The Computational Linguistics Group at Bielefeld University is seeking
applications for a
** Full-time Research Assistant / Ph.D. Student position **
The position is part of the research project FORESTS which aims to
develop a new interdisciplinary approach to using language models (=LMs)
as tools for comparative linguistic research and linguistic theories as
tools for assessing the systemic robustness of LMs. FORESTS is funded
within the DFG-Priority Program "Robust Assessment & Safe Applicability
of Language Modelling: Foundations for a New Field of Language Science &
Technology (LaSTing)" (SPP 2556). For more details on FORESTS and
LaSTing, see https://clause-bielefeld.github.io/projects/.
The research tasks of this PhD position will involve the development and
grammatical analysis of small, multilingual language models (BabyLMs)
and close collaboration with the second PhD student in FORESTS who will
work in the field of general linguistics
(https://linguistlist.org/issues/37/1971/).
The duration of the position is 3 years. Salary is 100% TVL-E13 scale
(about 4.000,- EUR per month before taxes, depending on relevant work
experience).
Application Deadline: 29-Jun-2026
Application Instructions: please visit the application website and press
the button "Apply now" to get to the application form:
https://jobs.uni-bielefeld.de/job/view/4910/research-position-m-f-d-in-comp…
Please do not apply via e-mail, but use the application form following
the link above.
If you have any questions, please contact: sina.zarriess(a)uni-bielefeld.de
--
Prof. Dr. Sina Zarrieß
Computational Linguistics
https://clause-bielefeld.github.io/
University of Bielefeld
Universitätsstr. 25
33615 Bielefeld, Germany
+49 521 106-2534
Would you like to help us create large language models that can express their confidence in a way people understand?
We are offering an opportunity to pursue a fully funded PhD in computer science, specialising in data science/natural language processing, in the context of an innovative research project aiming to improve the trustworthiness of large language models (LLMs) and enable them to signal their confidence effectively to their users. You will be part of an exciting project spanning natural language processing, machine learning and experimental linguistics. You will develop methods to express uncertainty with large language models in a controllable way and align the level of confidence that is communicated with the user’s perceived confidence.
The project has a dual focus on advancing computational methods in natural language processing and validating them in user studies with human participants. The ideal candidate will have a strong interest in both parts of the project and a solid background in at least one of them.
The project is jointly led by Dr. Christian Hardmeier at ITU and Dr. Jes Frellsen at the Technical University of Denmark in close collaboration with Prof. Hannah Rohde at the University of Edinburgh. An extended research stay in Edinburgh is an essential part of the project.
Apply here: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181…
Deadline: 24 June 2026
Very soon, we'll also advertise a second PhD position in the same project at DTU, which will be more focused on machine learning. The advertisement will follow on this list!
--
Christian Hardmeier
Associate Professor, IT University of Copenhagen
https://christianhardmeier.rax.ch/
ICMI 2026 CALL FOR LATE-BREAKING RESULTS (LBR)
===============================================
5-9 October 2026, Napoli - Italy
https://icmi.acm.org/2026/
===============================================
Dear colleagues,
Please find below the Call for Papers for the Late-Breaking Results (LBR) track of the 28th ACM International Conference on Multimodal Interaction (ICMI 2026).
Based on the success of the Late-Breaking Results (LBR) track, ICMI 2026 will continue soliciting submissions for this special venue. The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues.
* Online Submission
https://new.precisionconference.com/submissions/icmi26a
* Highlights
- Submission deadline: June 21st, 2026
- Notifications: July 15th, 2026
- Camera-ready deadline: August 2nd, 2026
- Conference Dates: October 6–8, 2026
- Submission format: Anonymized short paper (four-page paper in a double-column format, not including references), following the submission guidelines
- Selection process: Peer-Reviewed
- Presentation format: Participation in the conference poster session
- Proceedings: Included in the Adjunct Proceedings (Companion Volume) and ACM Digital Library
- LBR Co-chairs: Daniel Riccio and Hung-Hsuan Huang
* What are Late-Breaking Results?
Late-Breaking Results (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting-edge or emerging work that is still in exploratory stages, smaller-scale studies, or, in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track.
* Why submit to the Late-Breaking Results track at ICMI?
Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting, thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field.
Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are significant revisions, as per the ACM and ACM SIGCHI policies. LBR papers will be published as ACM extended abstracts in the Adjunct Proceedings. Under ACM Open, extended abstract article types are not subject to Article Processing Charges (APCs).
* Submission Guidelines
Extended Abstract
An anonymized short paper, four-page paper in a double-column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference. The paper should be submitted in PDF format and through the ICMI submission system in the "Late-Breaking Results" track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version, and no deadline extensions can be granted.
Anonymization
Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR relative to prior work, authors should not remove or anonymize references to their own prior work. Instead, authors should refer to their own prior work in the third person during submission. After acceptance, such references can be changed to first person if desired.
* Review Process
LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work, which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors, including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it fits the LBR track, for example, in-progress results. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring measurable breakthroughs compared to the state of the art.
* Attendance
Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be made available later on the conference website.
* Website
For updates, please visit: https://icmi.acm.org/2026/late-breaking-results/
* Contact
For further questions, contact the LBR co-chairs, Daniel Riccio and Hung-Hsuan Huang, at:
icmi2026-latebreaking-chairs(a)acm.org
We would be grateful if you could circulate this call among colleagues and interested researchers.
Best regards,
ICMI 2026 LBR Chairs
Daniel Riccio and Hung-Hsuan Huang
[Apologies for multiple postings]
The ELRA Board is launching, for the first time, an *open call for
expressions of interest* from universities, research teams, research
institutes, and academic consortia active in fields related to LREC and
willing to consider hosting the *International Conference on Language
Resources and Evaluation* (LREC) in either 2028 or 2030.
At this stage, ELRA is not requesting formal hosting proposals.
Candidate teams are invited to submit preliminary expressions of
interest using the dedicated *expression-of-interest form
<https://docs.google.com/forms/d/e/1FAIpQLSfi_b5f2OpEeMG8FD7644RRSDu5b-8L-Ie…>*.
[Apologies for cross-posting]
We are starting the process to hire a NLP/AI Postdoctoral Researcher in the
Blasi Group at Pompeu Fabra University. The position will focus on applying
computational tools from these fields to interdisciplinary challenges at
the intersection of* linguistic diversity, human cognition, and foundation
models*.
See here for more details about the position
https://dub.sh/blasi_nlp_posting
If interested, send a message with the header AI POSITION, your CV and a
very brief motivational statement at damian.blasi(a)upf.edu
Thanks!
--
Pablo Andrés Contreras Kallens
Postdoctoral Researcher
Universitat Pompeu Fabra
We invite you to participate in the 37 th European Summer School in Logic, Language and Information (ESSLLI), taking place from August 3 rd to August 14 th , 2026 at the Faculty of Civil Engineering, Czech Technical University, Prague, Czechia.
[ https://2026.esslli.eu/ | https://2026.esslli.eu/ ]
Registration
The early-bird registration deadline has been extended to June 15 th :
[ https://2026.esslli.eu/registration/registration.html | https://2026.esslli.eu/registration/registration.html ]
Overview
The European Summer School in Logic, Language and Information (ESSLLI) is a yearly recurring event, organized under the auspices of the Association for Logic, Language and Information (FoLLI), and has been running since 1989. The ESSLLI Summer School provides an interdisciplinary setting in which courses and workshops are offered in logic, linguistics and computer science, also from wider scientific, historical, and philosophical perspectives.
ESSLLI attracts around 400 participants from Europe, the Middle East, Asia and Africa, as well as from North America and Latin America. ESSLLI has become the main meeting place for young researchers and students in logic, linguistics and computer science to discuss current research and to share knowledge. The event is unique in its interdisciplinary set-up, with no equivalents in Europe.
Programme
The ESSLLI Summer School offers an exciting two-week programme, consisting of the following:
*
Foundational, introductory and advanced courses in three areas: Language and Computation, Logic and Computation, and Logic and Language
*
Workshops in logic, linguistics and computer science
*
Student session
*
Evening lectures
*
Social activities
The full program can be found on the website:
[ https://2026.esslli.eu/courses-workshops-accepted/week-1-and-2-schedule.html | https://2026.esslli.eu/courses-workshops-accepted/week-1-and-2-schedule.html ]
Accommodation
We have reserved a number of two-person student rooms in a student dormitory of the Charles University. This accommodation offers a practical and affordable option for students, but with a very modest level of comfort typical of university dormitories.
[ https://2026.esslli.eu/location/accommodation-general.html | https://2026.esslli.eu/location/accommodation-general.html ]
Dear community!
EMNLP2026 main conference deadline has passed – time to submit to workshops!
We would like to promote the second call for papers for our 5th Workshop on NLP for Positive Impact co-located at EMNLP 2026!
Workshop website: https://sites.google.com/view/nlp4positiveimpact<https://sites.google.com/view/nlp4positiveimpact>
Call for papers: https://sites.google.com/view/nlp4positiveimpact/call-for-papers-2026
Submission methods: OpenReview both direct submissions and ARR May Cycle commitment.
We also accept non-archival submissions.
Important dates:
Direct Submissions Due: extended to July 13th, 2026 via https://openreview.net/group?id=EMNLP/2026/Workshop/NLP4PI<https://openreview.net/group?id=EMNLP/2026/Workshop/NLP4PI#tab-your-consoles>
ARR Reviewed Submissions Commitment Due: August 3rd, 2026
Notification of Acceptance (both channels): August 15th, 2026
Camera-Ready Papers Due: September 10th, 2026
Workshop Date: October 24th-29th 2026 (co-located with EMNLP 2026)
All deadlines are 11:59 PM (Anywhere on Earth)
Workshop Summary
The increasing adoption of language-oriented AI systems offers unprecedented opportunities for positive societal impact. NLP technologies have matured to the point where they can meaningfully contribute to addressing global challenges like poverty, hunger, healthcare, education, inequality, COVID-19, and climate change, aligning with the UN sustainability goals.
This workshop aims to advance innovative NLP research that benefits society, emphasizing responsible methods and impactful applications. We welcome submissions in areas including, but not limited to:
* Grounding NLP in Real-World Impact: Beyond improving model performance, how can NLP systems be directly tied to social outcomes? This could include case studies of real-world deployments or strategies for better deployment and maintenance practices.
* Underexplored Applications: While NLP for healthcare and mental well-being is well-established, we encourage research tackling overlooked areas such as poverty, hunger, energy, and climate change.
* Interdisciplinary Collaborations: We highly value work that integrates insights from other fields, such as social science, political science, economics, philanthropy, and HCI, and we encourage submissions of case studies or examples that highlight such collaborations.
Special Theme: Measuring the Societal Impact of AI and NLP
This year we would like to find an answer to the question: How can we measure the social impact of AI and NLP? With even the bigger raise of opportunities of AI and language technologies, we would like to understand how it influences society and if in positive manners. Position, philosophical-grounded, and new evaluation framework suggestion papers are very much welcomed to enhance the discussion!
Papers Format
Both long and short paper submissions should follow all of the ARR submission requirements https://aclrollingreview.org/cfp#paper-submission-information, including: Long Papers <https://aclrollingreview.org/cfp#long-papers> (8 pages) and Short Papers (4 pages).
Organizers
Katherine Atwell (Northeastern University)
Angana Borah (University of Michigan)
Dr. Daryna Dementieva (Technical University of Munich)
Prof Elisa Kreiss (University of California)
Dr. Neema Kotonya (Dataminr)
Jiarui Liu (Carnegie Mellon University)
Liz Olson (Dataminr)
Ruyuan Wan (Pennsylvania State University)
Prof Jieyu Zhao (University of Southern California)
Steering Committee
Prof Rada Mihalcea (University of Michigan)
Dr. Joel Tetreault (Dataminr)
Dr. Zhijing Jin (University of Toronto)
Contact Email: nlp4pi.workshop(a)gmail.com<mailto:nlp4pi.workshop@gmail.com>
All positive regards,
Daryna Dementieva
On behalf of NLP4PI Workshop Organizers
https://www.kcl.ac.uk/events/quantitative-diachronic-linguistics-and-cultur…
Quantitative Diachronic Linguistics and Cultural Analytics 2027 (QDLCA27)
14–15 January 2026 | King’s College London, Strand Campus, WC2R 2LS
We invite submissions for the conference Quantitative Diachronic Linguistics and Cultural Analytics 2027 (QDLCA27), to be held at King’s College London (Strand Campus, WC2R 2LS) on 14–15 January 2026. The conference is funded by the ERC-selected project COALA<https://coala.er.kcl.ac.uk/>.
See the conference webpage here<https://www.kcl.ac.uk/events/quantitative-diachronic-linguistics-and-cultur…>.
Language is in constant flux, shaped by social, cultural, and cognitive forces over time. With the increasing availability of large-scale textual data and computational tools, researchers are now better equipped than ever to uncover patterns and mechanisms of language change across different linguistic areas (e.g., morphology, syntax, semantics). This conference explores the intersection of quantitative diachronic linguistics and cultural analytics, to investigate how language evolves and how these changes relate – directly or broadly – to cultural dynamics.
Confirmed keynote speakers are Prof Dirk Geeraerts<https://www.arts.kuleuven.be/english/our-staff/emeritus-professors/dirkgeer…> (KU Leuven) and Dr Stefania De Gaetano-Ortlieb<https://stefaniadegaetano.com/> (Saarland University).
Submission Guidelines
* We invite submissions for 20-minute presentations, followed by 10 minutes of discussion.
* The abstracts should be anonymised and consist of a maximum of 400 words (excluding references).
* Please submit your abstract as a .docx file via email to: quantitative.diachronic.ling(a)gmail.com<mailto:quantitative.diachronic.ling@gmail.com>. Use the following subject line: “ABSTRACT Quantitative Diachronic Linguistics”
In case of a large number of high-quality submissions, some abstracts may be selected for poster presentations. Authors will be invited to indicate whether they would consider their submission suitable for a poster session, should one be included in the programme. Poster selections will be based both on authors’ preferences and on reviewers’ recommendations, as reviewers will also be asked to assess the suitability of submissions for poster presentation.
Deadline: 13 September 2026, 23:59 BST
Suggested Topics (non-exhaustive list)
Submissions may include (but are not limited to) the following areas, with no restrictions on language(s) or historical periods:
* Quantitative studies of language change across time
* Corpus-based analyses of language evolution
* Computational modelling of diachronic syntax, semantics, morphology, etc.
* Cross-linguistic comparisons using large-scale data
* Language change in connection with historical, literary, or cultural trends
* Digital methods for exploring linguistic and cultural shifts
* Applications of cultural analytics to linguistic data
Important Dates
* 13 September 2026: Abstract Submission Deadline
* 26 October 2026: Notification of Acceptance
* 14–15 January 2026: Conference Dates
For any inquiries, please contact the organiser, Dr Andrea Farina<https://www.kcl.ac.uk/people/andrea-farina> (andrea.farina(a)kcl.ac.uk<mailto:andrea.farina@kcl.ac.uk>).
MATS Research is an educational research nonprofit dedicated to solving the
talent pipeline bottleneck in AI alignment and security research. We
believe reducing risks from powerful AI is one of the world's most urgent
and talent-constrained challenges, and that ambitious people from a wide
range of backgrounds and career stages can meaningfully contribute to this
work.
That's why we're training the next generation of AI safety researchers.
The Autumn fellowship runs from September 28 to December 4, 2026, based in
Berkeley, California and London, UK. Fellows receive:
- field-leading research mentorship
- funding ($5,000/month stipend + $8,000/month compute)
- office space, housing and meals
- immigration support for our Berkeley office
- talks and workshops with AI experts
- a global network of peers.
In addition to technical and governance research tracks, this cohort
introduces two new tracks: the Founding & Field-Building track
<http://matsprogram.org/tracks/founding-and-field-building?utm_source=corpor…>
for entrepreneurial generalists looking to launch new AI safety initiatives
and the Biosecurity track
<https://www.matsprogram.org/tracks/biosecurity?utm_source=corpora&utm_mediu…>
for technical researchers focused on the intersection of advanced AI and
catastrophic biological risk.
MATS has accelerated 500+ researchers so far. Among alumni who graduated
before 2025, 80% are working directly in AI safety/security and 10% have
co-founded active AI safety startups. Participants have coauthored 200+
papers, with over 12,300 citations. Our philanthropically-funded program
connects participants with world-class mentors from leading organizations
such as Anthropic, Google DeepMind, Redwood, AI Futures Project, and more.
*Apply by June 7
<https://www.matsprogram.org/apply?utm_source=corpora&utm_medium=mailing-lis…>
AoE to be considered!*
Help us spread the word with people you know who'd be a good fit, and feel
free to reach out if you have any questions!
Best,
Eric
--
Eric Dhan
Operations Generalist, MATS <https://www.matsprogram.org/>
LinkedIn <https://www.linkedin.com/in/eric-dhan/>
The Language, Computation, and Cognition Lab (LaCoCo)
<https://lacoco-lab.github.io/home/> at Saarland Informatics Campus
<https://saarland-informatics-campus.de/en/> (Saarbrücken, Germany),
directed by Michael Hahn <https://mhahn.info/>, invites applications for
fully funded PhD and postdoc positions, with a flexible start date.
*
RESEARCH AREAS
*
We’re especially excited about projects on:
* Mathematical foundations of large language models (LLMs), e.g.,
computational complexity, learning theory
* New architectures and efficient reasoning for LLMs
* Mechanistic interpretability
* Theoretical foundations for AI safety
You’ll have substantial freedom to shape your topic within the lab’s scope.
Some representative publications from the past 3 years:
*
Why are Sensitive Functions Hard for Transformers? (ACL 2024,
https://aclanthology.org/2024.acl-long.800/)
*
InversionView: A General-Purpose Method for Reading Information from
Neural Activations (NeurIPS 2024,
https://openreview.net/forum?id=clDGHpx2la)
*
Contextualize-then-Aggregate: Circuits for In-Context Learning in
Gemma-2 2B (COLM 2025, https://openreview.net/forum?id=rGNAyHReSg)
*
Discovering Interpretable Algorithms by Decompiling Transformers to
RASP (ICML 2026, https://arxiv.org/abs/2602.08857)
*
On the Ability of Transformers to Verify Plans (ICML 2026,
https://arxiv.org/pdf/2603.19954)
*ABOUT THE LAB*
Our research has been awarded an Emmy Noether grant (DFG), the Heinz
Maier-Leibnitz Preis (DFG), and paper awards at ACL 2024 and Mechanistic
Interpretability Workshop 2024. We regularly publish at top venues
(e.g., 11 NeurIPS/ICML/ICLR papers over the past year).
Learn more about the lab at https://lacoco-lab.github.io/
<https://lacoco-lab.github.io/><https://lacoco-lab.github.io/>
*HOW TO APPLY
*
Please follow the procedure here: https://lacoco-lab.github.io/joining/
<https://lacoco-lab.github.io/joining/><https://lacoco-lab.github.io/joining/>
For questions, please contact Michael Hahn at mhahn(a)lst.uni-saarland.de
--
Michael Hahn
Tenure-Track Professor
Saarland Informatics Campus
Saarland University
Group: https://lacoco-lab.github.io/
Personal: https://www.mhahn.info/