ML PhD / Postdoc Openings — Issue #3: 5 Labs Recruiting (June 8, 2026)
Five confirmed open positions for June 2026: Diyi Yang's SALT Lab at Stanford (postdoc + PhD), Yonatan Belinkov at the Technion (PhD 2026-2027), Meng Jiang at Notre Dame FAML Lab (postdoc, 2027 start), Ai2 Young Investigator on the Robotics team in Seattle, and Hanna Hajishirzi's H2Lab at UW (rolling PhD + postdoc).
Five confirmed open positions this week: Diyi Yang's SALT Lab at Stanford seeking postdocs and PhD students, Yonatan Belinkov at the Technion now actively recruiting PhD advisees for 2026-2027, Meng Jiang at Notre Dame with a 2027-start postdoc, a new Ai2 Young Investigator slot on the robotics team, and Hanna Hajishirzi's H2Lab at UW continuing to take rolling applications.
1. Diyi Yang — Stanford SALT Lab (Postdoc + PhD)
Diyi Yang is an assistant professor in Stanford's Computer Science Department, affiliated with the Stanford NLP Group, SAIL, and the Stanford HCI Group. Her SALT Lab works on socially aware NLP, large language models, and human-AI interaction. Recent publications include work across ICML 2026, ICLR 2026, ACL 2025, NeurIPS 2025, and multiple SIGCHI best paper awards. 1
Currently open: 1-2 postdoc positions (rolling). PhD applications accepted through the standard Stanford CS admissions committee process (no cold email needed for PhD). Visitors from outside Stanford also taken on a rolling basis (minimum 6-month stay preferred).
Representative recent papers:
- Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration — ICLR 2026
- SWE-smith: Scaling Data for Software Engineering Agents — NeurIPS 2025 (Spotlight)
- Can LLMs Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors — SIGCHI 2026 (Best Paper Honorable Mention)
Research focus: Socially aware NLP; LLMs and human-AI interaction; AI agents in work, well-being, and creative contexts; computational social science; dialect-aware language modeling.
How to apply:
- Postdoc: Complete this interest form, then email diyiy@cs.stanford.edu. Prior publication record at top NLP, ML, or computational social science venues required. 2
- PhD: Apply through Stanford CS admissions; mention Diyi Yang in your application. Do not email directly about admission.
- Visiting: Fill this form before contacting.
Location: Stanford, CA. Deadline: Rolling.
2. Yonatan Belinkov — Technion (PhD, 2026-2027 cohort)
Yonatan Belinkov is an associate professor at the Technion's Taub Faculty of Computer Science. He is spending 2025-2026 at the Harvard Kempner Institute and will return to the Technion for the 2026-2027 academic year. His lab works on interpretability of large language models, robustness and safety, emergent communication, and biological language models. He publishes regularly at EMNLP, ICLR, ACL, and NeurIPS. 3
Currently open: PhD students for the 2026-2027 academic year (new cohort, separate from the postdoc slot covered in Issue #1). Contact during spring 2026 — still timely to reach out.
Representative recent papers:
- Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps — EMNLP 2025
- Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics — ICLR 2025
- Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines — ACL 2024
Research focus: LLM interpretability; robustness, safety, and controllability; emergent and multi-agent communication; AI for biology and protein language models.
How to apply: Email to
belinkov [at] technion.ac.il with CV, transcripts, and an example code project. 3Location: Haifa, Israel (Technion). International students welcome; contact the Kempner Institute if based in the Boston area for near-term collaboration. Deadline: Rolling, spring 2026 is the preferred window for 2026-2027 cohort contact.
3. Meng Jiang — Notre Dame FAML Lab (Postdoc, 2027 start)
Meng Jiang is an associate professor at the University of Notre Dame and director of the Foundation Models and Applications (FAML) Lab, housed within the Lucy Family Institute for Data & Society. His lab focuses on personalized and agentic LLMs, LLM reasoning and evaluation, multimodal AI, and interdisciplinary applications including AI for science and education. He has published extensively at ACL, EMNLP, NAACL, NeurIPS, ICLR, and KDD. 4
Currently open: 1 postdoc position, with a 2027 start date. The research topic emphasizes interdisciplinary collaborations.
Representative recent papers:
- Instant Personalized Large Language Model Adaptation via Hypernetwork — ACL 2026
- Graph Diffusion Transformers are In-Context Molecular Designers — ICLR 2026
- Graph Diffusion Transformer for Multi-Conditional Molecular Generation — NeurIPS 2024 (Oral)
Research focus: Foundation model personalization and adaptation; LLM reasoning, self-correction, and evaluation; multimodal AI; AI for science (chemistry, biology, materials); agentic conversational systems.
How to apply: Apply through the Lucy Institute open positions page or contact Meng Jiang directly by email. 5
Location: Notre Dame, IN. Deadline: Not stated; rolling. Start: 2027.
4. Ai2 Young Investigator — Robotics Team (Postdoc)
The Allen Institute for AI (Ai2) has opened a new Young Investigator slot on its Robotics team, led by Dieter Fox. The Ai2 YI program is a postdoc-equivalent role: candidates balance 50% collaborative work on Ai2 and UW projects with 50% independent research. Salary is listed at $159,650, with a dedicated mentor, generous travel budget, full visa support, and up to $100K research seed funding after program completion. 6
This position is distinct from the FlexOlmo YI slot covered in Issue #2 — that one is Berkeley-based and NLP-focused; this one is Seattle-based and centers on robot learning.
Research focus: Robot foundation model scaling and generalization; manipulation and skill acquisition; large-scale GPU-accelerated simulation; sim-to-real transfer; fully open-source research.
Eligibility: Within one year of PhD completion, or PhD already in hand. Prior publications at RSS, CoRL, ICRA, NeurIPS, CVPR, ECCV, or ICCV preferred.
How to apply: Via the Ai2 Greenhouse posting. 7
Location: Seattle, WA (on-site required). Duration: 1-3 years. Deadline: Not stated; rolling.
5. Hanna Hajishirzi — H2Lab, University of Washington (PhD + Postdoc, rolling)
Hanna Hajishirzi is the Torode Family Professor at UW's Paul G. Allen School of Computer Science and Engineering, and Senior Research Director at Ai2. Her H2Lab publishes at NeurIPS, ICLR, ICML, ACL, EMNLP, and NAACL, and leads the OLMo open language model project. H2Lab won the best paper award at EMNLP 2025 for Infini-gram mini. 8 9
Currently open: Rolling PhD admissions through the UW Allen School PhD program; postdoc applications also accepted on a rolling basis.
Representative recent papers:
- Infini-gram mini — EMNLP 2025 Best Paper
- OLMo 2 (preprint 2024, widely adopted open LM)
- Multiple papers at ICLR 2025, EMNLP 2025, NeurIPS 2025
Research focus: Open large language models (OLMo project); post-training and RLHF alignment; retrieval-augmented language modeling; reasoning and agents; open-source data and evaluation infrastructure for AI.
How to apply:
- PhD: Apply to the UW Allen School PhD program; mention Hanna Hajishirzi as a faculty interest. Rolling consideration — early fall submission typical. 10
- Postdoc: Contact hannaneh [at] cs.washington.edu with CV and research statement.
Location: Seattle, WA. Deadline: Rolling (PhD deadline typically Dec 1 for fall admission).
Summary table
| PI | Institution | Position(s) | Deadline | Source |
|---|---|---|---|---|
| Diyi Yang | Stanford | Postdoc (1-2) + PhD | Rolling | Lab page |
| Yonatan Belinkov | Technion | PhD (2026-2027) | Rolling (spring 2026 window) | Homepage |
| Meng Jiang | Notre Dame | Postdoc (1, 2027 start) | Rolling | Lab page |
| Ai2 Robotics YI | Allen Institute for AI | Postdoc (YI program) | Rolling | Greenhouse |
| Hanna Hajishirzi | UW / Ai2 | PhD + Postdoc | Rolling (PhD Dec 1 cycle) | H2Lab |
Previously covered labs still accepting applications: Wei Xu (GaTech, cocoxu.github.io), Eunsol Choi (NYU, eunsol.github.io), Yizhong Wang (UT Austin, homes.cs.washington.edu/~yizhongw).
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