CS PhD & Postdoc Recruitment Roundup — Week of June 2, 2025

CS PhD & Postdoc Recruitment Roundup — Week of June 2, 2025

Seven PhD and postdoc openings from labs with recent NeurIPS, ICML, ICLR, CVPR, and ACL papers — covering embodied AI (CUHK), AI systems (CUHK), NLP (Georgia Tech, UMD), ML for biology (VIB Belgium), and applied AI (Bosch BCAI). Includes research direction, stipend notes, and lab culture for each.

CS Top-Conference PhD Recruitment Roundup
2026. 6. 3. · 15:58
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CS Top-Conference PhD Recruitment Roundup — Week of June 2, 2025

This week's digest covers PhD and postdoc openings publicly announced by faculty with recent NeurIPS, ICML, ICLR, CVPR, and ACL papers. Each entry lists research direction, application details where available, and a short note on lab culture and fit.

Open positions this week

The listings below span embodied AI, AI systems, NLP, ML for biology, and computer vision — a cross-section of what top-conference labs are recruiting for right now.

Hongsheng Li — Chinese University of Hong Kong (CUHK)

Prof. Hongsheng Li is recruiting PhD students for the 2027 intake, with focus on:
  • Embodied AI and robotic manipulation
  • Multimodal foundation models
Li's lab published 27 papers at ICML, CVPR, ICLR, and AAAI in 2026, and 13 papers at NeurIPS 2025 — one of the most productive vision/embodied-AI groups in Asia. He was promoted to Full Professor effective August 2026. 1
FieldDetails
PositionPhD student (2027 intake)
InstitutionCUHK, Hong Kong
Research areasEmbodied AI, robotic manipulation, multimodal models
StipendPer CUHK HKPFS / standard PhD funding (not disclosed on page)
LocationHong Kong SAR
Remote typeOn-site
Key requirementsStrong CV research background, top-conference publications a plus
DeadlineNot disclosed — contact early
Applyee.cuhk.edu.hk/~hsli/
Lab culture note: High-output group with strong conference presence. Good fit for applicants interested in scaling vision models toward robotics. Given the 2027 intake timeline, this is the right moment to reach out.

Yajin Zhou — Chinese University of Hong Kong (CUHK)

Prof. Yajin Zhou (Associate Professor, CUHK) is actively seeking PhD students and postdocs with strong backgrounds in AI systems and operating systems. 2
FieldDetails
PositionPhD student / Postdoc
InstitutionCUHK, Hong Kong
Research areasAI systems, operating systems, security
StipendPer CUHK standard (not disclosed)
LocationHong Kong SAR
Remote typeOn-site
Key requirementsSystems background; interest in OS and AI infrastructure
DeadlineRolling — "self-motivated" candidates preferred
Applyyajin.org
Lab culture note: Systems-focused group with emphasis on OS-layer AI work. Less crowded niche than pure ML; strong for students who want to build the infrastructure underneath large models.

Wei Xu — Georgia Institute of Technology

Prof. Wei Xu (Associate Professor, School of Interactive Computing, Georgia Tech) works on NLP, machine learning, and large language models, with particular interest in multilingual and cross-cultural LLMs. Her lab has published at ACL, EMNLP, and related venues. 3
FieldDetails
PositionPhD student
InstitutionGeorgia Institute of Technology, Atlanta, GA, USA
Research areasNLP, multilingual LLMs, machine translation, data-efficient learning
StipendStandard US CS PhD RA/TA stipend
LocationAtlanta, GA (on-site)
Remote typeOn-site
Key requirementsStrong programming, NLP research experience
DeadlineGeorgia Tech deadline (typically December)
Applycocoxu.github.io
Lab culture note: One of the more actively recruiting NLP labs at Georgia Tech. Good for cross-cultural and multilingual NLP track. Xu is also affiliated with the Georgia Tech ML Center.

Dmitry Kobak — VIB Center for AI & Computational Biology (VIB.AI), Belgium

Dr. Dmitry Kobak has opened multiple PhD positions at the newly established Kobak Lab at VIB.AI in Belgium. The lab applies machine learning and dimensionality reduction to biological data (single-cell, neural data). Kobak is an area chair at NeurIPS, ICML, and ICLR (all from 2026) and action editor at TMLR. 4 5
FieldDetails
PositionMultiple PhD positions
InstitutionVIB Center for AI & Computational Biology, Belgium
Research areasMachine learning for biology, dimensionality reduction, single-cell data, neural data
StipendBelgian doctoral fellowship (FWO / VIB standard — competitive European rate)
LocationBelgium
Remote typeOn-site
Key requirementsMSc in CS, physics, statistics, or computational biology; ML experience
DeadlineOpen — start "as soon as possible"
Applyjobs.vib.be Kobak Lab posting
Lab culture note: Newly opened lab — strong opportunity to shape the research agenda early. Kobak's dual footing in top-tier ML venues and biological applications makes this ideal for cross-disciplinary students.

Laptop open to research papers on a study desk
Laptop open to research papers on a study desk

Mohit Iyyer — University of Maryland

Prof. Mohit Iyyer (Associate Professor, UMD CS) works on NLP — specifically long-form text generation, literary NLP, and machine reading. His page notes he plans to accept one new PhD student for the coming cycle. 6
FieldDetails
Position1 PhD student
InstitutionUniversity of Maryland, College Park, MD, USA
Research areasLong-form text generation, literary NLP, machine comprehension
StipendStandard US CS PhD stipend
LocationCollege Park, MD (on-site)
Remote typeOn-site
Key requirementsNLP background; writing research experience a plus
DeadlineUMD CS deadline (typically December)
Applycs.umd.edu/~miyyer
Lab culture note: Small cohort — expect close mentoring. Good fit for applicants whose interests sit at the intersection of language models and literary / humanistic applications.

Yunpeng Li — (Institution TBC)

Dr. Yunpeng Li has announced a fully-funded PhD position in the broad areas of multimodal AI and digital healthcare, open as of May 2026. 7
FieldDetails
PositionFully-funded PhD
InstitutionNot publicly specified on homepage — contact for details
Research areasMultimodal AI, digital healthcare
StipendFully funded (confirmed)
LocationNot disclosed
Remote typeNot disclosed
Key requirementsBackground in ML or biomedical computing
DeadlineNot disclosed — rolling
Applyyunpengli.ac
Lab culture note: Limited public information on lab structure. Worth a direct email if multimodal healthcare AI aligns with your interests.

Bosch Center for Artificial Intelligence (BCAI)

Bosch BCAI — Bosch's central AI research division, based in Germany with presence across multiple sites — currently employs ten PhD students and one postdoc and is described as an active hiring unit for 2025–2026. Research covers AI/ML applications in computer vision, automation, and automotive systems. 8
FieldDetails
PositionPhD student / Postdoc (industry)
InstitutionBosch Center for AI (Robert Bosch GmbH)
Research areasComputer vision, applied ML, robotics, automotive AI
StipendIndustry PhD stipend (typically above academic rates in Germany)
LocationGermany (multiple sites)
Remote typeOn-site / hybrid
Key requirementsStrong ML background; publications at CVPR/NeurIPS/ICML a significant plus
DeadlineRolling open positions — check BCAI careers
Applybosch.com/research/bcai
Lab culture note: Industry PhD route — co-advised with external university faculty (standard German Doktorand model). Strong access to proprietary hardware datasets and real-world robotics test beds. Less suited for purely theoretical work; excellent for applied systems.

Library shelves with academic books — representing cross-institutional lab search
Library shelves with academic books — representing cross-institutional lab search

How to read these listings

The information above is drawn from publicly available lab homepages and job boards as of the week of June 2, 2025. Deadlines and slot availability can change; always verify directly with the lab before investing time in an application.
A few patterns this week:
  • Asia and Europe dominate new openings — CUHK (two labs), VIB Belgium, and Bosch Germany. US openings (Georgia Tech, UMD) are tied to standard December admission cycles.
  • AI systems and embodied AI are active — both CUHK labs position toward infra-layer and robot-facing ML, reflecting demand from the robotics/foundation-model convergence.
  • Small cohorts = closer mentorship — Iyyer explicitly limits to one student; Kobak's lab is newly opened. Early contact is especially important for these.
If you spot a PhD or postdoc opening from a recent top-conference author that should be in next week's roundup, details on the channel page.

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