, Communications and Multimedia, located in *Donostia - San Sebastian* and *Bilbao *(Spain). With 6 technical departments and more than 200 researchers -including more than 70 PhDs- and more than 70 scientific publications per year, Vicomtech promotes the use of the latest state-of-the-art technologies in applications that support the innovation cycle in the companies and institutions of our environment, including those of the health and biotechnology sectors. With a strong focus on applied research on industrial problems, approximately 40% of the center's activity is carried out under contract, 24% in European projects -such as Horizon Europe- and 36% from national and local grants, mostly obtained from competitive calls. We are looking for a researcher with expertise in Natural Language Processing (NLP), and at the same time motivated by the transfer of this knowledge to companies and institutions through advanced research prototypes developed to solve real needs. The successful candidate will be part of the Department of Speech and Natural Language Technologies, participating in research projects at regional, national and European level and developing and applying technology for information retrieval, named entity detection, text classification, question-answering systems, automatic summarization and natural language understanding, mainly. *Applicants must have:* - Master's degree in Natural Language Processing or equivalent. - Good programming skills in Python. - Knowledge of Machine Learning, Deep Learning and Data Analytics. - Experience in using PLN technologies in real use cases. - Good spoken and written level of Spanish and English - Motivation to acquire knowledge and new technical skills on an ongoing basis - Interest in scientific research - Proactive attitude and ability to work as a team player *We value those candidates have:* - PhD in the field of PLN or similar. - Scientific articles published in conferences and/or journals in the field. - Knowledge of generative AI with large language models or LLMs - Experience with Machine Learning tools (Numpy, Scipy, ...) and NLP (Spacy, Fastext, Flair, ...) - Knowledge and experience in Deep Learning environments (Pytorch, Tensorflow, Transformers and Hugging face). - Linux development environments, GIT, Docker and web environments (Restful APIs, ...) *We offer:* - Joining a dynamic, innovative and leading Center in the field of Artificial Intelligence and Visual Computing & Interaction at international level with work centers in Donostia and Bilbao. - Multidisciplinary work team. - Creative freedom to conduct research aligned with the Center's management procedures. - Personal development through training and educational opportunities. - Career opportunities and professional progression. - Work-life balance policies to achieve a balance between work and family life. - Equal employment opportunities. *If you feel identified with us, please send us your CV.* -- [image: Vicomtech] <https://www.vicomtech.org> Dr. Montserrat Cuadros Oller Senior Researcher Speech and Natural Language Technologies mcuadros(a)vicomtech.org +(34) 943 30 92 30 The information contained in this electronic message is intended only for the personal and confidential use of the recipients. If you have received this e-mail by mistake, please, notify us and delete it. Avoid printing this message if it is not strictly necessary.

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[CfP] DBpedia Tutorial @ LDK conference on Sept 13
by Milan Dojchinovski & Julia Holze 05 Jul '23

05 Jul '23

Dear all, We are proud to announce that we will organize a tutorial at the Language, Data and Knowledge (LDK) conference on September 13, 2023 at 9am CEST. Over the past year, the DBpedia core team has consolidated a large amount of technology around DBpedia. This tutorial is targeted for developers (in particular of DBpedia Chapters) that wish to learn how to use the core DBpedia technology and in particular the DBpedia Knowledge Graph and the DBpedia Databus publishing platform. # Highlights It will cover the following topics: * DBpedia Knowledge Graph in the Nutshell * How to use the DBpedia Databus publishing platform * How to deploy local instance of the DBpedia Databus * … with many real-world practical use cases around these technologies # Quick Facts * Web URL: https://www.dbpedia.org/events/dbpedia-tutorial-at-ldk-2023/ <https://www.dbpedia.org/events/dbpedia-tutorial-at-ldk-2023/> * When: September 13, 2023 at 9:00-13:00 CEST * Where: The tutorial will be organized onsite but stream will also be provided. Registration is required though. Please register here to be part of the meeting: http://2023.ldk-conf.org/registration/ <http://2023.ldk-conf.org/registration/> * Databus: https://databus.dbpedia.org/ <https://databus.dbpedia.org/> # Registration * Attending the DBpedia Stack tutorial is free. Registration is required though. After the registration for the event, you will receive an email with more instructions. Please register here to be part of the meeting: http://2023.ldk-conf.org/registration/ <http://2023.ldk-conf.org/registration/> * _Please keep in mind that registration closes on the 10th of July 2023._ # Organisation * Milan Dojčinovski, InfAI, DBpedia Association, CTU * Jan Forberg, InfAI, DBpedia Association * Julia Holze, InfAI, DBpedia Association * Sebastian Hellmann, InfAI, DBpedia Association We are looking forward to meeting you! Kind regards, Milan & Julia on behalf of the DBpedia Association

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Fully-funded 3-years PhD position on information extraction for scholarly documents
by Florian Boudin 04 Jul '23

04 Jul '23

Fully-funded 3-years PhD position on information extraction for scholarly documents Keywords: Information Retrieval, Natural Language Processing Funded by the French National Centre for Scientific Research (CNRS) through the NaviTerm project. Salary is approx. 1700€ per month. Funds are secured for travels to international conferences. Location : Nantes, France Starting date is flexible, starting from 2023-09-01. Profile: a university degree (MSc) in Computer Science is required, with solid experience in deep learning. Interests in Natural Language Processing, information retrieval or artificial intelligence are a definite plus. Strong programming skills (Python) and excellent English skills are expected. Fluency in French is not required for admissions. PhD's research topic: this PhD falls within the context of scientific digital libraries (e.g. arXiv, Pubmed) and will focus on developing new terminological extraction models to simplify and ease the access to scientific knowledge. More specifically, the task will be to develop automated methods for extracting and structuring key terms from a collection of scientific articles which, combined with a faceted-search engine, will offer researchers a simple and rapid means of building exertise in a new field of research. Please send applications including motivation, curriculum vitae and certificates to Florian Boudin and/or Richard Dufour and/or Béatrice Daille by email via florian.boudin(a)univ-nantes.fr and/or richard.dufour(a)univ-nantes.fr and/or beatrice.daille(a)univ-nantes.fr. If your application is accepted, you will be offered an audition.

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19th IEEE eScience Conference (eScience 2023): Last Combo Call for Workshop Papers
by georgeangelos60＠gmail.com 04 Jul '23

04 Jul '23

*** Last Combo Call for Workshop Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023. eScience 2023 will host a number of workshops which will be co-located with the main conference on Monday, October 9 and Tuesday, October 10, 2023. The eScience conference has a long history of hosting well-attended workshops. These workshops share the goal of bringing together international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. Workshops play a crucial role in the conference by providing an opportunity for researchers and practitioners to present their work in a more focused way than the conference itself and to have in-depth discussions of particular topics of interest to the community. eScience 2023 will host the following workshops: ● 1st Workshop on cItizeN Science engagemenT based on Ict soLutions (INSTIL 2023) http://www.instil-science.eu ● 3rd Workshop on E-science ReseaRch leading tO negative Results (ERROR 2023) https://error-workshop.org ● 3rd Workshop on Reproducible Workflows, Data Management, and Security (ReWorDS 2023) https://sites.google.com/vols.utk.edu/rewords23/home ● 4th Global Research Platform (4GRP) Workshop https://www.theglobalresearchplatform.net ● IEEE International Workshop on Artificial Intelligence for Health (AI4Health 2023) https://www.ai4health.icar.cnr.it ● Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience (RSE-eScience-2023) https://us-rse.org/rse-escience-2023/ KEY DATES ● Workshop papers submission deadline: Defined per workshop ● Notification of acceptance: Defined per workshop ● IEEE proceedings camera ready: July 21, 2023 ● Workshop days: October 9-10, 2023 Deadlines refer to 23:59 in the AoE (Anywhere on Earth) time zone. ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee

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2nd CFP - Normalization of genetic phenotypes in Dysmorphology Physical Examination @ BioCreative VIII - track 3
by Davy Weissenbacher 04 Jul '23

04 Jul '23

*Task:* We call for automated systems to extract and normalize the findings in dysmorphology physical examinations. The dataset consists of 3136 de-identified observations with dysmorphic findings manually annotated and normalized with their corresponding Human Phenotype Ontology (HPO) terms. Both extraction and normalization are challenging. The extraction due to the descriptive style of the examinations which, for conciseness, report findings with disjoint and overlapping mentions. The normalization due to the large scale of the HPO ontology which requires a normalizer to learn the task without supervision since our training set does not provide examples of all terms in the HPO. See https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/ for details. *Motivation:* The dysmorphology physical examination catalogs minor morphological differences in patients’ bodies and may identify general medical signs such as neurologic dysfunction. Its findings enable correlations of patients with known rare genetic diseases and allow researchers to delineate undescribed genetic conditions. These medical findings are nearly always captured as unstructured free text within the electronic health record, making it unavailable for downstream computational analysis. Advanced Natural Language Processing methods are therefore required to retrieve the information from the records. *In short: * • 3136 de-identified observations with dysmorphic and normal findings manually annotated and normalized with their corresponding Human Phenotype Ontology terms • Baseline systems available (e.g. doc2HPO, NeuralCR, PhenoTagger, PhenoBERT, and txt2HPO) • Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351 • Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC [Apologies for cross-posting] Best regards, Davy

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Call For Participation: Machine Translation for Indian Languages (MTIL)
by Surupendu Gangopadhyay 03 Jul '23

03 Jul '23

Apologies for multiple posting *********************************** *------------------------------------------------------------------------------------------------Machine Translation for Indian Languages (MTIL) 2023------------------------------------------------------------------------------------------------* We invite all IR and NLP researchers and enthusiasts to participate in the MTIL track (https://mtilfire.github.io/mtil/2023/) held in conjunction with the Forum for Information Retrieval Evaluation (FIRE) 2023 ( http://fire.irsi.res.in/). Indian languages have many linguistic complexities. Though some Indian languages share syntactic similarities, some possess intricate morphological structures. At the same time, some Indian languages are low-resource. Therefore the machine translation models should address these unique challenges in translating between Indian languages. The MTIL track consists of two tasks: 1. *General Translation Task (Task 1):* Task participants should build a machine translation model to translate sentences of the following language pairs: 1. Hindi-Gujarati 2. Hindi-Kannada 3. Kannada-Hindi 4. Hindi-Odia 5. Odia-Hindi 6. Hindi-Punjabi 7. Punjabi-Hindi 8. Hindi-Sindhi 9. Urdu-Kashmiri 10. Telugu-Hindi 11. Hindi-Telugu 12. Urdu-Hindi 13. Hindi-Urdu 2. *Domain Specific Translation Task (Task 2)*: Task participants will build machine translation models for Governance and Healthcare domains. 1. Healthcare: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi 2. Governance: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi *Dataset:* The primary source of parallel language pairs is Bharat Parallel Corpus Collection (BPCC), released by AI4Bharat (https://ai4bharat.iitm.ac.in/bpcc ). Participants are encouraged to add datasets of their choice, including parallel corpora and monolingual datasets, to train their models. More information on registration and participation in the track can be found here: https://mtilfire.github.io/mtil/2023/ This track is being done in association with BHASHINI ( https://bhashini.gov.in/) *Organisers* - Prasenjit Majumder, DAIICT Gandhinagar,India and TCG CREST, Kolkata,India - Arafat Ahsan, IIIT-Hyderabad,India - Asif Ekbal, IIT-Patna,India - Saran Pandian, DAIICT Gandhinagar,India - Ramakrishna Appicharla, IIT-Patna ,India - Surupendu Gangopadhyay, DAIICT Gandhinagar,India - Ganesh Epili, DAIICT Gandhinagar,India - Dreamy Pujara, DAIICT Gandhinagar,India - Misha Patel, DAIICT Gandhinagar,India - Aayushi Patel, DAIICT Gandhinagar,India - Bhargav Dave, DAIICT Gandhinagar,India - Mukesh Jha, DAIICT Gandhinagar,India

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19th IEEE eScience Conference (eScience 2023): Last Call for Poster Submission
by georgeangelos60＠gmail.com 02 Jul '23

02 Jul '23

*** Last Call for Poster Submission *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ (*** Submission Deadline: July 14, 2023, AoE ***) eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is “open eScience”. This year, the conference is promoting four additional key topics: • Computational Science for sustainable development • FAIR • Research Infrastructures for eScience • Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting contributions for Posters (2 pages) showcasing early-stage results and innovations. Submitted poster papers should use the IEEE 8.5×11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Accepted posters will be presented during a poster reception. Accepted poster papers will be published in the conference proceedings. At least one author of each accepted poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. • Best Poster Award • Best Student Poster Award • Outstanding Early Career Contribution – this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES • Poster Submissions due: July 14, 2023 (AoE) • Poster Acceptance Notification: July 24, 2023 • All Camera-ready Submissions due: August 14, 2023 • Author Registration Deadline: August 14, 2023 ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program(a)eScience-conference.org

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LxGr2023: Last Call for Participation
by Costas Gabrielatos 02 Jul '23

02 Jul '23

8th Symposium on Corpus Approaches to Lexicogrammar (LxGr2023) The symposium will take place online (via MS Teams) on 6-8 July 2023. Tree days until registration closes (Tuesday 4 July). Participation is free. The Teams link will be sent to those registered on Wednesday 5 July. The programme, links to abstracts, and registration details are here: https://sites.edgehill.ac.uk/lxgr/lxgr2023 If you have any questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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CFP: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)
by Marina Litvak 01 Jul '23

01 Jul '23

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

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