Link: https://med.ucsd.edu/_files/post-docs/UCSD%20Postdoc%20Computer%20Scientist…
The position is for a postdoctoral fellowship to join an innovative, multi-disciplinary research team
funded by a prestigious NIH Director’s Avant-Garde Award (https://today.ucsd.edu/story/uc-san-
diego-researcher-wins-5.6m-nih-avant-garde-award-to-prevent-hiv-hepatitis-c-and-overdose). Dr.
Natasha Martin (https://profiles.ucsd.edu/natasha.martin) leads the project, with additional
mentorship from faculty specializing in biostatistics, infectious diseases, and epidemiology. The
project aims to revolutionize HIV and hepatitis C virus (HCV) prevention and resource allocation
for people who use drugs (PWUD) across the United States. The project will pioneer the integration
of large language models (LLMs) to create behavioral "digital twins," embedded within dynamic
epidemic and economic simulation models to guide real-world public health policy.
The Division of Infectious Diseases and Global Public Health (IDGPH) at UCSD is in the
Department of Medicine in the School of Medicine of the University of California San Diego
(https://idgph.ucsd.edu/). IDGPH is a multidisciplinary center that includes faculty, postdocs, and
graduate students from Epidemiology, Social Sciences, Biostatistics, Medicine, and other
disciplines. IDGPH aims to eliminate the burdens of infectious diseases and health disparities by
delivering outstanding patient care, conducting world-class multidisciplinary health research,
directing the institutional response to antimicrobial resistance, preventable healthcare associated
infections, and emerging pathogens, and offering leadership, consultation and training on global
public health, equity, microbiology, and infectious diseases topics.
Position Title: Postdoctoral Fellow
Duties and Responsibilities: The postdoctoral fellow will develop, fine-tune, and evaluate large
language model–based methods to predict the preferences and likely choices of people who use
drugs regarding HIV, hepatitis C, overdose prevention, and substance use services. Using mixed
qualitative and quantitative participant data, the fellow will create and validate individual-level
behavioral “digital twins” that can generate realistic responses to questions about intervention
preferences, such as willingness to use long-acting injectable pre-exposure prophylaxis, hepatitis C
testing and treatment services, naloxone, syringe services, or medications for opioid use disorder.
Responsibilities will include data preparation and integration, prompt design and model adaptation,
development of reproducible computational pipelines, and rigorous evaluation of predictive
accuracy, calibration, reliability, and performance across participant subgroups. The fellow will
work closely with an interdisciplinary team spanning artificial intelligence, biostatistics,
epidemiology, infectious diseases, and substance use research, contribute to manuscripts and
conference presentations, and help advance responsible and transparent applications of LLMs in
research involving people who use drugs.
Position Qualifications: Candidates should have a doctoral degree in computer science,
biostatistics, epidemiology, or a related field. Strong computational skills and expertise in either AI
or machine learning. Start date and term are negotiable.
Position Instructions: Applicants should submit a cover letter, CV, and contact information for
three references to Matthew Rivera (mnr001(a)health.ucsd.edu).
Third and Last Call for Papers: The 7th Workshop on Gender Bias in NLP (GeBNLP 2026)
5th AACL & 15th IJCNLP, November 9, 2026
Hengqin, China (Remote-only mode)
About the Workshop
The GeBNLP workshop <https://gebnlp-workshop.github.io/> serves as a leading venue for the study, evaluation, and mitigation of gender bias in natural language processing. As large language models (LLMs) become foundational to recent NLP applications, addressing how these systems represent and affect different genders, alongside intersecting demographic axes such as race, ethnicity, nationality, religion, and ability, remains a critical challenge for the AI community. While foundational progress has been made in algorithmic debiasing and balanced data collection, recent large-scale evaluations reveal that state-of-the-art models continue to exhibit persistent stereotypes and confidence disparities across intersectional identities (Siddique et al., 2024; Savoldi et al., 2024). Our workshop serves as a multidisciplinary bridge, enabling researchers to define shared standards for tasks and metrics that ensure technical advancements are deeply rooted in the social and ethical realities of systemic harm (Dai et al., 2024).
Topics of Interest
We invite submissions on a wide range of topics related to gender bias in NLP, including but not limited to:
Measurement and Evaluation: New metrics and datasets for quantifying bias in LLMs, MT, and multimodal systems.
Mitigation Strategies: Technical approaches to debiasing (e.g., fine-tuning, adapter-based methods, or prompting strategies).
Multilingual and Cross-Cultural Perspectives: Bias in low-resource languages or non-Western cultural contexts.
Intersectionality: Research exploring how gender bias intersects with race, disability, age, or nationality.
Ethical and Legal Frameworks: Policy implications and the "Human-in-the-loop" role in auditing AI systems.
Authors are encouraged to go beyond binary gender definitions and discuss how their work addresses the complexity of intersecting stereotypes and the diverse demographic contexts involved.
Submission Guidelines
Long Papers are up to 8 pages and short Papers are up to 4 pages (excluding references and appendix).
Non-Archival Submissions: Authors may opt for non-archival submission, allowing work of standard conference quality to be presented without being published in the official proceedings.
Submission Link <https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/GeBNLP…> (Blind submission is required)
Important Dates
Paper Submission Deadline: Wednesday, September 2, 2026
Pre-reviewed (ARR) submission deadline: Tuesday, September 29, 2026
Notification of Acceptance: Friday, October 2, 2026
Camera-Ready Version Due: Monday, October 12, 2026
Workshop Date: Monday, November 9, 2026
Paper Integrity Policy (Important)
We endorse the EMNLP 2026 Paper Integrity Policy <https://2026.emnlp.org/paper-integrity-policy/>. Submissions that misuse AI, include hallucinated citations, present thinly sliced contributions, or are entirely AI-generated may be desk rejected. AI-assisted writing is permitted <https://www.aclweb.org/adminwiki/index.php/ACL_Policy_on_Publication_Ethics…>, provided authors remain responsible for the work.
Organizers
Giuseppe Attanasio, Instituto de Telecomunicações, Lisbon
Christine Basta, Alexandria University & HiTZ, University of the Basque
Agnieszka Faleńska, University of Stuttgart
Vera Neplenbroek, University of Amsterdam
Debora Nozza, Bocconi University
Karolina Stańczak, ETH AI Center, Zurich
Marta R. Costa-jussà, FAIR, Meta
Christian Hardmeier, IT university of Copenhagen
References
Dai, Y., Gu, H., Wang, Y. and Wang, X., 2024, November. Mitigate extrinsic social bias in pre-trained language models via continuous prompts adjustment. In Proceedings of the 2024 conference on empirical methods in natural language processing (pp. 11068-11083).
Siddique, Z., Turner, L. and Anke, L.E., 2024, November. Who is better at math, jenny or jingzhen? uncovering stereotypes in large language models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 18601-18619).
Savoldi, B., Papi, S., Negri, M., Guerberof-Arenas, A. and Bentivogli, L., 2024, November. What the harm? quantifying the tangible impact of gender bias in machine translation with a human-centered study. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 18048-18076).
The UK-Ireland Digital Humanities Digital Correspondence Community Interest Group are hosting a free, online event about immigrant and/or emigrant correspondence.
When: Thursday, 14 January 2027, 10.00-13.00
This event is open to everyone interested in this topic, including (but not limited to) linguists, historians, digital humanities researchers and education researchers/teachers. Postgraduate students are also welcome. You can either attend as an audience member or present. The event will also feature a lead speaker (details below).
Your presentation can range from 5-15 minutes, and can be a work in progress report, or a paper with more concrete findings.
To attend, please fill in the registration form: https://docs.google.com/forms/d/e/1FAIpQLSe_3-vgvd9cUR_I1uAB3iU-oHE_1K2i6Oh….
Personal data will be kept on a secure, confidential Google form and will be deleted after the event.
If you would like to present, please also send a title and a short abstract (150-200 words) to imogen.marcus(a)edgehill.ac.uk by Friday 4th December 2026. Any questions in the meantime, please get in touch with Imogen at the above email or co-coordinator Chris Fitzgerald (christopher.fitzgerald(a)mic.ul.ie).
Research areas might include: (historical) sociolinguists; (historical) pragmatics, (historical) semantics, (historical) discourse analysis, oral history, history ‘from below’, digital humanities approaches.
A variety of methodological perspectives and approaches are welcomed, e.g. quantitative, qualitative, philological, corpus linguistic, ethnographic, archival, multi-modal. The event is open to researchers working on correspondence in both modern contexts (e.g. email, instant messaging) and historical contexts (e.g. letters, dispatches).
Topics might include:
self- and other- reference in writing of (and about) immigrants/emigrants, e.g. reference in relation to stance, positioning, indexicality
ego documents
dialect
the recovery and preservation of linguistic heritage
immigrant monolingualism and bilingualism, and/or ideological/evaluative comments relating to them
multilingualism and letters
language policies, in either historical or modern contexts
language contact, e.g. practices and hierarchies in transnational language histories
enregisterment
(conceptual) spoken and written discourse in immigrant/emigrant correspondence
immediacy and distance in the language of immigrant/emigrant correspondence
oral history of emigrant experiences
orthography and spelling
syntax
gender, e.g. women’s voices in transit
age, e.g. children’s voices in transit, or discourse about childhood/children
emotions in immigrant/emigrant correspondence
humour about/satire of the culture the emigres join
assimilation anxiety
Lead Speaker: Carolina Amador Moreno, ‘A transhistorical approach to ego documents – a perspective from Irish English’.
Length: 45 minutes with space for comments and questions.
This talk will discuss the value of ego-documents in historical sociolinguistics, engaging with issues related also to (historical) pragmatics, (historical) discourse analysis, oral history, etc. The focus will be on private correspondence, using the Corpus of Irish English Correspondence (CORIECOR) to illustrate some of the research activity that has been conducted using this corpus since it was devised in 2008.
By turning to CORIECOR, we will take a closer look at how Irish English was recorded through letter writing. CORIECOR contains a large body of personal letters mainly to and from Irish emigrants, sent for the most part between Ireland and the United States, Canada, Great Britain, New Zealand, and Australia, from approximately 1750 to 1940. The talk will offer some reflections on how diachronic corpora can help us identify patterns of consistency across time, as well as trends in usage, and instances of slower types of linguistic change across language varieties. Some of the examples that will be discussed will allow us to see how certain linguistic choices made in the letters show indexicality.
We will also reflect more broadly on how the oral history of emigrant experiences is expressed in the context of written communication in present times, bringing in the transhistorical angle that allows us to measure modern migration experiences across time. The talk will close with some reflections on the recovery and preservation of linguistic heritage; questions related to the use of modern technologies will serve as an invitation to discuss differences between traditional and digital archiving.
CIG site: https://digitalhumanities-uk-ie.org/community-interest-groups/digital-corre…
Dear Corpora List members,
We have just published the list of accepted papers<https://2026.inlgmeeting.org/accepted-papers.html> for the 19th International Conference on Natural Language Generation (INLG 2026).
Invited speakers<https://2026.inlgmeeting.org/keynotes.html> are:
* Ehud Reiter (University of Aberdeen),
* Malvina Nissim (University of Groningen),
* Marie-Catherine de Marneffe (FNRS, UCLouvain), and
* Seraphina Goldfarb-Tarrant (Cohere)
Registration is open now. The Early registration rates apply only for those who register before the 15th of September.
See the website for more details: https://2026.inlgmeeting.org
Best wishes,
Emiel van Miltenburg
Tilburg University
Department of Communication and Cognition (DCC)
Tilburg Center for Cognition and Communication (TiCC)
Work schedule: Monday, Wednesday, Thursday, Friday.
www.emielvanmiltenburg.nl | Github: https://github.com/evanmiltenburg
The MLT group (Dr. Marius Mosbach, Dr. Simon Ostermann) together with the NMM (Prof. Verena Wolf, Dr. Kevin Baum) and SAINT groups (Prof. Kristian Kersting, Dr. Dominik Hintersdorf) at DFKI Saarbrücken and Darmstadt is recruiting across three complementary research areas:
### 1. PhD Researcher: Mechanistic Interpretability for Safe Agentic AI (SAgA project)
Develop fine-grained steering methods to control language model behavior without retraining. We're looking for someone to advance post-hoc controllability through circuit analysis and sparse feature steering.
https://jobs.dfki.de/en/vacancy/researcher-phd-student-m-w-d-x-mechanistic-…
### 2. PostDoc: Multilingual Mechanistic Interpretability (planned SLIMS Project, DFKI-Inria collaboration)
First systematic study of reasoning circuits in compact multilingual models. Investigate circuit transfer across scales and many languages using the full mechanistic toolkit. Work directly with the ALMAnaCH team at Inria Paris (Prof. Benoit Sagot, Dr. Djamé Seddah) with planned bilateral research visits and joint workshops.
https://jobs.dfki.de/en/vacancy/senior-researcher-postdoc-m-w-d-x-multiling…
### 3. PostDoc: AI Safety, Ethics, and Agentic Systems (SAgA project)
Develop safe autonomous agents with explicit, inspectable normative constraints. We're seeking candidates with mechanistic interpretability expertise curious about safety, or safety/ethics backgrounds open to steering-based intervention methods. Work across multiple DFKI research groups (NMM, SAINT, MLT) with tailored supervision.
https://jobs.dfki.de/en/vacancy/senior-researcher-postdoc-m-w-d-x-ai-safety…
### General Information
These positions are part of two larger research initiatives at DFKI and beyond: one planned project focused on understanding and leveraging circuit structure for multilingual models (SLIMS), the other on building safe agentic AI through structurally preserved normative reasoning (SAgA).
We work on explainable and efficient language processing with a strong focus on rigorous methodology, active publication, and open critical discussion of ideas. We're committed to creating a positive, respectful, supportive working atmosphere where you have space to develop your own scientific identity.
SLIMS and SAgA will collaborate in an integrated interdisciplinary team. The positions will work closely together, with mechanistic findings feeding into safety architectures and safety requirements driving interpretability research, creating a coherent research ecosystem where circuit analysis, multilingual NLP, formal ethics, and agentic systems reinforce each other.
The PhD and first postdoc position are supervised by Dr. Simon Ostermann within the Multilinguality and Language Technology (MLT) group directed by Dr. Marius Mosbach, with support from the DFKI labs SAINT (Prof. Kristian Kersting, Dr. Dominik Hintersdorf) and NMM (Prof. Verena Wolf, Dr. Kevin Baum).
For the second postdoc position on AI safety and agentic systems, we offer flexible supervision across three research groups: the Neuro-Mechanistic Modeling (NMM) group under Prof. Verena Wolf, the Foundations of Systems AI (SAINT) group under Prof. Kristian Kersting, and the MLT group. Candidates prioritizing mechanistic interpretability work primarily with Dr. Simon Ostermann; those emphasizing formal ethics and normative reasoning anchor with Dr. Kevin Baum; and those focusing on agentic system design and task discovery collaborate with Dr. Dominik Hintersdorf. This ensures your mentorship directly supports your research trajectory while you contribute across interpretability, formal ethics, and safe agentic systems.
### Our Labs
We are committed to rigorous, methodologically grounded research with an active publication culture. We believe in the open, critical discussion of ideas and we value solid methodology as the foundation for real progress. We've built a lab culture that combines intellectual rigor with genuine support for the people who work here, and we invest in creating the space for you to develop your own scientific identity, while having lots of fun!
If you're interested in mechanistic interpretability, multilingual NLP, or safe AI systems (or the convergences between them), we'd like to hear from you. Applications are open until Sep 15.