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BCS SEARCH INDUSTRY AWARDS 2024 ***FINAL CALL***
by Tony Russell-Rose 26 Sep '24

26 Sep '24

BCS SEARCH INDUSTRY AWARDS 2024 ***FINAL CALL*** We are delighted to announce this year's Search Industry Awards, celebrating the best search innovations of 2024. Presented by the Information Retrieval Specialist Group of the BCS, these awards recognize people, projects, and organisations around the world that have excelled in the design of search and information retrieval products and services. If you know of any people, projects, or products that deserve recognition, let us know by submitting a nomination. Alternatively, if you're involved with something special yourself, you can submit an application today. CATEGORIES This year we are offering four awards: 1. Best search project recognises the most impactful implementation of search technology or methodology in solving a specific problem or need. Previous winners include: * Wikiframe Visual Graph, a search capability for Special Collections data stored on Wikidata (wikidata.org) * CiteSeerX, one of the largest open source academic search engines with over 10 million documents * LexisNexis for their work on Open question answering on Lexis+ 2. Search professional of the year is made to an individual who has made a significant contribution through their work and professionalism. Previous winners include: * Amey Porobo Dharwadker, Machine Learning Tech Lead Manager at Meta * Adam Tocock, Library Assistant at NHS * Stuart Mackie, Lead Data Scientist at BiP Solutions 3. Most promising start up (or new enterprise) recognises the innovative and disruptive potential of a business model, technology, or solution. Previous winners include: * batteryincluded.ai, First BI Product Discovery Framework incl. 3 pillars for highest relevancy within global product listings * Giotto AI, an all-in-one platform to automatize, digitalize, and standardize the data collection, analysis and writing of a Clinical Evaluation Report * Resolute.AI, an AI driven platform to search major FDA databases in the public domain in a federated way 4. Best paper / presentation (at Search Solutions). Previous winners include: * Charlie Hull, OSC: “Pragmatic AI-powered Search – Keeping it Simple, not Stupid”. * Filip Radlinski, Google: “Challenges with Really Understanding Natural Language in Conversational Recommendation” * Olivia Foulds, University of Strathclyde: “Crossing the 49th Parallel in Data and Information Science” The last award is open only to presenters at Search Solutions, and will be judged on the day of the event. For all others, apply today! JUDGING PANEL Winners will be selected by our panel of judges (details to be announced shortly). AWARDS CEREMONY The awards ceremony will take place during Search Solutions 2024. APPLY We’ve designed the application process to be simple to complete: https://forms.gle/W54kx6t5jPVp8dkQ7 If you are unsure which category to apply for, or have questions about the application process, contact us via the address below. For further details, see: https://www.bcs.org/membership-and-registrations/member-communities/informa… Nominations will remain open until 31st October. CONTACT If you have any questions on the above, please contact the IRSG Events Organiser at tgr2uk+irsg(a)gmail.com ABOUT IRSG The IRSG is a Specialist Group of BCS. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG is free to join via the BCS website, which provides access to further IR articles, events and resources. BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.

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German Linguist/Annotator Position
by Katarzyna Marszałek-Kowalewska 26 Sep '24

26 Sep '24

*ANNOTATOR / KNOWLEDGE ENGINEER (STUDENT/FREELANCER)* Berlin · Remote · Part-Time YUKKA Lab AG is looking for a German annotator/knowledge engineer to join our Data & Resources Team. *Requirements* - Student in linguistics, philology, or translation - Good understanding of language analysis, e.g. part-of-speech, morphology, syntax, semantics - Native (for native-like) fluency in German - Excellent English skills - Creativity and motivation to push product development - Technically-minded - Ability to research and collect information from a wide variety of resources - Interest in information extraction *Nice to have* - Experience with creating ontologies, knowledge bases - Knowledge of additional languages *Responsibilities* - Annotation of data with linguistic information - Development of language resources, such as lexica, gazetteers - Development of knowledge bases/ontologies *More About Us* We are a fast-growing FinTech and hiring talented engineers with a broad understanding of technology, and visionary and creative thinking for thrilling development tasks. We are unique in sentiment analysis by screening professional print and media content. Our focus is the financial market but we are enlarging our products for overall market sentiment detection. We understand the value of data. Our software analyses online and print news and derives market sentiments. We analyze sectors, indexes, and securities all over the financial markets. *Contact* Do you believe that you would be a good fit for YUKKA Lab? Great! Please send your application with a possible start date to Katarzyna Marszalek-Kowalewska (kmk(a)yukkalab.com). No recruiters, please.

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Registration open: Translating and the Computer (TC46) - Luxembourg - November
by amalhaddad 25 Sep '24

25 Sep '24

WELCOME TO THE TRANSLATING AND THE COMPUTER 2024 (TC46)! TC46 REGISTRATION IS NOW OPEN REGISTER NOW [1] TO SHAPE THE FUTURE OF TRANSLATION AND HARNESS THE POWER OF TECHNOLOGY TO BRIDGE LANGUAGES AND CULTURES. DON’T MISS OUT – THE FUTURE OF TRANSLATION STARTS HERE! HTTPS://ASLING.ORG/TC46/REGISTER_TC46/ ARE YOU READY TO TRANSFORM YOUR UNDERSTANDING OF TRANSLATION TECHNOLOGY? JOIN US AT THE FOREFRONT OF INNOVATION AND DISCUSSION AT THIS YEAR’S ASLING CONFERENCE ON TRANSLATING AND THE COMPUTER. THIS IS YOUR OPPORTUNITY TO CONNECT WITH THOUGHT LEADERS, INNOVATORS, AND PEERS WHO ARE SHAPING THE FUTURE OF OUR INDUSTRY. FROM INTERACTIVE WORKSHOPS TO INSIGHTFUL KEYNOTES AND PANELS, YOU’LL LEAVE EQUIPPED WITH KNOWLEDGE AND IDEAS THAT WILL PROPEL YOUR PROFESSIONAL JOURNEY FORWARD. SPACES ARE LIMITED — SECURE YOUR SPOT NOW AND BE PART OF A COMMUNITY DRIVING ADVANCEMENTS IN TRANSLATION TECHNOLOGY! REGISTRATION* REGISTRATIONS COVER CONFERENCE COSTS, SUCH AS ADMINISTRATIVE COSTS, CATERING, AND OTHER OVERHEAD COSTS. IF YOU ARE A CITIZEN FROM OUTSIDE THE EU OR THE EUROPEAN ECONOMIC REGION, PLEASE CHECK WHETHER YOU REQUIRE A VISA TO TRAVEL TO THE VENUE IN LUXEMBOURG. YOU ARE RESPONSIBLE TO OBTAIN SUCH A VISA ON YOUR OWN. ASLING CANNOT ASSIST ANY PERSONS REQUIRING A VISA TO TRAVEL TO LUXEMBOURG. REGISTRATION FOR TC46 IS AS FOLLOWS: FIRST EARLY BIRD (AVAILABLE UNTIL AUGUST 31ST) * STUDENTS, EUR 190.00** * ALL OTHER REGISTRANTS, EUR 195.00 SECOND EARLY BIRD (FROM SEPTEMBER 1ST TO OCTOBER 15TH) * STUDENTS, EUR 200.00** * ALL OTHER REGISTRANTS, EUR 215.00 REGULAR CONTRIBUTION (FROM OCTOBER 16TH UNTIL NOVEMBER 18TH) * STUDENTS, EUR 210.00** * ALL OTHER REGISTRANTS, EUR 235.00 *REGISTRATIONS ARE CONFIRMED AFTER THE BANK CONFIRMS PAYMENT TO ASLING. **TO REGISTER AS A STUDENT, YOU MUST SUBMIT A CERTIFICATE CONFIRMING YOUR FULL-TIME STUDENT STATUS. Cancellation policy o Before 1 October 2024: full refund minus EUR 50 (administrative expenses) o Between 1 October and 31 October 2024: EUR 50 refund o From 1 November 2024 onward: NO refund. NETWORKING DINNER THE TC46 N [2]ETWORKING DINNER WILL BE HELD ON 19 NOVEMBER (ON THE 2ND DAY OF THE CONFERENCE) AT A RESTAURANT CLOSE TO THE CONFERENCE VENUE. THE PRICE IS EUR 69 PER PERSON. PLACES ARE RESTRICTED AND WILL BE ASSIGNED, AFTER COMPLETED PAYMENT, ON A FIRST-COME, FIRST-SERVE BASIS. PLEASE FILL IN THE DINNER RESERVATION FORM THAT YOU WILL FIND IN THE NETWORKING DINNER PAGE [2], AND REMEMBER TO CHOOSE “KEYNOTE SPEAKER”, “SPONSOR” OR “OC/PC MEMBERS & PARTICIPANTS” DEPENDING ON YOUR CONFERENCE PARTICIPATION STATUS. CONFERENCE COCKTAIL THIS EVENT [3] PROMISES AN EVENING OF ELEGANT, DELIGHTFUL COCKTAILS, AND ENRICHING CONVERSATIONS WITH INDUSTRY LEADERS AND FELLOW PROFESSIONALS. IT’S AN EXCELLENT OPPORTUNITY TO UNWIND, NETWORK, AND SHARE INSIGHTS IN A RELAXED AND SOPHISTICATED ATMOSPHERE. Links: ------ [1] https://asling.org/tc46/register_tc46/ [2] https://asling.org/tc46/networking-dinner/ [3] https://asling.org/tc46/networking-cocktail/

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2nd CfP: 8th Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-8)
by Antti Arppe 25 Sep '24

25 Sep '24

EIGHTH WORKSHOP on the Use of COMPUTATIONAL METHODS in the Study of ENDANGERED LANGUAGES (ComputEL-8) Read to the end for the Special Session information and submission deadline. SECOND CALL FOR PAPERS - REGULAR SESSION Submission deadline: October 7, 2024 Submission link: https://easychair.org/conferences/?conf=computel8 The ComputEL-8 workshop focuses on the use of computational methods in the study, support, and revitalization of endangered languages. The primary aim of the workshop is to continue narrowing the gap between computational linguists interested in methods for endangered languages, academic linguists documenting languages, and the language communities who are striving to maintain their languages. We encourage submissions from scholars and activists representing any or all of these perspectives. The intention of the workshop is not merely to allow for the presentation of research, but also to build a network of computational linguists, documentary linguists, and community language activists who are able to effectively join together and serve their common interests. Workshop Venue ComputEL-8 will be co-located with the 9th International Conference on Language Documentation & Conservation (ICLDC) in Honolulu, Hawaii (https://ling.lll.hawaii.edu/sites/icldc/). We anticipate being able to support travel costs in some cases for presenters without institutional support. Priority will be given to members of endangered language communities, scholars from low-income countries, and students. Please contact the organizers at computel.workshop(a)gmail.com for further information. The workshop will be a virtual/in-person hybrid event. Ability to attend in person will not affect consideration of submissions. SECOND CALL FOR PAPERS We encourage submissions that explore the interface and intersection of computational linguistics, documentary linguistics, and community-based efforts in language revitalization and reclamation. This includes submissions that: (i) propose or demonstrate new methods or technologies for tasks or applications focused on low-resource settings, and in particular, endangered languages (ii) examine the use of specific methods in the analysis of data from low-resource languages, or propose new methods for analysis of such data, oriented toward the goals of language reclamation and revitalization (iii) propose new models for the collection, management, and mobilization of language data in community settings, with attention to e.g. issues of data sovereignty and community protocols (iv) explore concrete steps for a more fruitful interaction among computer scientists, documentary linguists, and language communities IMPORTANT DATES 07-Oct-2024 Deadline for submission of papers or extended abstracts 22-Nov-2024 Notification of Acceptance 10-Jan-2025 Camera-ready papers due 4 & 5 March 2025 Workshop PRESENTATIONS Presentation of accepted papers will be in both oral sessions and a poster session. The decision on whether a presentation for a paper will be oral and/or poster will be made by the Organizing Committee on the advice of the Program Committee, taking into account the subject matter and how the content might be best conveyed. Oral and poster presentations will not be distinguished in the Proceedings. SUBMISSIONS In line with our goal of reaching multiple overlapping communities, we offer two modes of submission: extended abstract and full paper. The mode of submission does not influence the likelihood of acceptance. Either can be submitted to one of the workshop’s tracks: (a) language community perspective and (b) academic perspective. Submissions must be uploaded to EasyChair (https://easychair.org/conferences/?conf=computel8) no later than October 7, 2024 11:59PM (UTC-12, “anywhere on earth”). Submissions may be considered for both the regular session and the special session. All submissions must be anonymous following ACL guidelines and will be peer-reviewed by the scientific Program Committee. A. Extended Abstract: Please submit anonymous abstracts of up to 1500 words, excluding references. Extended abstracts must be submitted as attached documents. B. Full Paper: Please submit anonymously either a) a long paper - max. 8 pages excluding references and appendices; or b) a short paper - max. 4 pages excluding references, according to the style and formatting guidelines provided in by ACL Style Files (download template files for LaTeX or Microsoft Word: https://github.com/acl-org/acl-style-files). Proceedings The authors of selected accepted full papers (long or short) will be invited by the Organizing Committee to submit their papers for online publication via the open-access ACL Anthology. Final versions of long and short papers will be allotted one additional page (altogether 5 and 9 pages) excluding references. Proceedings papers should be revised and improved versions of the work that was submitted for, and which underwent, review. Any revisions should concern responses to reviewer comments or the addition of relevant details and clarifications, but not entirely new, unreviewed content. Camera-ready versions of the articles for publication will be due on January 10, 2025. SPECIAL THEME SESSION - BUILDING TOOLS TOGETHER In addition to the main session, ComputEL-8 invites self-identified submissions to a special themed session on “Building Tools Together”, oriented toward amplifying our shared understanding of how best to work together across disciplinary and cultural boundaries to build technological tools that support community language revitalization. We invite presentations that: (1) describe collaborations in the development of new tools and technologies; and/or (2) describe or identify technological or computational needs within community language reclamation contexts, and/or propose solutions. A. For presentations that describe a collaboration among language communities, academic researchers, and (in some cases) industry or non-governmental organizations towards the development of new tools, resources, and technologies in, we encourage submissions which address questions such as: 1. How did the idea for the tool or technology come about? 2. How did the team members meet and come to work together? 3. What has been the impact of this tool? How are you evaluating it? How has the project benefitted community efforts at language maintenance and revitalization? 4. What are some challenges (logistical, technical, interdisciplinary, intercultural) that you encountered, and how did you address them? 5. How have you balanced the needs and priorities of different team members through the lifespan of the project? 6. What lessons have you learned that might benefit similar collaborations? B. For presentations that identify technological or computational needs within community language reclamation contexts, and/or propose solutions, e we encourage submissions which address questions such as: 1. What is the need that this tool would meet? Who will it serve? 2. What is the blue-sky version of this tool? What is the minimum viable product version? 3. What kinds of data, digital assets, or media content would be required to create the tool, and how would they be assembled? 4. What challenges might the team face in the development process? 5. How do you anticipate the collaborative process to best incorporate diverse areas of expertise from cultural and community-grounded knowledge to academic, technical, and production-oriented knowledge? Please submit anonymous extended abstracts of up to 1500 words, excluding references. Submissions representing community-led collaborations are strongly encouraged. Submissions must be uploaded to EasyChair (https://easychair.org/conferences/?conf=computel8) no later than October 7, 2024 11:59PM (UTC-12, “anywhere on earth”). Submissions may be considered for both the regular session and the special session. Notification of acceptance to the Special Session will be sent out by November 22, 2024. All authors of papers in the Special Theme Session will be invited to contribute to a follow-up paper that synthesizes the findings of the Session. IMPORTANT DATES 07-Oct-2024 Deadline for submission of papers or extended abstracts 22-Nov-2024 Notification of Acceptance 10-Jan-2025 Camera-ready papers due 4 & 5 March 2025 Workshop ORGANIZING COMMITTEE Godfred Agyapong (University of Florida) Antti Arppe (University of Alberta) Aditi Chaudhary (Google Research) Jordan Lachler (University of Alberta) Sarah Moeller (University of Florida) Shruti Rijhwani (Google DeepMind) Daisy Rosenblum (University of British Columbia) Olivia Waring (University of Hawai'i Mānoa) CONTACT US For further information, please consult our website: https://computel-workshop.org/ComputEL-8/ or email us at: computel.workshop(a)gmail.com -- ====================================================================== Antti Arppe - Ph.D (General Linguistics), M.Sc. (Engineering) Professor of Quantitative Linguistics Director, Alberta Language Technology Lab (ALTLab) Project Director, 21st Century Tools for Indigenous Languages (21C) Past President, ACL SIG for Endangered Languages (SIGEL) Department of Linguistics, University of Alberta E-mail: arppe(a)ualberta.ca, antti.arppe(a)iki.fi WWW: www.ualberta.ca/~arppe, altlab.artsrn.ualberta.ca Mānahtu ina rēdûti ihza ummânūti ihannaq - dulum ugulak úmun ingul ----------------------------------------------------------------------

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Fwd: ESAO Webinar n.12 on Tuesday October 1st, 2024 16:00 CEST –- Call for Participation
by Cassia 24 Sep '24

24 Sep '24

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The 12h ESAO webinar will be held on Tuesday October 1st, 2024 at 16:00 CET. --------------------------- When and how to connect Tuesday October 1st, 2024 14:00 UTC / 16:00 CEST / 16:00 SAST Duration: 90 minutes Video conference (via Zoom) : https://univ-tlse2.zoom.us/j/92895546685?pwd=DQD7Wzf3ZJw02LJ2hHmrVDwdN474PZ… --------------------------- Program 14:00-15:30 UTC / 16:00-17:30 CEST / 16:00-17:30 SAST / 11:00-12:30 UTC-3 Olivier Kutz, Free University of Bozen-Bolzano, Italy Title: Concepts, concept combinations, and the tooth operator Abstract: We will discuss some of the approaches to model concepts and concept combinations with the help of logic, and illustrate how such modelling approaches are capable (or not) of modelling aspects of human reasoning with concepts. We will then explain the basic ideas underlying the framework of weighted description logics, also called perceptron or 'tooth' logic, and illustrate its key features and benefits for modelling and reasoning with concepts. Maria Hedblom, Jönköping University, Sweden Title: Cognitive foundations for KR Abstract: TBA Best regards Cassia Trojahn, Frank Loebe, Laure Vieu On behalf of the IAOA Education Committee [1] https://wiki.iaoa.org/index.php/Edu:ESAO

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Modeling Climate Change: Towards more harmonious and resilient human settlements
by Aline Villavicencio 23 Sep '24

23 Sep '24

Dear all, We are hosting an online panel about recent and devastating extreme climate events, the role of science in modelling, predicting and responding to these events, and how science can inform and support response and replanning efforts. Modeling Climate Change: Towards more harmonious and resilient human settlements The event is online and open to all, and details about how to join are included below. We hope to see you there. Aline Villavicencio (Institute for Data Science and Artificial Intelligence, University of Exeter, and University of Sheffield, UK) Marco Idiart (Federal University of Rio Grande do Sul, Brazil) On behalf of the organising committee ——————————————— Modeling Climate Change: Towards more harmonious and resilient human settlements Date: September 27, 2024, 3pm UK Website: https://sites.google.com/view/climate-change-southern-brazil Location: Join the Zoom Meeting <https://universityofexeter.zoom.us/j/91435912802?pwd=KC4M7HxkKljx8HJb3sE23H…> https://Universityofexeter.zoom.us/j/91435912802?pwd=KC4M7HxkKljx8HJb3sE23H… Meeting ID: 914 3591 2802 Password: 164009 Human settlements alter the course of rivers, narrow their banks, and eliminate forests and wetlands, ecosystems that retain water and allow its absorption into the soil. For decades or even centuries, it was possible to avoid natural disasters simply by erecting protective barriers to prevent the waters from returning to their natural beds. On the other hand, global warming destabilizes the climate and increases the frequency of extreme weather events such as excessive rainfall and floods. This makes the protections for villages and cities less effective, leading to major climatic disasters as observed in southern Brazil. There is consensus that the frequency and severity of these events will tend to increase in coming years, and therefore, we must consider what kind of planning we should make for the future. Either we continue to build increasingly larger dams, dikes and barriers, or we need to rethink human occupation of territories. In this panel, we discuss how to replan or relocate climate affected settlements, making them more harmonious with nature and resilient to climatic effects, and how data science and artificial intelligence can assist us in this. A Discussion with: Ricardo Campos (University of Exeter, UK) Marina Hirota (Federal University of Santa Catarina, Brazil) Tiago de Melo Cartaxo (University of Exeter, UK) Marcia Zilli (University of Oxford, UK) Moderator: Ronaldo Menezes (University of Exeter, UK) More information is available on the website <https://sites.google.com/view/climate-change-southern-brazil?usp=sharing>; registration is not required.

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Postdoctoral Research Fellow CL/NLP at MBZUAI, UAE; additionally affiliated with the UKP Lab, TU Darmstadt
by Niemann, Elisabeth 23 Sep '24

23 Sep '24

*** Postdoctoral Research Fellow at MBZUAI, UAE; additionally affiliated with the UKP Lab, TU Darmstadt *** We have an opening in Computational Linguistics/Natural Language Processing in the Natural Language Processing Department at MBZUAI, UAE to work together with Iryna Gurevych. The successful candidate will also be affiliated with the UKP Lab at the Technical University of Darmstadt. The initial contract will be for 2 years. Ideal candidates have a PhD in computational linguistics, AI, Machine Learning or a related discipline and are fluent in English. DUTIES 1. Developing your own research program, including publications in top CL/NLP venues. 2. Collaborative research between the NLP Department of MBZUAI and the UKP Lab in Darmstadt to help establish one of the most prominent CL/NLP bridges between Europe and MBZUAI in UAE. This is an opportunity for you to be part of the team that shapes the future of this collaboration. 3. Joint projects with other NLP and ML faculty members at MBZUAI. MBZUAI AND UKP LAB ECOSYSTEMS MBZUAI's NLP Department (Chair: Prof. Preslav Nakov) is quickly growing. It is supported by the government's investment in AI, which makes funds and infrastructure available to early-career researchers. The current MBZUAI NLP faculty is international and diverse and is engaged in cutting-edge projects with top partners worldwide. UKP lab is part of ELLIS (ELLIS NLP and the ELLIS unit in Darmstadt, the Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA), and the Hessian.AI (https://hessian.ai), a new center in which the faculty from the main Hessian universities collaborate on advancing machine learning, including NLP. ELLIS, ELIZA and Hessian.AI provide a rich environment for networking with other researchers in NLP and AI and for collaboration with other groups. TEAM This position is supervised by Iryna Gurevych, founder and director of the UKP Lab in Darmstadt and a recent recipient of the Milner 2024 Lecture Award recognizing one outstanding computer science researcher from Europe per year. UKP Lab is internationally recognized for its research on NLP including language representation learning, sentence transformers and conversational AI. We are a team of about 40 full-time researchers from a multitude of different nations. WAGES AND BENEFITS MBZUAI provides competitive salaries for postdoctoral fellows, sufficient academic freedom to engage in cutting-edge research and publish top-level papers in a research environment, and the infrastructural conditions required to start research immediately. LOCATION This position is in Abu-Dhabi, at MBZUAI, offering an unprecedented opportunity for gaining international experience. Due to a close collaboration with UKP Lab, the successful candidate will occasionally visit Darmstadt in Germany to advance joint projects. APPLICATION Please submit your application via the following form: https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment Application deadline: October 15th, 2024. After that, the position will remain open until filled. We will consider applications as soon as they are submitted.

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Call for participation: Shared task on Predicting Disagreements in WiC Annotations
by Dominik Schlechtweg 23 Sep '24

23 Sep '24

Dear colleagues, The CoMeDi (Context and Meaning—Navigating Disagreements in NLP Annotations) workshop will host a shared task. We invite participants to solve two subtasks given a pair of words uses: Subtask 1: Ordinal Word-in-Context Detection (OGWiC) Subtask 2: Disagreement in Word-in-Context Detection (DisWiC) The task takes a different view on modeling of word meaning by (i) treating WiC as an ordinal classification task, and (ii) making disagreement the explicit detection aim (instead of removing it). The workshop will colocated with COLING 2025, where the results of the shared task will be presented. All information can be found on our website: https://comedinlp.github.io/ Everyone is cordially invited to participate. Feel free to approach us in case of any questions. Best, Dominik -- https://garrafao.github.io/ https://www.ims.uni-stuttgart.de/en/institute/team/Schlechtweg/

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Job offer: research assistant (m/f/d) (E 13 TV-G-U) in computer science at GU Frankfurt
by Andy Lücking 22 Sep '24

22 Sep '24

*** Apologies for cross-postings *** At the Institute for Computer Science (Prof. Dr. Alexander Mehler), Department of Computer Science and Mathematics at Goethe University Frankfurt, a position for a research assistant (m/f/d) (E 13 TV-G-U) is available at the earliest possible date research assistant (m/f/d) (E 13 TV-G-U) for a period of three years within the ENTAILab project – research infrastructure and innovation lab. The salary scale is based on the job characteristics of the collective agreement applicable to Goethe University (TV-G-U). The project is part of the priority program (SPP) New Data Spaces for the Social Sciences, which is funded by the German Research Foundation (DFG) (see https://www.new-data-spaces.de). The aim of the project is to establish a research-oriented infrastructure for novel data in survey research. To this end, a method-oriented innovation laboratory for novel methods in survey research is to be set up, which will develop and test methods of machine learning and artificial intelligence in cooperation with the projects of the SPP. The subject of the methods to be developed is multimodal data and thus not primarily or exclusively linguistic research data. You are expected to collaborate in the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a keen interest in working in the field of cutting-edge research infrastructures and in the team-oriented development and application of innovative, research-oriented methods in the field of survey research and the social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-strong, internationally oriented working environments in the areas of computational humanities, multimodal computing, machine learning and artificial intelligence. This also includes financial resources for conference participation and individual career development. Requirements: · Completed academic university degree (e.g. Master's) in a relevant subject with a focus on information science · Very good knowledge of English (C1) · Proven experience in the field of databases and machine learning or artificial intelligence methods · Extensive programming knowledge in Java, Python or similar · Knowledge of container technologies such as Docker, Kubernetes or similar · An interest in social science issues is desirable. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a combined PDF document by 08.10.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de.

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One PhD Position and One Postdoc Position Open in Computational Social Science / Computational Linguistics, IMS Stuttgart, Germany
by Tanise Ceron 22 Sep '24

22 Sep '24

(Posted: September 13, 2024; Deadline: October 6, 2024) The Theoretical Computational Linguistics group [1] at the Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, has two open positions as part of the MULTIVIEW project [2]: one for a PhD candidate and one for a postdoctoral researcher. The project, led by Amelie Wührl [3] and Tanise Ceron [4], focuses on diversifying news recommendation. The successful candidates will investigate methods for diversifying perspectives in news recommendation systems based on textual and discourse features. The general goals are to create datasets and develop methods that identify and rank news based on a variety of perspectives on the same events. The candidates should have a background in computer science, computational linguistics or similar with substantial knowledge of natural language processing including neural network modeling and strong programming and software engineering skills. They require excellent communication skills and knowledge of English, and interest in interdisciplinary and team work. Prior experience with recommendation systems and large language models are considered a plus. A master’s degree level of education is required for the PhD candidate and a PhD title is required for the postdoctoral candidate. The candidates will be employed by IMS at the University of Stuttgart. The PhD position is available for three years, starting in January 2025. It is a 75% position, following the German university pay scale (TV-L 13) [5]. The candidate will be co-supervised by Sebastian Padó [6] and Tanise Ceron. The postdoctoral position is for a duration of 13 months, beginning in January 2025. It is a full-time position (100%), also according to the German university pay scale (TV-L 13) [7]. To apply, please send a full CV and letter of motivation together in a single PDF document to Tanise Ceron (tanise.ceron at ims.uni-stuttgart.de). The motivation letter should highlight the candidate’s relevant research or work experience, explain their interest in the project, and outline how they can contribute to it. Applications received by October 6 will receive full consideration. For further clarification, please contact Amelie Wührl and Tanise Ceron (amelie.wuehrl, tanise.ceron at ims.uni-stuttgart.de) About Stuttgart and the University of Stuttgart: The University of Stuttgart is a technically oriented university in Germany. It is especially known for engineering and related topics, with its computer science department being ranked highly nationally and internationally. The Institute of Natural Language Processing (Institut für Maschinelle Sprachverarbeitung, IMS), which forms part of the Faculty of Computer Science and Electrical Engineering, is one of the largest academic research institutes for natural language processing in Germany. Its activities range from computational corpus linguistics to semantic processing, machine translation, psycholinguistics, and phonetics. The city of Stuttgart is the capital of the state of Baden-Württemberg in the south-west of Germany and known for its strong economy, rich culture and its location across a variety of hills, many covered in vineyards. It is a lively place with an active bar and club scene and well-serviced public transport. By train, it is well-connected to many other interesting places, for instance Munich and Cologne (~2 hours), Paris (~3.5 hours), Berlin (~5.5 hours), Strasbourg (1 hour) or Lake Constance (2 hours). [1] https://www.ims.uni-stuttgart.de/en/institute/researchgroups/tcl/ [2] https://www.ims.uni-stuttgart.de/en/research/projects/multiview/ [3] https://www.ims.uni-stuttgart.de/institut/team/Wuehrl/ [4] https://tceron.github.io/ [5]* https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l&g=E_13&s=1&… [6] https://nlpado.de/~sebastian/ [7]* https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l&g=E_13&s=1&… * values are approximations which may vary depending on previous work experience.

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2024

2023

2022

Corpora