If you are at ICML, stop by the poster to learn more about this work

📢 Excited to announce the 1st workshop on Making Sense of Data in Robotics Conference on Robot Learning! #CORL2025 What makes robot learning data “good”? We focus on: 🧩 Data Composition 🧹 Data Curation 💡 Data Interpretability 📅 Papers due: 08/22/2025 🌐 tinyurl.com/corldata25 🧵(1/3)

I will be recruiting a few students for Fall 2026. In particular, I will strongly consider a PhD applicant with training in applied/computational mechanics and computer vision/machine learning. If you or someone you know has this background, please contact me.

heading to #ICCV2025, anyone up for a ☕️? also, my team at FAIR has an internship opening on world modeling, planning, and their robotics applications. DM me if you’re interested.

Excited to be at #ICCV2025 in Hawaii!🌴 I'll present two papers: M3DocVQA/M3DocRAG (Mon) and CAPTURe (Tue). Check our poster sessions👇 and feel free to ping me to grab a coffee together I'm hiring PhD students to work on multimodal AI and robotics with me at JHU from Fall 2026!

I'll be joining the faculty Johns Hopkins University late next year as a tenure-track assistant professor in JHU Computer Science Looking for PhD students to join me tackling fun problems in robot manipulation, learning from human data, understanding+predicting physical interactions, and beyond!

Robot Learning JHU Computer Science is growing! Multiple faculty incl. Homanga Bharadhwaj Zih-Yun Chiu Haimin Hu Jaemin Cho Anand Bhattad and these are all just ~new hires with Johns Hopkins Data Science and AI Institute Apply to work with us this PhD admissions cycle (Dec 15 deadline) cs.jhu.edu/academic-progr…

JHU Computer Science is hiring tenure-track faculty (all ranks) via Johns Hopkins Data Science and AI Institute: apply.interfolio.com/174372 If you work in vision, robotics, ML, or related areas come join our vibrant community!

Prospective PhD students should definitely consider joining Krishna's team at SciPhy next year!

I always thought the decline in fundamental AI research funding would happen because AI didn’t generate enough value to be worth the cost. But it seems like it’s happening because it generated too much value. And the race to capture that value is taking priority. Just

Several of my team members + myself are impacted by this layoff today. Welcome to connect :)

Meta has gone crazy on the squid game! Many new PhD NGs are deactivated today (I am also impacted🥲 happy to chat)

After 7 years at FAIR, I've been affected by the recent AI layoffs. If you are interested in robotics learning, let's chat :)

It's really unfortunate to hear the FAIR layoff news.. Meta friends: if you are interested in working on frontier real-world robotics, Dyna Robotics is hiring! Please DM me!

If you were affected by Meta Embodied AI layoffs, my team at 1X is hiring! DM me your resume and we'll immediately follow up. The team works on data, world models, RL, data, VLA, evals, VLMs, speech2speech interfaces, data engine infra, and more data.

🌍 We are hiring! Would you please help us spread the word? We welcome talents from every corner of the world — postdocs, PhD students, and paid, full-time research interns — to join us in exploring AI and physics simulation. #3D #Robotics #Graphics #Hiring #UBC

Introducing XFactor: the first pose- and geometry-free method capable of true Novel View Synthesis (NVS). We re-think NVS and the concept of camera poses completely without concepts from multi-view geometry as a pure representation learning problem! mitchel.computer/xfactor/ (1/n)

I’m on the academic market this year, and is activately seeking faculty position in robot learning. My work focuses on developing efficient robotics foundation models with strong priors for reasoning and generalization. Please ping me up if there is any opportunities!

PhD application season is here! The CLEAR Lab @ MIT CSAIL is recruiting students excited about human-centered robot learning and algorithmic HRI. If you're interested in working on: 🤝 IRL & preference learning 🎛️ steering & finetuning large behavior models (diffusion