CS PhD Roundup — Week of June 22, 2026
22/6/2026 · 9:22

CS PhD Roundup — Week of June 22, 2026

Three new positions qualify this week: a PhD at INRIA Paris under Cordelia Schmid (robotics/computer vision, deadline July 17), a postdoc at SDU Denmark under Melih Kandemir (neuromorphic RL, deadline September 1), and three EPFL postdocs under Charlotte Bunne (biological foundation models + frontier generative AI, rolling). All four positions from last week's deadline cluster have closed. Three rolling positions at ISTA (Lampert, Locatello) and University of Bonn (Rußwurm) remain open.

Coverage window: June 15–22, 2026. Three new positions qualify this week — a PhD at INRIA Paris under Cordelia Schmid (robotics/computer vision), a postdoc at SDU Denmark under Melih Kandemir (neuromorphic RL), and two postdocs at EPFL under Charlotte Bunne (biological foundation models and frontier generative AI). All four positions from last week's imminent-deadline cluster — Vienna, UiT, KU Leuven, and INRIA Sophia Antipolis — have now closed. The three rolling positions at ISTA (Lampert and Locatello groups) and University of Bonn (Rußwurm MEO Lab) remain open with no change in status.

At a glance — all active positions

DeadlineAdvisor(s)InstitutionSub-fieldType
July 17, 2026Cordelia SchmidINRIA Paris, WILLOW teamRobotics / Computer VisionPhD
September 1, 2026Melih KandemirSDU ADIN Lab, DenmarkNeuromorphic RLPostdoc
RollingCharlotte BunneEPFL AIMM Lab, SwitzerlandBiological foundation modelsPostdoc (×2)
RollingCharlotte BunneEPFL AIMM Lab, SwitzerlandFrontier generative AIPostdoc
RollingChristoph H. LampertISTA, AustriaTrustworthy ML, neuro-symbolic AIPostdoc (×2)
RollingFrancesco LocatelloISTA, AustriaCausal learning and AIPhD & Postdoc
RollingMarc RußwurmUniversity of Bonn, GermanyGeospatial neural fieldsPhD (×2)

New this week — robotics and computer vision (PhD)

PhD in structured ego-world models — Cordelia Schmid, INRIA Paris (WILLOW team)

Deadline: July 17, 2026 · Start: September 1, 2026
INRIA Paris has posted PhD position 2026-10180, supervised by Cordelia Schmid (Research Director, INRIA; Research Scientist, Google; head of the WILLOW team). 1 The research focus is on building 3D/4D geometric world models that can transfer dexterous manipulation skills across robot embodiments — specifically, models that decouple how the environment behaves from how a robot's own body moves.
The three-year program runs in sequence: Year 1 targets latent representations for geometric consistency, temporal scene memory, and affordance modeling. Year 2 develops factorized world models with separate dynamics streams for the world and for the robot's kinematics, enabling cross-embodiment transfer from human video to robot policies. Year 3 covers cross-embodiment adaptation and the design of new benchmarks for transfer robustness. 1
The motivation framed in the listing: current state-of-the-art robot learning policies are "severely brittle to cross-embodiment shifts, viewpoint perturbations, out-of-distribution visual environments, and the compounding errors inherent to long-horizon inference," with the core bottleneck being "a monolithic, direct pixel-to-action mapping." 1 The proposed direction is structured 3D/4D representations and factorized world models grounded in geometry rather than raw pixels.
Schmid's top-venue output (2022–2025): CVPR 2024 (8+ papers, including Pixel Aligned Language Models, MoReVQA, Streaming Dense Video Captioning, SUGAR, End-to-End Spatio-Temporal Action Localisation); CVPR 2025 (7+ papers, including FirePlace, Visual Lexicon, InteractVLM, Language-Guided Image Tokenization); ICLR 2024 and 2025; ICML 2024; NeurIPS 2024; ACL 2025 Findings. 2 She received the Körber European Science Prize in 2023 and holds a dual appointment with Google Research.
Robotic arm grasping a geometric object on a lab bench, holographic wireframe overlays in cyan-green, dual monitors showing 3D scene reconstruction, tungsten lamp lighting
AI-generated illustration of a dexterous robot learning lab — visual reference for the ego-world model research context.
Security note: The position is located in a Zone à Régime Restrictif (ZRR). An adverse ministerial decision on the required French government clearance cancels the appointment. Applicants who are not French nationals should contact INRIA before investing significant time in the application. 1
FieldDetails
Position typePhD (3-year contract)
InstitutionCentre Inria de Paris, WILLOW team
AdvisorCordelia Schmid (also Research Scientist, Google)
Stipend€2,300/month gross
Start dateSeptember 1, 2026
LocationParis, France
SecurityZRR clearance required
DeadlineJuly 17, 2026
RequirementsMaster's in CS, computer vision, robotics, or ML; programming proficiency; English required
Applyjobs.inria.fr — offer 2026-10180 · contact: [email protected]

New this week — neuromorphic reinforcement learning (postdoc)

Postdoc in neuromorphic RL — Melih Kandemir, SDU ADIN Lab (Denmark)

Deadline: September 1, 2026 · Earliest start: October 1, 2026
The ADIN Lab (Adaptive Intelligence Lab) at the University of Southern Denmark (SDU, Odense) is recruiting a two-year postdoc in neuromorphic reinforcement learning. 3 Supervisor is Prof. Melih Kandemir, who has published at NeurIPS 2022, 2023, and 2024 and at ICLR 2022. 4
The research agenda sits at the intersection of deep RL, probabilistic modeling, and spiking neural networks (SNN). The stated goal is adaptive control in non-stationary environments with applications to robotic systems and embodied AI — specifically, providing "theoretical guarantees (e.g., convergence, stability, or sample complexity) for control tasks in non-stationary environments." 3 The lab's framing is that the boundary between training and deployment should not be fixed — the agent adapts throughout its operational life.
The position carries standard Danish academic collective-agreement compensation and full Danish social benefits. SDU's main campus is in Odense, Denmark.
Spiking neural network rendered as a brain-shaped luminous graph with amber and violet pulsing nodes on deep indigo background
AI-generated illustration of a spiking neural network — conceptual reference for the neuromorphic RL direction.
Application requirements (hard): Completed PhD in CS, mathematics, statistics, or theoretical physics. At least two first-author papers accepted at NeurIPS, ICML, ICLR, or AISTATS. Proficiency in Python/PyTorch/JAX. 3 The publication bar is explicit and non-negotiable by the listing's own wording.
FieldDetails
Position typePostdoc (2-year contract)
InstitutionSDU ADIN Lab, Odense, Denmark
AdvisorProf. Melih Kandemir
SalaryDanish academic collective agreement rate (competitive postdoc salary + Danish social benefits)
Start dateOctober 1, 2026 (earliest)
LocationOdense, Denmark
DeadlineSeptember 1, 2026
RequirementsPhD in CS / math / stats / theoretical physics; ≥2 first-author papers at NeurIPS / ICML / ICLR / AISTATS; Python / PyTorch / JAX
ApplySDU Oracle Cloud recruitment system, Job ID 4085 — CV + full publication list + PhD certificate

New this week — biological foundation models and frontier AI (postdoc ×3)

Three postdoc positions — Charlotte Bunne, EPFL AIMM Lab (Switzerland)

Deadline: Rolling — priority review for fall 2026 start
The AIMM Lab (Artificial Intelligence in Molecular Medicine) at EPFL, led by Prof. Charlotte Bunne, has two distinct postdoc openings posted this month. Bunne holds appointments in EPFL's School of Computer Science, School of Life Sciences, and the EPFL AI Center. Her lab has published at NeurIPS (2022). 5
Position A — biological foundation models (2 postdocs) 5
The listing describes the scope as "the full stack of biological foundation model research: from core architecture design and pretraining at scale to integration into agentic interfaces." Research directions include pretraining objectives, tokenization for biological data, scalable architectures, multi-modal learning across biological data types (genomics, imaging, proteomics), and translational applications in drug discovery and biomedicine. Active industry partnerships with pharmaceutical companies are part of the research context. Stipend: competitive EPFL postdoc salary plus full social benefits. Compute: allocations on the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative.
Requirements: ML/CS/computational biology PhD; demonstrated large-scale AI development experience (pretraining, fine-tuning, scaling); familiarity with biological data modalities; strong publication record at top ML venues or life sciences journals.
Apply: Send CV, one-page research interest statement, and two references to [email protected] with subject line [AIMM Lab] Application PostDoc. Also available to apply through the EPFL careers portal.
Position B — frontier AI research / generative AI (1 postdoc) 6
A separate, methodology-forward role. The listing states: "The position is highly methodological and focuses on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies." 6 Methods targeted include diffusion models, flow matching, and generative Transformers. No biology or biomedical background required.
Requirements: PhD in ML, CS, applied mathematics, statistics, physics, or engineering; demonstrated generative AI expertise; large-scale and distributed training experience; strong top-venue publication record.
Apply: Same path as Position A ([email protected], [AIMM Lab] Application PostDoc).
Protein structure ribbons (alpha-helices and beta-sheets) in teal and blue overlaid on a genomic heatmap grid, lab equipment in foreground, dark navy background
AI-generated illustration of biological foundation model research — conceptual reference for the multi-modal molecular data direction.
Position A (×2)Position B (×1)
Position typePostdocPostdoc
FocusBiological foundation modelsFrontier generative AI
Biology backgroundRequiredNot required
StipendCompetitive EPFL postdoc salary + full social benefitsCompetitive EPFL postdoc salary + full social benefits
ComputeCSCS / Swiss AI Initiative GPU allocationCSCS / Swiss AI Initiative GPU allocation
LocationLausanne, SwitzerlandLausanne, Switzerland
DeadlineRolling — ideal start: fall 2026Rolling — ideal start: fall 2026
Apply[email protected] · [AIMM Lab] Application PostDoc[email protected] · [AIMM Lab] Application PostDoc

Continuing open positions

These three positions were listed in prior issues and remain open. No status changes were detected during this week's check.

ISTA — Christoph H. Lampert, CVML group (trustworthy ML / neuro-symbolic AI)

Postdoc, rolling deadline. 7 The CVML group page notes "no fixed deadline, applications will be considered until all positions are filled" and was last updated in June 2026. Research clusters: trustworthy ML (privacy, fairness, robustness, federated learning, LLM security); transfer and continual learning; neuro-symbolic AI. Salary: €73,500–€80,472/year on Austria's collective agreement (14 payments/year). No mandatory teaching. Apply via single PDF to chl(at)ist.ac.at.

ISTA — Francesco Locatello group (causal learning and AI)

Multiple PhD and postdoc positions, rolling. 8 The group page confirms openings are active ("Multiple PhD student and postdoc positions are available!"). Research: causal representation learning, causal discovery, dynamic systems, visual reasoning, AI for Science. The group had 5 papers at NeurIPS 2025. PhD applications go through https://phd.pages.ista.ac.at/; postdoc inquiries to [email protected].

University of Bonn — Marc Rußwurm, MEO Lab (geospatial neural fields)

One to two PhD positions, rolling. 9 "The position is open until filled, and applications will be reviewed on a rolling basis." Research: geospatial neural fields — continuous, queryable, uncertainty-aware representations of the planet encoding location, time, scale, sensor modality, and environmental context. Funding: DFG Emmy Noether project + Taylor Geospatial Institute. Salary: TV-L E13, full-time. Target start: late summer 2026. Apply via Tally form at tally.so/r/LZk0Qy (cover letter + CV in English).

Positions that closed this week

All four positions from last week's imminent-deadline cluster have now closed. They remain here for reference only — no applications are possible.
ClosedAdvisor(s)InstitutionSub-fieldStatus
June 16, 2026Sebastian TschiatschekUniversity of ViennaIRL, safe/aligned AIExpired — Nature Careers shows "This job has expired"; Univie portal returns no results 10
June 17, 2026Robert Jenssen et al.UiT Arctic AI² Institute, NorwayDeep learning, climate/remote sensingRemoved — Jobbnorge listing withdrawn 11
June 18, 2026Mathias VerbekeKU Leuven, BrugesCausal ML, industrial root cause analysisClosed — AcademicPositions shows "This job has been closed and is no longer available" 12
June 21, 2026 (stale)Giovanni Neglia & Chuan XuINRIA Sophia AntipolisFederated learning, privacy/securityStale — deadline passed, listing page still accessible but no new applications can be considered 13

Complete deadline table

DeadlineAdvisor(s)InstitutionSub-fieldTypeFirst listed
July 17, 2026Cordelia SchmidINRIA Paris, WILLOW teamRobotics / Computer VisionPhDThis issue
September 1, 2026Melih KandemirSDU ADIN Lab, DenmarkNeuromorphic RLPostdocThis issue
RollingCharlotte BunneEPFL AIMM Lab, SwitzerlandBiological foundation modelsPostdoc ×2This issue
RollingCharlotte BunneEPFL AIMM Lab, SwitzerlandFrontier generative AIPostdocThis issue
RollingChristoph H. LampertISTA, AustriaTrustworthy ML, neuro-symbolic AIPostdoc ×2June 15
RollingFrancesco LocatelloISTA, AustriaCausal learning and AIPhD & PostdocJune 15
RollingMarc RußwurmUniversity of Bonn, GermanyGeospatial neural fieldsPhD ×2June 1
June 16Sebastian TschiatschekUniversity of ViennaIRL, safe/aligned AIPhDJune 1
June 17Robert Jenssen et al.UiT [AI]² Arctic InstituteDeep learning, climate/remote sensingPhD ×5June 1
June 18Mathias VerbekeKU Leuven, BrugesCausal ML, industrial root cause analysisPhDMay 18
June 21 ❌ (stale)Giovanni Neglia & Chuan XuINRIA Sophia AntipolisFederated learning, privacy/securityPhDJune 8

Notes for applicants

INRIA / Schmid closes July 17 — this is the only fixed deadline among the new positions. The ZRR clearance requirement is the one non-research factor that could invalidate an application after the fact; non-French nationals applying should get an explicit confirmation from INRIA's HR team before the deadline rather than after. The research direction fills a gap that has been absent from this roundup since launch — RL/robotics under a world-class CV researcher with a Google dual appointment. 1
SDU / Kandemir closes September 1 — the latest hard deadline in the current pool. The publication bar (≥2 first-author papers at flagship ML venues) is unusually explicit and worth reading carefully before investing time in the application. Applicants who have publications at AISTATS qualify; NeurIPS/ICML/ICLR are the obvious matches. The two-year postdoc contract and Danish social benefits package are competitive for Scandinavia. 3
EPFL / Bunne — three postdoc slots, two different profiles. Position A (×2) requires biological data fluency; Position B requires generative AI methods depth. The Swiss AI Initiative compute allocation (CSCS) is a material advantage for researchers working at large scale. Both positions are rolling but targeting fall 2026 starts, which means earlier applications are more likely to get full consideration. 5 6
ISTA / Lampert and ISTA / Locatello — both groups are at the same institute in Klosterneuburg, Austria. Applicants who fit either direction should consider both simultaneously, as the groups co-affiliate with the ELLIS Unit Vienna. 7 8
NLP/LLM and ML theory gaps persist. No positions in either sub-field qualified this week or last. The INRIA pipeline was particularly thin this cycle — four of the five new INRIA listings screened had PIs without top-venue ML publications. US-based openings remain a structural gap in the covered sources.
Cover image: AI-generated illustration.

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