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Jobs Posted on the Whova Community Board of COLING 2020

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Postdoctoral researcher
University of A Coruña
Full-time postdoctoral position in A Coruña (Spain) to conduct research in the field of Natural Language Processing (NLP). The position is available within the European Research Council (ERC Starting Grant) project FASTPARSE - Fast Natural Language Parsing for Large-Scale NLP. More information at the linked website.
Link: https://fastparse.grupolys.org/job-vacancies
PhD Student
University of A Coruña
We offer paid PhD studentship positions in NLP focusing on syntactic/semantic parsing, applications of syntax to downstream tasks, efficient/green NLP, multilinguality, low-resource NLP, at one of the most active NLP research groups in Spain. Contact cgomezr@udc.es for more information.
Link: http://fastparse.grupolys.org
Postdoctoral researcher
Cardiff University
3-year Research Associate position at Cardiff NLP (School of Computer Science and Informatics, Cardiff University) associated with Jose Camacho-Collados’s UKRI Future Leaders Fellowship on language understanding.

Deadline to apply: December 14

More info at https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=30011&siteid=5460&AReq=10541BR#jobDetails=1754059_5460
Link: https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=30011&siteid=5460&AReq=10541BR#jobDetails=1754059_5460
Full-time PhD studentship on multimodal dialogue
The Open University
The Open University, School of Computing and Communications, Milton Keynes, UK

and

Cambridge Research Laboratory - Toshiba Europe

Closing Date for applications: *12 December*, 2020 - 17:00
Studentship start: from February 2021

Project information

This research project will be in the context of a collaboration between the NLP/Software Engineering teams at the Open University and Toshiba Europe. It will involve investigating and developing an AI buddy/dialogue system for pair programming, which can collaborate with a software developer on solving a programming problem (either from scratch or by completing a skeleton program). A distinctive aspect of the project will be the exploration of multimodal communication by the AI buddy. There is scope to focus on specific modalities depending on the strengths and interest of the student.

Keywords: dialogue modelling, question generation, pair programming, multimodality

Key skills: 1st class computer science degree, knowledge of Artificial Intelligence techniques, ideally including NLP and multimodality

Supervisors: Dr Paul Piwek, Dr Svetlana Stoyanchev & Dr Michel Wermelinger

Get in touch asap via email with Paul.Piwek at open.ac.uk for more information on applying for this funded studentship.

Link: http://mcs.open.ac.uk/pp2464/phd-studentship-2020.html
MA/PhD Positions
Hamad Bin Khalifa University
We offer full scholarships/housing for outstanding international students planning to work on computational social sciences, Digitial Humanities, and Natural Language Processing. You will join the HBKU College of Humanities and Social Sciences (CHSS) at a growing national research university located in Qatar Foundation Campus in Doha, Qatar. Please send your CV directly to: wzghouani@hbku.edu.qa
Link: https://www.hbku.edu.qa/en/chss
Post-doctoral Researcher in Dialogue Modelling
Heinrich Heine University
We are looking for someone just like you to join our ERC-funded project DYMO: Dynamic Dialogue Modelling! The goal of the project is to develop the next generation of statistical dialog systems that are dynamically extensible in terms of their knowledge, management and generation. The project also involves building realistic user models and sophisticated reward mechanisms. The position is for 3 years.
Link: https://www.cs.hhu.de/en/research-groups/dialog-systems-and-machine-learning-prof-dr-milica-gasic/jobs.html
Postdoctoral Researcher (Pronoun Models for NMT)
Uppsala University
18-month position for a postdoctoral researcher working on the development of advanced models to represent pronouns and referring expressions in Neural Machine Translation. Application deadline: 11 Jan 2021. The official job posting will appear in a few days, but don't hesitate to contact me for more information already now!
Link: https://christianhardmeier.rax.ch/
NLP Research Intern
Snap Inc.
The Computational Social Science team at Snap Research (part of Snap Inc., the company behind Snapchat, Bitmoji, and Spectacles) is looking for candidates for the internship 2021 program. The candidates should be pursuing a Ph.D. in Natural Language Processing or related fields. The research internship focus can be on several domains, including, but not limited to: computational social science, social media, fairness, and multimodality.

For more information:
https://snap.submittable.com/submit/176934/2021-research-internship-application
Link: https://snap.submittable.com/submit/176934/2021-research-internship-application
2 PhD positions in semantics/pragmatics
University of Stuttgart
The advertised positions are part of a long-term research effort on modeling sources of misunderstanding in written text. A substantial amount of previous work has studied misunderstandings in dialogue, but suitable resources for written language are scarce because misunderstandings cannot be observed directly from a text. Since readers and writers typically do not interact, it is important for authors to ensure that texts leave no room for misinterpretation. Otherwise, for example, medical instructions may be followed incorrectly, and route directions may not guide navigators to their desired destination. The goal of this project is to create the resources and methods necessary to prevent such outcomes.

Over the course of this year, we published three papers in CL/NLP conferences (check the COLING schedule for one of them!), which form the basis of ongoing and future work in the project. The successful applicants for the two new posts will focus on investigating lingustic causes of potential misunderstandings (e.g., specific cases of implicit or underspecified language), improving classification models by incorporating additional information (e.g., commonsense knowldge or multi-modal context), and testing such models in downstream tasks (e.g., ambiguity detection or machine translation). Both positions will be available for up to three years, starting in early/mid 2021. 
Link: https://www.ims.uni-stuttgart.de/institut/aktuelles/news/Two-PhD-positions-on-Models-of-Misunderstanding/
Research scientist, Multi-modal AI
Samsung AI Toronto
An amazing opportunity to do cutting-edge research at the intersection between Computer Vision and NLP. Come work with a fantastic team of scientists and engineers, in a highly collaborative and interdisciplinary environment. For more info and to apply see link below. I'll be around at COLING if you have any questions.
Link: https://www.linkedin.com/jobs/view/2208422510
Postdoc in Computational Linguistics
Stony Brook University
I am looking for a postdoc to work on one or more of the following issues: Arabic NLP, semantic parsing, source-and-target belief and sentiment, written conversations. Email me for more details: Owen Rambow, owen.rambow@stonybrook.edu .
Link: None
Full-time and Intern Positions open at DATAMINR!
Dataminr
Dataminr (https://www.dataminr.com/) is an AI company which provides alerts on breaking events around the world as they happen! More specifically, we surface the earliest signals of unfolding events and emerging risks within an increasingly diverse and complex landscape of publicly available information, enabling more effective risk mitigation strategies, faster response, and better crisis management. Dataminr serves thousands of professionals in 70+ countries by delivering timely, relevant, and actionable alerts to public (such as emergency responders) and private sector organizations around the world.

Given our scope, our research ranges from NLP to CV to Multimodal to Data Science. For NLP in particular, topics include multilinguality, summarization, compute at scale, core NLP (NER, Event Extraction, etc.), social media analysis, among others! Our group is young but we have papers at CVPR, AAAI and COLING this year. Please ping me if you are interested in learning more about full-time opportunities and research internships!

* Research Scientist (NLP): https://grnh.se/df5c90211us
* Research Scientist (CV): https://grnh.se/fa5900731us
* Research Scientist (IR, RecSys): https://grnh.se/eb8620f11us

* Senior Research Engineer: https://grnh.se/eabb03f81us
* Research Engineer: https://grnh.se/80bbff611us

* NLP/CV/ML Research Internships (Spring): https://grnh.se/d31ee91c1us
* NLP/CV/ML Research Internships (Summer): https://grnh.se/eeb8e5231us

* HCI Research Internships (Spring): https://grnh.se/259d43631us
* HCI Research Internships (Summer): https://grnh.se/7d5805681us


Link: https://www.dataminr.com/careers#artificial-intelligence
Data Scientist / Machine Learning Engineer
Apple
Join Apple’s NLP team: see more at https://jobs.apple.com/en-us/details/200207828/ai-ml-data-scientist-machine-learning-natural-language-siri-understanding?team=MLAI
Link: https://jobs.apple.com/en-us/details/200207828/ai-ml-data-scientist-machine-learning-natural-language-siri-understanding?team=MLAI
Computer Science Professor (Open Rank)
New York University Abu Dhabi
The Division of Science at NYU Abu Dhabi (NYUAD) invites applications for tenure-track open-rank faculty positions within its Computer Science Program. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission. Faculty within the Program of Computer Science at NYUAD are highly collaborative and pursue cutting edge research that is highly interdisciplinary. The internationally renowned research projects in fields that include, but are not limited to: artificial intelligence; bioinformatics; cybersecurity; computational geometry; computer social science; human data interaction; information and communication technologies for development; natural language processing; and theoretical computer science.

Available openings are at the Assistant, Associate, and Full Professor rank (tenured/tenure-track). Applicants who hold a PhD should demonstrate an outstanding track record for their career stage, in both research and teaching. This includes having publications in leading peer-reviewed journals or conferences, as well as experience in or the potential to lead research projects and secure research funding. As part of a multi-year hiring plan, we are interested in excellent candidates from all areas of Computer Science, including, but not limited to the fields where we have current strengths.

Link: https://apply.interfolio.com/77776
Computer Science - Visiting Professor
New York University Abu Dhabi
The Division of Science at NYU Abu Dhabi is searching for accomplished visiting faculty in Computer Science to educate the next generation of global leaders. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.


Applicants should have a relevant PhD and demonstrate an outstanding track record for their career stage in both research and teaching. The visiting position is typically for one academic year and the expected teaching load is four courses with relatively small class sizes.
Link: https://apply.interfolio.com/76814
Computer Science Lecturer
New York University Abu Dhabi
The Division of Science at NYU Abu Dhabi (NYUAD) invites applications for the position of lecturer, non-tenure track, with the rank open, depending on experience within its Computer Science Program. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.

Applicants who hold a PhD should demonstrate an outstanding track record for their career stage, in both research and teaching. They are expected to be inspirational teachers and mentors. Successful candidates will instruct undergraduate courses, with an emphasis on introductory and required courses of the Computer Science program. They will also have the opportunity to supervise capstone projects on research questions that they propose.
Link: https://apply.interfolio.com/77775
Postdoc/PhD/MSc at UofA
University of Alberta
Hi all, this is Lili Mou from the University of Alberta. My current research is mainly in unsupervised text generatin and weakly supervised reasoning for text understanding. I am recruiting for MSc/PhD/postdoc. If you are interested in a chat, please let me know.
Link: https://lili-mou.github.io/
Analytical Linguist
Grammarly
Grammarly is looking for an Analytical Linguist to join our Natural Language Processing team. We use a combination of machine learning, deep learning, and pattern-based methods to drive our high-quality writing feedback. Analytical linguists are essential to improving the quality of our checks, developing training and evaluation sets for our statistical approaches, and conducting user experiments. The team you will be partnering with is critical to moving forward Grammarly’s data-based approaches. More information: https://grnh.se/e8ffabc11us
Link: https://grnh.se/e8ffabc11us
NLP Algorithm R&D Engineer (Full-time/Intern)
Baidu
Description:
⁃ Keep up-to-date on machine learning and natural language processing technologies and use them to solve problems.
⁃ Design NLP algorithms and implement them in Baidu’s products and business.
⁃ Work on deep learning algorithms for NLP (semantic representation, discourse understanding, sentiment analysis, text generation, question answering, dialogue system, machine translation, etc.)

Qualifications:
⁃ Bachelor’s degree in Computer Science, Machine Learning, Mathematics, a related field or equivalent practical experience.
⁃ Strong knowledge of data structures and algorithms, programming experience in C, C++ or Python.
⁃ Research experience in NLP technologies such as pre-training, low-resource learning, dialogue system, natural language understanding and natural language generation.
⁃ Publication of academic results in academic journals and conferences in NLP-related fields (EMNLP, ACL, COLING…) is preferred.
⁃ Ability to work in a high-pressure environment, team player with excellent communication skills, strong sense of responsibility.
Link: nlp.baidu.com
Bloomberg AI Group - full time and research internship opportunities
Bloomberg LP
Bloomberg offers unparalleled coverage across News and Social Media, Alternative Data, Research, and Live Markets to our clients. In addition, we provide advanced tools to retrieve information, run analyses and execute trades. Bloomberg's Artificial Intelligence (AI) group is the central group of researchers and engineers working to bring relevant, meaningful, tradable, and actionable financial information to our clients using Artificial Intelligence.

Some products we build include:

- Real-time analytics over news, social media and structured market data
- Federated search and discovery through question answering and information extraction
- Automation for workflows and content generation
- Dialogue understanding for trades or earning calls
- Security and portfolio pricing
- Models and software for fundamental problems in ML, NLP, and IR

All with more strict latency constraints than most academic and industry standards.
We build customer-facing products, as well as AI infrastructure and algorithms used by engineers across the company. We also publish papers (see techatbloomberg.com/ai), attend conferences, organize workshops, and contribute back to the larger AI and open source community whenever we can. Broadly, we are looking for colleagues to who are passionate about:

- Software engineering
- Parallel and distributed systems
- Natural language processing
- Information retrieval
- Information extraction
- Reinforcement learning
- Graphical models
- Recommender systems
- Knowledge graphs
- Parallel and distributed computing
- Automatic speech recognition
- Machine learning for finance (pricing and recommendation)

If you are interested in the full time roles on the AI team, please fill out the form below:
https://forms.gle/iyi2FNczxDhL7Azzu8

If interested in the data science internship, please fill out the form below: https://forms.gle/tiDDCQDcdNXX7dHb9
Fully funded Post-Doc or PhD position in Berlin area
HPI, University of Potsdam
The AI Group at HPI, University of Potsdam led by Gerard de Melo is looking for post-docs and PhD students to join our group. Both Post-docs and PhD students get a monthly salary or stipend to work on topics in areas such as semantics, multilingual NLP, knowledge graphs, and of course deep learning.

More information at http://nlp-phd.org
Link: http://nlp-phd.org
Pos-doc + 2 PhD positions in NLP / UPF Barcelona
Universitat Pompeu Fabra / LaSTUS lab / TALN / DTIC
In the context of the recently funded EU H2020 SignON Project the TALN research group at UPF/Barcelona (!) will soon open 3 positions (1 Post-doc and 2 PhD positions) in the areas of text analysis, text simplification, and text generation. If you are interested in working with us in this exciting project in the area of Sign Language translation do not hesitate to contact me during COLING and in the coming weeks.

https://signon-project.eu/
Link: https://www.upf.edu/web/taln
Zalando AI interships
Zalando
We are looking for Master students and Ph.D. students in the final phase of their studies with a research focus on Machine Learning and AI. While submissions are open for all research disciplines within ML & AI, ultimately candidates with topics and experience that match closely with the team’s research areas will be selected.

During the 12-24 week internship programme you will be integrated into the adopting team’s structure and become a temporary team member. The internship programme includes a dedicated learning path developed by our learning and development team, the Tech Academy. You will also have a dedicated mentor during your programme.

You will be working on business-relevant projects that will be possible to finalize within 3-6 months. At the end of your internship, we will ask you to contribute to an internship experience blog article for our external channels. We would like to celebrate your achievements and provide some insights for future candidates.

To apply, please submit a general submission to research@zalando.de including a Letter of Intent and your CV/resume. If your profile seems like a good fit for one of our teams, a recruiter will contact you to schedule a series of interviews with the team.

If you would like to sign up for our Zalando Applied Science Community, please register here:
https://pages.beamery.com/zalando/page/machinelearning
Link: https://pages.beamery.com/zalando/page/machinelearning
PhD Student
University of Sheffield
To work on cognitive computational models of language processing
Link: None
Applied Research Scientist
Grammarly
We're looking for an Applied Research Scientist to join our Engineering team. In this role, you’ll be able to bring state-of-the-art research into Grammarly and advance the state of the art by finding new solutions for problems that have never been solved before. Our team is thinking big-picture about the state of NLP and opportunities to help people communicate more effectively. This requires writing production code to bring machine learning models, including deep learning models, efficiently into production.
Link: https://www.grammarly.com/jobs
Software engineer, Machine Learning
Grammarly
To achieve our ambitious goals, we’re looking for a Software Engineer focused on machine learning to join our team. This individual will be responsible for building end-to-end intelligence systems that solve complex user problems, including applying ML to solve new problems as well as building the infrastructure and systems that will enable this to operate effectively at scale. The role will have the opportunity to provide feedback about the systems and tools in place to facilitate the creation and improvement of a machine learning platform that can increase the efficacy of the engineering team.
Link: https://www.grammarly.com/jobs
Computational Linguist
Grammarly
We’re looking for a curious Computational Linguist with an interest in natural language processing, a passion for English, and an excellent knowledge of grammar. The role is vital to our ambitious journey to help people worldwide improve their communication, and the work will influence our product roadmap and help chart the course for the future of our company.


Link: https://www.grammarly.com/jobs
Postdoctoral researcher in Helsinki (multilingual representation learning and MT)
University of Helsinki
2 year appointment for work in the ERC project "Found in translation". Join us in lovely Helsinki if you are interested in highly multilingual translation models, contextualized representation learning and interpretation of neural models. Get in touch for more details!
Link: https://blogs.helsinki.fi/language-technology/
Research intern in multitask deep learning for NLP
LIPN, Université Sorbonne Paris Nord
Two open research intern positions for 6-months to work on deep reinforcement learning and multitask dependency parsing.
Link: https://lipn.univ-paris13.fr/~tomeh/public/uploads/offers/2021-internship-multitask-parsing.pdf
Fully funded PhD position in cross-lingual NLP at Melbourne University / Hebrew University of Jerusalem
Melbourne University / Hebrew University
We invite applications for a fully funded PhD position in Natural Language Processing, under the joint supervision of Lea Frermann (Melbourne University) and Omri Abend (Hebrew University). The project is based in Melbourne, and includes a one year research stay at the Hebrew University, Jerusalem.

The research focuses on modeling multilinguality for improved cross-language model transfer. More details on the project and requirements can be found here.

The position is open until filled, with a preferred commencement date in early- to mid-2021. Ideal candidates will have a masters degree in natural language processing or a related field; a demonstrated interest in machine learning and cognitive modeling; and a strong motivation to deliver excellent research outcome. We offer a thriving, cross-disciplinary and international research environment, embedded in two strong and growing NLP groups in Melbourne and Jerusalem.

Interested applicants should contact Lea Frermann directly at lea.frermann@unimelb.edu.au
Link: https://jmjphd.research.unimelb.edu.au/2020/09/22/scalable-computational-cognitive-models-of-the-bilingual-lexicon/
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