- Corpora - ELRA lists

REMINDER for 10th LANGUAGE AND TECHNOLOGY CONFERENCE: Human Language Technologies as a Challenge for Computer Science and Linguistics, April 21-23, 2023, Poznań, Poland (LTC 2023)
by Marta Witkowska 09 Dec '22

09 Dec '22

Dear Sir/Madame, Dear Colleague! We kindly remind you that December 12, 2022 is the deadline for submitting a paper to LTC 2023. CONFERENCE DATES/DEADLINES*): * Deadline for submission of papers for review: December 12, 2022 * Acceptance/Refusal notification: January 7, 2023 * Deadline for submission of final versions of accepted papers: January 16, 2023 * Conference: April 21-23, 2023 *) Notice. The above deadlines do not apply to workshops, see below. For more info please do visit the LTC WEB SITE: http://ltc.amu.edu.pl/(the Paper Submission section). PAPER SUBMISSION The conference accepts papers in English only. Papers (5 formatted pages in the conference format, see templates) are due by December 12, 2022 (midnight, any time zone) and should not disclose the author(s) in any manner. All submissions are to be made electronically via the LTC 2023 web submission system (EasyChair). Paper templates in Word and LaTeX are available at . IMPORTANT In case you have any questions about the conference or workshops, like a problem with the approaching deadline, questions about the submission procedure, the paper format, any issues regarding participation to the conference, workshops and special sessions or social program, please do not hesitate to contact us directly: LTC23 Co‑chairs: Zygmunt Vetulani (vetulani(a)amu.edu.pl) and Patrick Paroubek (pap(a)lisn.fr) LTC23 Secretary: Marta Witkowska (marta.witkowska(a)amu.edu.pl) LTC’23 SPECIAL TRACKS/WORKSHOPS/OTHER SPECIAL EVENTS The 7 th Less Ressourced Languages Workshop (LRL 2023) - Deadline for paper submissions: January 6, 2023 - Notification of acceptance: January 12, 2023 - Camera-ready version due: January 26, 2023 The Fourth Workshop on Processing Emotions, Decisions and Opinions (EDO 2023) - Deadline for paper submissions: February 1st, 2023 - Notification of acceptance: February 20th, 2023 - Camera-ready papers: March 1nd, 2023 The 1st Workshop on Human Language Technologies as Business Management Communication Support (HLT4BM 2023) - Deadline for paper submissions: January 6, 2023 - Notification of acceptance: January 27, 2023 - Camera-ready papers: February 15, 2022 For more information regarding the conference (topics, style sheet, publication etc.) and other special LTC events please visit the LTC 2023 website at http://ltc.amu.edu.pl/. Looking forward to meeting you in Poznań, Z. Vetulani, P. Paroubek, M. Witkowska. Contact: Zygmunt Vetulani (vetulani(a)amu.edu.pl) and Patrick Paroubek (pap(a)lisn.fr) (LTC23 Co-chairs), Marta Witkowska (LTC23 Secretary) (marta.witkowska(a)amu.edu.pl) (cc ltc23(a)amu.edu.pl).

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Call for Bids to Host ESSIR 2024 - Submit by 5 March 2023
by Nicola Ferro 09 Dec '22

09 Dec '22

------------------------------------------- Call for Bids to Host ESSIR 2024 Deadline: 5 March 2023 Further details: https://www.essir.eu/ Contact: chair(a)essir.eu ------------------------------------------- The Steering Committee of the European Summer School on Information Retrieval (ESSIR) invites interested parties to submit bids to host ESSIR in 2024. ## INTRODUCTION ## The ESSIR initiative is a self-organized body, whose main mission is to promote research, innovation, and development of information access systems by educating junior and senior researchers, students, professionals, developers, and practitioners on the latest developments in the field, both methodological and technological. The ESSIR event is a week-long event, organized over the summer, where renowned lecturers and students interact together in a number of ways, e.g. lectures, hands-on sessions, flipped classrooms, aimed at the most effective teaching and learning of both basic and advanced topics on information access at large. By targeting information access at large, ESSIR places itself at the crossroad of several neighbors disciplines, namely + Information Retrieval (IR) + Recommender Systems (RecSys) + Natural Language Processing (NLP) + Machine Learning (ML) + Artificial Intelligence (AI) + Data Science (DS) ESSIR gives participants a grounding in the core subjects such as architectures; algorithms; formal theoretical models; evaluation theory and practice, as well as a coverage of recent topics and trends in the field, such as fairness, conversational search, and more. ESSIR is aimed at: advanced undergraduate students; PhD students; post-doctoral researchers; academic and industrial researchers; developers. Traditionally, ESSIR is co-located with accompanying events (such as the Symposium on Future Directions in Information Access, FDIA) that give the participants an excellent opportunity for focused discussions on recent emerging topics in Information Retrieval. Further details on ESSIR can be found at: https://www.essir.eu/ ## PROPOSAL SUBMISSION AND SELECTION ## Parties interested in hosting ESSIR 2025 are invited to submit proposals, in PDF format, by email to the ESSIR Steering Committee chair Nicola Ferro at chair(a)essir.eu by ** 5 MARCH 2023 ** Proposals will be evaluated by the ESSIR Steering Committee. Evaluation will take into account: + venue and timing: attractiveness of the location, hosting facilities, transportation options, accommodation, social program options, targeted event week, key dates, avoidance of timing conflicts with other relevant IR events and large-scale local public events. + scientific program: foundational topics, special lectures, accompanying events (podium discussions, poster sessions, etc.), strategy for acquiring and organizational support of high-quality IR lecturers. Proposals should also take into consideration the scheduling of relevant co-located events (symposiums, workshops) like FDIA. + support for student participants: grants, special conditions for participation and/or accommodation, opportunity to collect ECTS credit points, networking events, opportunities for personal dialogue with ESSIR lecturers. + financial viability: initial draft of the financial plan including major fixed and variable costs, budget cut-off points, strategy of sponsoring acquisition. + plans for organisation: local organizer consortium and its expertise in event/hosting management, key roles and initial responsibility assignments. Analysis of major risks (such as appropriate number of participants, commitment of key lecturers, sufficient amount of sponsoring) and reasonable fallback options. + dissemination and publicity: plans for reaching the target audience through mailing lists, direct contacts to research groups, scientific social networks, Web 2.0 channels, Web presence. Opportunities to share ESSIR materials within research community: slides, video lectures, scripts, post-proceedings, etc. The ESSIR charter and a bid template is available at: https://www.essir.eu/assets/charter/essir-sc-charter.pdf ## INQUIRIES AND FURTHER INFORMATION ## For any inquiries or if any additional information is needed, please write to chair(a)essir.eu

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REMINDER 2-year full-time postdoc in computational linguistics at FAU Erlangen-Nürnberg
by Stephanie Evert 08 Dec '22

08 Dec '22

REMINDER: One week left to apply! Please note that the URL of the job ad has changed in the meantime (correct link appears in the text below). Don't hesitate to get in touch with me if you have any questions. The project “Reading concordances in the 21st century (RC21)”, run jointly by Friedrich-Alexander-Universität Erlangen-Nürnberg and the University of Birmingham is looking for a POSTDOCTORAL RESEARCHER IN COMPUTATIONAL LINGUISTICS (100%, E13 TV-L, starting ASAP) Application deadline: 16 Dec 2022 Interviews: week beginning 19 Dec 2022 (held via zoom) Format of application: by email to stephanie.evert(a)fau.de (including evidence of all relevant qualifications, preferably in a single PDF) Start of position: 1 Feb 2023 Duration of employment: until 31 Jan 2025 Placement: Computational Corpus Linguistics group (www.linguistik.fau.de) Contact / queries: Stephanie Evert https://www.jobs.fau.de/jobs/postdoctoral-researcher-in-computational-lingu… This is the first of two postdoctoral positions. The second post, which will be based at the University of Birmingham, will be advertised in the new year, with a starting date in the spring. PROJECT INFO In today's digital world, the amount of text communicated in electronic form is ever-increasing and there is a growing need for approaches and methods to extract meanings from texts at scale. Corpus linguists have long been studying recurring patterns in digitised texts with the help of concordances, i.e. displays that show many occurrences of a word, phrase or construction across a range of contexts in a compact format. However, lacking a well-established and clear-cut methodology, the art of reading concordances has not yet realised its full potential. At the same time, there has been very little innovation in algorithms in the concordance software packages available to corpus linguists. This project proposes an innovative approach to reading concordances in the 21st century. Through the collaboration between the University of Birmingham and Friedrich-Alexander-Universität Erlangen-Nürnberg we combine strengths in theoretical work in corpus linguistics with expertise in computational algorithms in order to develop a systematic methodology for reading concordances and corresponding algorithms for the semi-automatic analysis of concordance lines. Through two case studies on English and German data sets, we will establish an approach that not only provides innovation in corpus linguistics, but also has wider implications for the analysis of textual data at scale, while still retaining a humanities perspective. RESPONSIBILITIES OF THE POSTDOCTORAL RESEARCHER • Developing, implementing, and applying novel computer algorithms to support and improve the manipulation of concordance displays • Producing documentation • Carrying out interdisciplinary case studies using the new methodology in close collaboration with other researchers • Leading on the organisation of workshops and other dissemination activities • Developing training materials for workshops and materials for web presence • Analysing data, writing up results, and co-authoring publications • Managing project tasks, supervising student assistants, and providing progress reports • Managing collaborative activities with the UK team REQUIRED QUALIFICATIONS • PhD or DPhil in Computational Linguistics, Computer Science, Machine Learning, Corpus Linguistics, Computational Humanities, or similar subject (completed or near completion) • Evidence of strong programming skills, ideally in Python • Evidence of ability to analyse linguistic data • Native-like language skills in German and English • Excellent communication skills in English, including the ability to write for publication, present research proposals and results, and represent the project team at meetings and research events • Ability to work independently, manage own academic research and associated activities, and to supervise student assistants OPTIONAL QUALIFICATIONS • Strong publication record (commensurate with opportunities and experience) at relevant international conferences (computational linguistics, DH, corpus linguistics) • Experience in interdisciplinary research is a plus • Experience with deep learning approaches and/or statistical methods is a plus

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Postdoc on social data science and online harms at QMUL, London, UK
by Arkaitz Zubiaga 08 Dec '22

08 Dec '22

If you are interested in working on abusive language detection and analysis from an NLP or computational social science angle, consider applying for this postdoc opportunity with us at QMUL, London, UK. The position will involve exploring large-scale social media datasets to understand how people behave during major life transitions; devising novel methodologies to automatically target support for people during such transitions; exploring how this can be offered in a privacy-centric fashion. The role is part of AP4L project (https://ap4l.github.io/), alongside the Universities of Surrey, Cambridge, Strathclyde, and Edinburgh. Candidates should have experience in Social Computing, Data Science, Machine Learning and/or NLP, as well as good/excellent general programming skills and technical writing skills. The closing date for applications is 14th December 2022. For info and to apply: https://www.jobs.ac.uk/job/CUU622/research-assistant-or-postdoctoral-resear… Ignacio Castro <https://icastro.info/>, Gareth Tyson <https://www.eecs.qmul.ac.uk/~tysong/>, Arkaitz Zubiaga <http://www.zubiaga.org/>

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Open (tenure-track) Positions at the Department of Computer Science (DCC), University of Chile
by Felipe Bravo 08 Dec '22

08 Dec '22

The Department of Computer Science (DCC) <https://www.dcc.uchile.cl/> is offering 2 full-time permanent positions to carry out research and teaching at both undergraduate and graduate level. As assistant professors in tenure-track positions, candidates are expected to develop a strong and competitive research program. *Details and application link (in Spanish) can be found at: https://concurso-academico.uchile.cl/ <https://concurso-academico.uchile.cl/>(look for code FM2202). The application deadline is February 1st, 2023.* *Candidates* Candidates should be pursuing internationally recognized research in the following areas (one position per area is offered): 1. Theoretical Computer Science 2. Artificial Intelligence 3. Software Engineering 4. Computer Security and Privacy 5. Networking Successful candidates are expected to complement the existing strengths of the Department and its current activities. Candidates must hold a Ph.D. degree and must have demonstrated excellence in research and scholarship within the field of interest. Successful candidates will be expected to: • move to Chile (if currently living elsewhere), • establish and lead their own research team, • develop innovative research at the highest international standards, • deliver high quality teaching, • supervise undergraduate, master and PhD students, • obtain competitive research funding from external funding bodies, • write and speak English fluently, and • develop a good command of Spanish within 1 year of appointment. *The Department of Computer Science (DCC)* The DCC is the leading Computer Science Department in Chile, and one of the most prominent in Latin America. It pioneered the use of Unix and the adoption of the Internet in Chile. Today it has 21 full-time professors, where 8 come from Argentina, Uruguay, France, Ireland, and Peru. They carry out research at the highest level, publishing around 100 articles per year in international conferences and journals. The department is responsible for teaching Computer Science, with about 600 undergraduate, 80 MSc and 40 PhD students majoring in Computer Science. For further information, please contact Prof. Gonzalo Navarro ( gnavarro(a)dcc.uchile.cl). *CENIA and IMFD* Many academics at DCC form part of two well-funded research centers in Data Science and Artificial Intelligence: the National Center for Artificial Intelligence Research (CENIA) <https://www.cenia.cl/> (Funded by Programa Centros Basales, ANID, Chile) and the Millennium Institute for Foundational Research on Data (IMFD) <http://www.imfd.cl/> (Funded by Programa Milenio, ANID, Chile). Joining DCC will provide the possibility to cooperate with these centers. ------------------------------ https://comunicaciones.dcc.uchile.cl/news/650-llamado-a-concurso-academico-…

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[PhD-Position] Research Position in Speech- and Text Anonymization in Medical Domain in Berlin
by Tim Polzehl 08 Dec '22

08 Dec '22

Dear colleagues, there are 2 new PhD vacancies in the field of speech- and text anonymization in the medical domain in Berlin, Germany. Both positions are in the "Medinym" project, where the department of Speech and Language Technoplogies of German Research Center for Artificial Intelligence works jointly with the Quality and Usability Labs of Berlin Institute of Technology. In both departments, we're looking for a Researcher or Junior Researcher level, offer a 2 years contract with optional prolongation and PhD perspective. Application deadline: Dec 23 More details and links: DFKI: https://jobs.dfki.de/en/internal/vacancy/en-researcher-m-w-d-in-506968.html TU Berlin: https://tub.stellenticket.de/de/offers/157309/?locale=en Please circulate upon potentially interested. Many thanks! In case of questions pls contact me, I'm happy to help and forward you with respect to both vacancies. Best regards from Berlin, Tim -- Dr.-Ing. Tim Polzehl Senior Researcher Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) German Research Center for Artificial Intelligence Speech & Language Technology Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab DFKI Labor Berlin Alt-Moabit 91c, D-10559 Berlin, Germany Tel.: +49.30.238951863 Fax: +49 30 23895 1810 E-Mail tim.polzehl(a)dfki.de<mailto:tim.polzehl@dfki.de> ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Straße 122, 67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender) Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 -------------------------------------------------------------

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[Deadline Extended] [CFP] Special Issue on "Information Extraction and Language Discourse Processing" of Journal Information (ISSN 2078-2489)
by Jennifer D'Souza 08 Dec '22

08 Dec '22

Paper invitation **with 100% discount**. The open access journal /Information/ is arranging a Special Issue on "*Information Extraction and Language Discourse Processing*" topic. As the guest editors of this special issue, we welcome you to contribute an article or a review to this special issue: https://www.mdpi.com/journal/information/special_issues/WYS02U2GTD Furthermore, we have an extended deadline to support preparation of ongoing manuscripts and new submissions. The new deadline for the SI is /20 June 2023/. If you are interested in submitting to us, please contact the Section Managing Editor Frances Wu (frances.wu(a)mdpi.com) directly; we will retain *the 100% discount* for you. Yours cordially, Dr. Jennifer D'Souza Prof. Dr. Chengzhi Zhang *Guest Editors*

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[Deadline Extended] Cambridge NLE - Special Issue - "Natural Language Processing Applications for Low-Resource Languages"
by Dr. Partha Pakray 08 Dec '22

08 Dec '22

Dear All, We welcome submissions to the special issue of the Cambridge University Press journal <https://www.cambridge.org/core/journals/natural-language-engineering>Natural Language Engineering <https://www.cambridge.org/core/journals/natural-language-engineering> on Natural Language Processing Application on Low-Resource Languages. *Cambridge NLE - Special Issue* *Natural Language Processing Applications for Low-Resource Languages* *The deadline for submissions is Dec 25, 2022.* *Call for Papers* We welcome papers dealing with one or more of the following topics: ● *Machine Translation for Low-Resource Languages* ● *Caption Generation for Low-Resource Languages* ● *POS Tagging on Low-Resource Languages* ● *Optical character recognition and generation of Low-Resource Languages.* ● *Chatbot assistant for Low-Resource Languages* ● *Speech/Language recognition* ● *Regional music identification and classification* ● *Textual Entailment of Low-Resource Languages* ● *Face-to-Face Translation of Low-Resource Languages* ● *News/Social media analysis* ● *Text prediction and suggestion* ● *Sentiment analysis* ● *Text classification* *Important Dates* *Deadline for submissions*: November 30, 2022 *Dec 25, 2022* *First-round author notification*: Between March 30, 2023 and April 30, 2023 *Submission of revised versions*: Between June 30, 2023 and July 30, 2023 *Second-round author notification (final)*: Between August 30, 2023 and September 30, 2023 *Camera-ready versions*: Between Oct 01, 2023 and Oct 30, 2023 *Submissions* Instructions for preparing your manuscript for the *Journal of Natural Language Engineering* are available <https://www.cambridge.org/core/journals/natural-language-engineering/inform…> here <https://www.cambridge.org/core/journals/natural-language-engineering/inform…> . Please submit your article through the NLE <https://mc.manuscriptcentral.com/nle>manuscript submission system <https://mc.manuscriptcentral.com/nle>. When submitting your manuscript, please select *Natural Language Processing Applications for Low-Resource Languages *in the field *Special Issue Designation.* *Guest Editors* *Dr. Partha Pakray, National Institute of Technology Silchar* *Prof. Alexander Gelbukh, Instituto Politécnico Nacional, Mexico City, Mexico* *Prof. Sivaji Bandyopadhyay, National Institute of Technology Silchar* Yours Cordially, Thanks & Regards, *Dr. Partha Pakray* Assistant Professor (Gr. I) Department of Computer Science & Engineering National Institute of Technology Silchar Silchar, Assam, India +918259065018 (M) *pakray <parthapakray(a)gmail.com>**partha <parthapakray(a)gmail.com>**(a)gmail.com <parthapakray(a)gmail.com>* partha(a)cse.nits.ac.in

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Fwd: Webinar: Randi Reppen -- Inform teaching and learning with corpus resources and corpora, 2022-12-16, 3pm Sao Paulo
by Tony Berber-Sardinha 08 Dec '22

08 Dec '22

Webinar: Randi Reppen -- Inform teaching and learning with corpus resources and corpora, 2022-12-16, 3pm Sao Paulo LAEL Graduate Program in Applied Linguistics and Language Studies Pontifical Catholic University of Sao Paulo Antonieta Celani Distinguished Lecture Randi Reppen Northern Arizona University Title: Inform teaching and learning with corpus resources and corpora Friday December 16, 2022, 3pm, Sao Paulo time, Brazil Online talk via Zoom Register in advance: shorturl.at/bxRST Abstract: Awareness of the use of corpus-informed or corpus-based materials for language instruction has increased over the last several decades, however, there remains much to be resolved before widespread use is practical. This presentation explores three approaches for using corpora and corpus information to inform language instruction. The approaches range from using existing corpus-based research and corpus-informed materials, to carrying out classroom-based corpus research. The approaches move from: 1. a focus on teachers and existing research and materials; 2. a focus on teachers and learners using of online resources; 3. back to a focus on teachers, but with the goal of teacher as researcher. The three approaches can be used individually, or in combination depending on the instructional goals and student level. Each approach is described through detailed examples and practical classroom-based applications using freely available tools and websites.

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Multiple Open-Rank, Tenured/Tenure-Track Faculty Positions at Information Sciences and Technology at George Mason University
by Ozlem Uzuner 07 Dec '22

07 Dec '22

Department of Information Sciences and Technology at George Mason University Multiple Open-Rank, Tenured/Tenure-Track Faculty Positions The George Mason University Department of Information Sciences and Technology, within the College of Engineering and Computing (CEC), invites applications for multiple tenured or tenure-track faculty positions beginning Fall 2023. Senior candidates with established records of outstanding research and excellent teaching will be eligible for tenured associate professor or professor positions. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment. Responsibilities: Successful candidates will be expected to teach at the undergraduate and graduate levels; develop an independent, externally funded research program; advise students; participate in all aspects of the department's mission; and serve the profession. Required Qualifications: Applicants must have received a PhD in Information Science, Information Technology, Information Systems, Computer Science, or a related field by the start date of the position and should have demonstrated potential for excellence and productivity in research, and a commitment to high-quality teaching. Preferred Qualifications: Applicants in all areas of information science and technology, computing, and related areas will be given full consideration. We are particularly interested in candidates in the areas of artificial intelligence (including machine learning, natural language processing, computer vision, and knowledge engineering), data mining and analytics, cybersecurity, human centered computing (including information visualization, human computer interaction, social computing, pervasive & ubiquitous computing), network science, cloud computing, and information system design. Strong candidates from other areas will be also considered. About the Department: The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with diverse areas of research focus including cybersecurity, data mining and machine learning, natural language processing, human-centered computing, ubiquitous and mobile computing, cyber-physical systems, and engineering education. IST has one of the largest and fastest growing undergraduate major in the university, the ABET-accredited and N-CAE-CD-validated BS in Information Technology, serving more than 1,800 students. Additionally, the department has about 130 graduate students in the MS in Applied Information Technology (AIT) program and co-coordinates the MS in Information Systems program. The online MS programs in IT ranked 26th among public universities and 37th overall according to U.S. News and World Report. In addition to BS and MS programs, the department also participates in an interdisciplinary BS program in Cyber Security Engineering, MS program in Data Analytics Engineering, and a PhD program in Information Technology (concentration in IST) offered by the College of Engineering and Computing. Research expenditures of the ISTdepartment totaled about $2.2 million in FY 2022. Funding sources include NSF, DOD, DARPA, NIH, and DHHS. Faculty include NSFCAREER and NSF CRII awardees. For more information on the department, please visit our website: http://ist.gmu.edu/ <http://ist.gmu.edu/> Mason Computing: The Future of Computing is Here The College of Engineering and Computing at George Mason University is comprised of the Volgenau School of Engineering and the School of Computing. The College is a fast-growing force for innovation in research and education. Ranked nationally in the top 100 in both undergraduate and graduate education, the College boasts 10,000 students in 37 undergraduate, master's, and doctoral degree programs, including several first-in-the-nation offerings. Of the 302 full-time faculty who comprise the College, 93 are tenured, 75 are tenure-track, 82 are instructional faculty, and 52 are research faculty. As part of a nationally ranked research university, its research teams expended more than $70 million in sponsored research awards last year and have projects with over $400 million in current and anticipated awards. Located in the heart of Northern Virginia's technology corridor, Mason Engineering stands out for its research in many leading areas including artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, autonomous systems, 5G communications, systems architectures, computational biomedicine, community-based healthcare, advanced materials and manufacturing, sustainable infrastructure, and more. The College highly encourages multidisciplinary research and provides faculty with opportunities to work with other disciplines. George Mason University is the largest and most diverse public research university in Virginia, with an enrollment of 40,000 students studying in over 200 degree programs. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. It was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education. Mason is located in the city of Fairfax in Northern Virginia at the doorstep of the Washington, D.C., metropolitan area, with unmatched geographical access to several federal agencies and national laboratories. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation, providing excellent opportunities for interaction with industry. Fairfax is consistently rated as being among the best places to live in the country and has an outstanding local public school system. In conjunction with Amazon's decision to establish a second headquarters in Northern Virginia, the Commonwealth of Virginia announced a multi-year plan to invest in the growth of degree programs in computing. George Mason University has committed to accelerate its plans to increase its capacity in engineering and computing. Some of the university's exciting plans are the launch of the Institute for Digital InnovAtion, a university think tank and incubator to serve the digital economy, and the expansion of its Arlington Campus with a 360,000 square foot building–Fuse at Mason Square. Fuse will become the nexus of Mason's transdisciplinary research, entrepreneurship, and academic program efforts in digital innovation, and will unite the public and private sectors in a collaborative alliance to address the world's grand challenges. Special Instructions to Applicants For full consideration, applicants must apply for position number F815AZ at http://jobs.gmu.edu/ <http://jobs.gmu.edu/>; complete and submit the online application; and upload a statement of professional goals including their perspective on teaching and research (to attach as 'Other Doc'), a complete CV with publications, a statement on what diversity and inclusion means to them (to attach as 'Other Doc 2'), and the names of three professional references with contact information.

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