Post-doctoral Research Fellowship in Linguistics

Application date: 1. October 2018

Ref. nr.: 2018/1669

 

Please find the online application here: https://www.jobbnorge.no/en/available-jobs/job/153239/post-doctoral-research-fellowship-in-linguistics

One Post-doctoral Research Fellowship within Linguistics (Cognitive Linguistics: Empirical Approaches to Russian) is available in the Department of Language and Culture at the University of Tromsø – The Arctic University of Norway (UiT). The position is affiliated with the CLEAR research group, Cognitive Linguistics: Empirical Approaches to Russian.

The appointment is a fixed term position for a period of three years.

The Post-doctoral Research Fellowship aims to qualify the researcher for work in senior academic positions. A candidate may not be appointed to more than one fixed term position as a Post-doctoral Research Fellow at the same institution.

For further information about the position (and the project), please contact please contact Professor Laura A. Janda, e-mail: laura.janda[å]uit.no

Please note:

  1. It is not necessary to translate any documents from Russian to English in order to apply for this position. Please ignore instructions to do so.
  2. It is not necessary to have a completed PhD in order to apply for this position. If your PhD will be completed before the beginning of the position (in about 10 months), you are welcome to apply.
  3. Please be sure to complete the online application process well in advance of the deadline so that you do not run into technical problems. If you have any questions about the application process please do not hesitate to contact Laura Janda.
Рубрика: Курсы/Образование/Постдоки | Добавить комментарий

Doctoral Research Fellowship in Linguistics (Cognitive Linguistics: Empirical Approaches to Russian)

Application date: 20. August 2018

Ref. nr.: 2018/2003

 

Please find the online application here: https://www.jobbnorge.no/en/available-jobs/job/153214/doctoral-research-fellowship-in-linguistics-cognitive-linguistics-empirical-approaches-to-russian

One Doctoral Research Fellowship (PhD) within Linguistics (Cognitive Linguistics: Empirical Approaches to Russian) is available in the Department of Language and Culture at the University of Tromsø – The Arctic University of Norway (UiT). The position is affiliated with the CLEAR research group, Cognitive Linguistics: Empirical Approaches to Russian.

The appointment is a fixed term position for a period of four years.

The purpose of the PhD Research Fellowship is research training leading to the successful completion of a doctoral dissertation to be defended publically. The candidate will be affiliated with the Faculty’s organised research training, and the academic work must result in a doctoral thesis aiming to obtain the degree of PhD within the period of employment. Admission to a PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position.

The successful candidate must meet the requirements for admission to the Faculty’s PhD program, cf. § 6 of UiT PhD regulations. Moreover, the applicant must prove English language proficiency equivalent to the standards of Norwegian Higher Education Entrance Qualification, see PhD Regulations UiT.

 

For more information, see also uit.no/hsl/phd.

 

For further information about the position (and the project), please contact please contact Professor Laura A. Janda, e-mail: laura.janda[å]uit.no

Please note:

  1. It is not necessary to translate any documents from Russian to English in order to apply for this position. Please ignore instructions to do so.
  2. Please be sure to complete the online application process well in advance of the deadline so that you do not run into technical problems. If you have any questions about the application process please do not hesitate to contact Laura Janda.
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Корпусные и компьютерные технологии и лингвистические проблемы

12-14 октября 2018 г.

 

Школа лингвистики Факультета гуманитарных наук НИУ ВШЭ и Факультет гуманитарных наук НИУ ВШЭ – Нижний Новгород приглашают вас принять участие в Международной научно-практической конференции «Корпусные и компьютерные технологии и лингвистические проблемы».

Конференция пройдёт в кампусе НИУ ВШЭ в Нижнем Новгороде.

Тематика конференции

Сегодня компьютерные и корпусные технологии в исследованиях языка и обучении языкам занимают ведущее место, наряду с традиционными методами анализа. Постоянно создаются новые корпусные ресурсы, новые программные средства для анализа языка: морфологической разметки, синтаксического анализа, транскрипции и транслитерации языков с редкими системами письма и т.д.

С одной стороны, развитие языковых технологий даёт возможность анализа разнородных языковых данных, в том числе резко отличающихся от материала литературных европейских языков: например, устной речи, материала языков с самыми разнообразными графическими системами, диалектных данных. В сфере типологии развиваются компьютерные подходы к организации языковых выборок и подсчёту данных. С другой стороны, новые данные выдвигают и новые проблемы, решение которых специалисты по компьютерной лингвистике только ищут.

Именно поэтому необходимы встречи, где специалисты в разных областях компьютерной парадигмы лингвистики могут поделиться своими разработками, идеями и взглядами на развитие своей научной  парадигмы.

Конференция «ConCorT» была впервые проведена в 2013 году и с тех пор стала ежегодной. Каждый раз в программе появляется что-нибудь новое и интересное: например, в 2016 и 2017 годах была организована специальная секция по применению компьютерных технологий и статистики в исследованиях по лингвистической типологии.

В этом году конференция проводится совместно московским и нижегородским кампусами НИУ ВШЭ. Мы надеемся, что в докладах будет представлен максимально широкий спектр докладов на компьютерно-лингвистические темы и выступлений, связанных с применением современных технологий в теоретических исследованиях. Приветствуется материал любых языков и языковых разновидностей (диалектов, разговорной речи, интернет-коммуникации, языковых практик иностранцев и т.д.).

Среди приглашённых докладчиков этого года – специалисты в области компьютерной лингвистики и электронного представления текста.

В рамках конференции планируется организовать несколько специальных сессий:

— практическую сессию представления языковых ресурсов и программ, где слушатели смогут сами попрактиковаться в их применении;

— постерную сессию по компьютерной лингвистике;

— сессию по лингвистической типологии и обработке нестандартного языкового материала.

Предполагаемый список приглашённых докладчиков:

Мальвина Ниссим (Гронингенский университет)

Александр Розен (Карлов университет в Праге)

Джонатан Норт Вашингтон (Суортмор-колледж, США)

 

Цели и задачи конференции:

 

—   Содействовать распространению корпусных технологий в гуманитарных науках и, в целом, дигитализации и компьютеризации гуманитарного знания

—   Представить результаты применения корпусных технологий в лингвистических исследованиях

—   Объединить экспертное сообщество широкого гуманитарного профиля вокруг новых методологий анализа

—   Привлечь молодых исследователей к занятию данной научной проблематикой.

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ECIR 2019 Call for Submissions

The BCS-IRSG European Conference on Information Retrieval is the prime European forum for the presentation of original research in the field of Information Retrieval.

We kindly invite submissions to be published and presented at the 41st ECIR 2019 in Cologne, Germany on the 14th-19th of April, 2019http://www.ecir2019.org<http://www.ecir2019.org/>

** Now A Rated by CORE **
** New Track on New & Emerging Applications in IR **
** New Paper format 12 pages plus extra pages for references **

Topics of Interest
ECIR 2019 is seeking high-quality and original submissions on theory, experimentation, and practice regarding the retrieval, representation, management, and usage of textual, visual and multi-modal information. ECIR strongly supports user, system, application, and evaluation focused papers:

*
User aspects including information  interaction, contextualisation, personalisation, simulation, characterisation, and information behaviours.
*
System aspects including retrieval and recommendation algorithms, machine learning, deep learning, content representation, natural language processing, system architectures, and efficiency methods.
*
Applications such as search and recommender systems, web and social media apps, domain specific search (professional, bio, chem, etc.), novel interfaces, intelligent search agents/bots, and related innovative search tools.
*
Evaluation research including new measures and novel methods for the measurement and evaluation of users, systems and/or applications.

In addition to these traditional topic areas, ECIR 2019 will be encouraging the submissions of papers on:

*
New and Emerging Applications of IR including eHealth, precision medicine, early risk prediction, incident streams, digital text forensics, cultural and social informatics, life and biodiversity retrieval, living lab evaluations, conversational and intelligent search agents, and search as learning.

Full Paper Track

The Full paper track provides the opportunity for researchers to present their state of the art research in Information Retrieval, which makes, or have the potential to make, a significant contribution to the field.  Full paper submissions should be 12 pages in length plus additional pages for references.

Short Paper Track

The Short Paper Track calls for  original contributions presenting novel, thought-provoking ideas and addressing innovative application areas within the field of Information Retrieval. The inclusion of promising (preliminary) results is encouraged but not required. Papers that stimulate and promote discussion are particularly encouraged. Short paper submissions should be 6 pages in length plus additional pages for references.

Reproducibility Track
ECIR also strongly encourages the submission of reproducibility papers that repeat and analyze prior work. In particular we solicit classical reproducibility papers, which replicate prior experiments and show how, why, and when the methods work (or not), along with two other types of reproducibility papers: generalizability papers, that focus on assessing how well technology performs in new contexts  (e.g., different time, location, access device, task), and predictability papers, that focus on developing theory and methods that assess and evaluate how generalizable methods are and whether they will work in other contexts.

Reproducibility submissions are welcome in any of the ares related to aspects of Information Retrieval, and either fits with the classical or alternative types of reproducibility papers. Reproducibility submissions should be 12 pages in length plus additional pages for references.

Demonstration Track

The Demo Track  provide the opportunity for researchers to present their research prototypes and operational systems which they wish to share with the community, obtain feedback from experts, and exchanges knowledge on implementing and developing such systems. Submissions should clearly define their purpose, scope, and audience. All submissions should provide a URL to a live online version of their demo or, alternatively, provide a URL to a video showcasing the main features of their demo. Demonstrations that make their source code freely available are especially encouraged.

Demonstration submissions are welcome in any of the areas related to Information Retrieval (IR), as identified in the Topics of Interest listed above. Demo submissions should be 4 pages in length plus additional pages for references.

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PhD position in Data-Driven Computational Semantics and Geographic Information Systems — Utrecht University Application deadline: September 1, 2018

Job description
The Utrecht Institute of Linguistics (UiL OTS) invites applications for a PhD position in data-driven computational semantics. The project will develop computational models of spatial meaning that are theoretically grounded in linguistic and cognitive theories of meaning. This novel combination of semantic representation, data-driven learning and evaluation against a real-life problem is expected to substantially advance the ability of users to interact with geographic databases, including question-answering interactive systems. 

The project will be supervised by Dr. Tejaswini Deoskar and Prof. Yoad Winter, in collaboration with Dr. Joost Zwarts and NLP researchers from the Language and Computation group at the ILLC, University of Amsterdam (Prof. Khalil Sima’an, Dr. Jelle Zuidema). The empirical study of elicited user data will be carried out in collaboration with Prof. James Hampton (Psychology, City, University of London). Work at the UiL OTS will be part of the ROCKY project, financed by an ERC Advanced grant to Prof. Yoad Winter.

Requirements
The successful applicant for this position should have a strong background in artificial intelligence, machine-learning and computer science as well as an interest in formal semantics. Applicants should ideally hold, or be about to complete, an excellent Master's degree in computational linguistics or a related domain (artificial intelligence, machine learning and/or computer science). Good programming skills, proficiency in spoken and written English, as well as a keen interest in problem solving and research are essential.

Tasks
Tasks for the PhD candidate will include:
- completion and defence of a PhD thesis within four years;
- regular presentation of intermediate research results at workshops and conferences;
- publication of peer-reviewed articles in established international journals or conference proceedings;
- help with organizational tasks connected to the project, such as the organization of conferences and workshops;
- participation in training programmes and expert meetings scheduled for the project;
- participation in selected training programmes scheduled for the Research Institute, Graduate School and the National Research School.

Qualifications
The successful applicant for this position should have a strong background in artificial intelligence, machine-learning and computer science as well as an interest in formal semantics. Applicants should ideally hold, or be about to complete, an excellent Master's degree in Computational Linguistics or a related domain (Artificial Intelligence, Machine Learning and/or Computer Science). Good programming skills, proficiency in spoken and written English, as well as a keen interest in problem solving and research are essential.

Offer
The successful candidate will be appointed on a fixed-term full-time basis (1.0 FTE), starting 1 September 2018 or soon thereafter. The appointment is initially for a period of 18 months. Upon good performance and a positive evaluation, the contract will be extended for the remaining period of 30 months (4 years in total). The gross monthly salary starts at €2,266 in the first year, and ends at €2,897 (Scale P Collective Labour Agreement Dutch Universities) gross per month for a full-time employment. Salaries are supplemented with a holiday bonus of 8 % and a year-end bonus of 8.3 % per year. We offer a pension scheme, (partly paid) parental leave, collective insurance schemes and flexible employment conditions (multiple choice model). More information is available at: working at Utrecht University..

About the organization
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.
The Faculty of Humanities has around 6,000 students and 900 staff members. It comprises four knowledge domains: Philosophy and Religious Studies, History and Art History, Media and Culture Studies, and Languages, Literature and Communication. With its research and education in these fields, the Faculty aims to contribute to a better understanding of the Netherlands and Europe in a rapidly changing social and cultural context. The enthusiastic and committed colleagues and the excellent amenities in the historical city center of Utrecht, where the Faculty is housed, contribute to an inspiring working environment.
The UiL OTS is part of Utrecht University, one of the largest comprehensive universities in Europe, with a rich history dating back to 1636. The institute offers a very international English-speaking research environment. Researchers at UiL OTS are distributed across 6 research groups, focusing on the following range of linguistic subdomains:  Language, Logic and Information (to which the current project belongs), Linguistic Theory and Language Acquisition, Language Processing and Language Pathology, Language Variation, Language and Education, Language and Communication. It comprises approximately 20 Full Professors, a dozen Postdocs and roughly 40 PhD students. The institute is located in the beautiful and historic city of Utrecht, with excellent connections to both Amsterdam (20 minutes by train) and to the rest of Europe and beyond.

Additional information
If you are interested, please contact the Project Director (Yoad Winter - http://www.phil.uu.nl/~yoad/) or the Research Coordinator at UiL OTS (Maaike Schoorlemmer - m.schoorlemmer@uu.nl) for more information.

Apply
Applications should consist of the following materials:
- a cover letter of maximum two A4 pages explaining the applicant’s reasons for applying for the position and how they can contribute to the project in terms of expertise;
- a cv including personal and contact details;
- a writing sample of maximum 7,000 words. This can (but need not) be a chapter of the applicant’s Master’s thesis. In this case, however, it is expected that the writing sample would still be sufficiently self-contained;
- copies of relevant diplomas and grade transcripts (these need not be certified at the time of application, but it is expected that certified copies can be provided at a later date);
- names and full contact details of two academic referees.
Please include your name and a reference to the position you are applying for in the filenames and use the application button below to apply.

Applications are only accepted through the job interface of the Utrecht University:
https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4124&VacatureID=976749

Interviews will be held on September 17, 2018.

The application deadline is
September 1, 2018
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реподаватель специальных предметов по прикладной лингвистике Inbox x

В связи с закрытием технической кафедры, которая вела специальные предметы для студентов направления «Теоретическая и прикладная лингвистика», кафедра иностранных языков Санкт-Петербургского государственного университета аэрокосмического приборостроения ищет преподавателя/-лей на 0,5 ставки (450 часов) или на почасовку (до 300 часов в год) на следующие предметы:

— Информационный поиск и извлечение информации (для студентов профиля «Теоретическая и прикладная лингвистика»

— Информационные технологии в лингвистике (для студентов обоих профилей — «Перевод и переводоведение» и «Теоретическая и прикладная лингвистика»)

— Компьютерные программы в лингвистических исследованиях (для студентов профиля «Теоретическая и прикладная лингвистика»)

— Машинное обучение (для студентов профиля «Теоретическая и прикладная лингвистика»)

— Технологии обработки текста и звучащей речи (для студентов профиля «Теоретическая и прикладная лингвистика»)

— Квантитативная лингвистика и новые информационные технологии (для студентов магистратуры обоих указанных выше профилей)

— Математическая лингвистика (для студентов магистратуры профиля «Теоретическая и прикладная лингвистика»)

Дисциплины распределены по учебному году (часть из них читается в осеннем, другая — в весеннем семестре). Не обязательно брать все перечисленные курсы, объем нагрузки обсуждается, может быть предложена своя программа курса. Занятия проходят в компьютерном классе, возможна также организация интерактивных занятий. Расписание обсуждается, и обычно мы стараемся удовлетворить все требования совместителей.

Заработная плата зависит от наличия ученой степени и/или ученого звания (с размером ставки можно ознакомиться на сайте вуза — http://new.guap.ru/pol_o_trud).

Присылайте, пожалуйста, резюме на рабочий адрес секции «Теоретической и прикладной лингвистики»: al[å]hf-guap.ru или лично Полине Эйсмонт: polina272[å]hotmil.com

Пожалуйста, передайте эту информацию всем, кого она могла бы заинтересовать!

 

Рубрика: Вакансии/Стажировки | Добавить комментарий

FoTran 2018: Found in translation The first workshop on representation learning from multilingual data

Date: September 28, 2018
Place: University of Helsinki
Website: https://blogs.helsinki.fi/language-technology/fotran2018/

Participation is free of charge (space limits may apply)
but requires registration: https://goo.gl/forms/NkV3zRkQr0qRabKp1

The program features invited talks by:

* Kyunghyun Cho, NYU, New York
* Waleed Ammar, Allen Institute for AI
* André Martins, Unbabel, Lisbon
* Ivan Vulić, University of Cambridge
* Željko Agić, IT University of Copenhagen

The goal of this workshop is to bring together researchers that are
interested in learning meaning representations from natural languages
using multilingual data sets. The main focus is on the use of
translations as “semantic mirrors”, allowing to infer meaning from
translational grounding. With this, FoTran 2018 also constitutes the
start of an ERC project with the same name
(https://blogs.helsinki.fi/found-in-translation/) and we hope that
this event will set up a growing network that we will make use of
during the project. Topics of special interest of this kickoff-event
are not restricted to the objectives of the ERC project but include:

* sentence representation learning in general
* multilingual neural machine translation
* cross-lingual NLP and transfer models
* approaches to natural language inference
* interpretation and analyses of neural networks used for NLP

We invite participants to present their own work as short
presentations or posters and we encourage the re-use of talks and
posters from previous events. There is no call for papers nor any
proceedings but we would like to publish presentations on-line
(slides, posters, abstracts or similar) on the workshop website after
the event if the speakers agree.

Local Organisation Team

Jörg Tiedemann
Hande Celikkanat
Raul Vazquez

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новая магистратура по компьютерной лингвистике — подавать до 6го августа

Новая междисциплинарная магистерская программа

Новосибирского государственного университета

Математическая и компьютерная лингвистика

Направления подготовки:

02.04.01 Математика и компьютерные науки. Профиль: Математическая и компьютерная лингвистика

45.04.01 Филология. Профиль: Математическая и компьютерная лингвистика

Нормативный срок обучения – 2 года

Программа нацелена на подготовку специалистов по теории и практике создания математических и компьютерных инструментов для работы с информацией, содержащейся в устных и письменных текстах на естественном языке.

Программа даёт уникальную возможность:

приобрести знания и опыт для создания и использования инструментов общего назначения, ориентированных на работу с естественным языком;

приобрести углублённые знания по смежным областям математики и лингвистики;

приобрести большой опыт междисциплинарного взаимодействия, осуществляемого на протяжении всего периода обучения в рамках учебной и проектной работы.

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AINL 2018: final call for paoers

http://ainlconf.ru/cfp

По просьбам потенциальных участников мы продлили дедлайн до 3го июня. Не упустите свой шанс!

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Call for participation: 12th Russian Summer School in Information Retrieval (RuSSIR 2018), August 27-31, 2018, Kazan, Russia

12th Russian Summer School in Information Retrieval (RuSSIR 2018)

August 27-31, 2018, Kazan, Russia, http://romip.ru/russir2018/

Application deadline: July 10, 2018

SPECIAL TOPIC:
*Information Retrieval for Good*
The school will be held with a special focus on applications in humanitarian, medical, and health domains.

The 12th Russian Summer School in Information Retrieval (RuSSIR 2018) will be held on August 27-31, 2018 in Kazan, Russia. The school is co-organized by the Kazan Federal University and the Russian Information Retrieval Evaluation Seminar (ROMIP).

The main goals of the RuSSIR school series are to enable students to learn about modern problems and methods in information retrieval and related disciplines; to stimulate scientific research and collaboration in the field; to create an environment for successful networking between scientists, students, and industry professionals.

RuSSIR 2018 will offer the following keynotes and courses:

Keynotes:
* Carlos Castillo (Universitat Pompeu Fabra) — “Crisis Informatics”, “The Biases of Social Data”

* Cathal Gurrin (School of Computing, Dublin City University) — “The Information Retrieval Challenge of Lifelogs and Personal Life Archives”

* Henning Müller (University of Geneva) — “Evaluation of IR systems and multi-modal retrieval in the medical domain”

Courses:

* Valentin Malykh, Mikhail Burtsev (Moscow Institute of Physics and Technology) — “Conversational AI through Deep Learning”

* Rishabh Mehrotra (Spotify Research) — “Learning from User Interactions”

* Guido Zuccon (Queensland University of Technology) — “Health Search”

* Harrie Oosterhuis (University of Amsterdam) — “Learning to Rank and Evaluation in the Online Setting”

* Prasenjit Mitra (Pennsylvania State University) — “Retrieving Information Interactively Using Natural Language”

Summer school participants will be provided with space and timeslot to present their current research projects/ideas at poster sessions to get feedback from the fellow students and the lecturers.

In addition to educational and social activity, the school will have a versatile social program.

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