CS Top-Conference PhD Recruitment Roundup — Week of June 15, 2026
One new qualifying position this week — ISTA / Christoph H. Lampert postdoc (trustworthy ML, neuro-symbolic AI, transfer learning; rolling deadline; €73,500–80,472/year). Four previously listed PhD positions close within six days (Vienna June 16, UiT June 17 ×5, KU Leuven June 18, INRIA Sophia June 21), all re-verified open. INRIA Grenoble (Hueber) expired June 12 and confirmed removed. Full deadline master table and per-position applicant notes included.
15/6/2026 · 22:34
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Coverage window: June 8–15, 2026. One new position clears the top-venue bar this week — a postdoc opening in Christoph Lampert's Machine Learning and Computer Vision group at ISTA (Institute of Science and Technology Austria), with a rolling deadline and salary starting at €73,500/year. Four previously listed positions close between June 16 and June 21; all four were re-verified open as of today. One position (INRIA Grenoble, Thomas Hueber) expired on June 12 and its listing has been removed.
Scan coverage this week: ISTA group pages, jobs.inria.fr, jobbnorge.no, academicpositions.fr, meo-lab.com, Nature Careers, University of Vienna jobs portal. Deadline re-verification completed for all six previously tracked positions.
At a glance — all active positions
| Deadline | Advisor(s) | Institution | Sub-field | Type |
|---|---|---|---|---|
| June 16 ⚠️ | Sebastian Tschiatschek | University of Vienna | IRL, safe/aligned AI | PhD |
| June 17 ⚠️ | Robert Jenssen + 4 co-PIs | UiT Arctic Institute of AI, Norway | Deep learning for climate & remote sensing | PhD (×5) |
| June 18 ⚠️ | Mathias Verbeke | KU Leuven, Bruges | Causal ML for industrial root cause analysis | PhD |
| June 21 | Giovanni Neglia & Chuan Xu | INRIA Sophia Antipolis, France | Federated learning, privacy/security | PhD |
| Rolling | Christoph H. Lampert | ISTA, Klosterneuburg (near Vienna) | Trustworthy ML, transfer learning, neuro-symbolic AI | Postdoc (×2) |
| Rolling | Marc Rußwurm | University of Bonn, Germany | Implicit neural representations, earth observation | PhD (×2) |
New this week — trustworthy ML and neuro-symbolic AI (postdoc)
Multiple postdoc positions — Christoph H. Lampert group, ISTA
Deadline: Rolling — open until filled
The ISTA Machine Learning and Computer Vision (CVML) group, led by Prof. Christoph H. Lampert (ELLIS Fellow and Unit Director; h-index 54, 26,000+ citations 1), is recruiting one to two postdocs across three research clusters:
- Trustworthy ML — privacy, fairness, robustness, federated learning, LLM security
- Transfer and continual learning — multi-task, domain adaptation, meta-learning, lifelong learning
- Neuro-symbolic AI — combining formal logic, structured reasoning, and knowledge representations with neural networks
The group had 13 publications at NeurIPS, ICML, ICLR, or CVPR between 2022 and 2025. 2
Compensation and working conditions:
ISTA postdoc salaries are set by Austria's collective agreement and published on the ISTA postdoc office page. 3 The three 2026 salary levels are:
| Level | Annual salary | Structure |
|---|---|---|
| PD1 | €73,500 | Entry |
| PD2 | €76,986 | Mid |
| PD3 | €80,472 | Senior |
Salaries are paid 14 times per year (12 months plus two bonus payments that cover overtime). Benefits include 25 working days of annual leave, no mandatory teaching (voluntary PhD-course teaching is encouraged but not required), state-of-the-art compute resources, and conference travel funding. 3
Research environment:
ISTA is a public research institute in Klosterneuburg, about 18 km north of central Vienna and 30 minutes by direct train from Vienna Spittelau station. The institute describes itself as dedicated to "curiosity-driven basic research." Postdocs in the Lampert group may co-affiliate with other ELLIS Unit Vienna groups, including Alistarh (distributed computing and optimization), Mondelli (information theory), Locatello (causal learning), Bronstein (geometric deep learning), Henzinger (formal methods), and Robinson (biology and ML). 4
Application materials:
Submit a single PDF to chl(at)ist.ac.at with: CV, research statement, full publication list, academic transcripts, and contact details for three references. Female candidates are specifically encouraged to apply. 1
| Field | Details |
|---|---|
| Position type | Postdoc (100% research, no mandatory teaching) |
| Institution | ISTA, Klosterneuburg, Austria |
| Advisor | Prof. Christoph H. Lampert |
| Contract length | 1–2 years |
| Salary | €73,500–€80,472/year (14 payments) |
| Requirements | PhD in ML or related area; strong math and programming; publications at NeurIPS / ICML / ICLR / JMLR / TPAMI / ML |
| Deadline | Rolling — positions filled as applications arrive |
| Start date | Flexible |
| Application | Single PDF → chl(at)ist.ac.at |
Also at ISTA: The Causal Learning and AI group led by Prof. Francesco Locatello currently has multiple PhD and postdoc positions open as well. 5 No separate listing page was available as of June 15 — direct inquiry via [email protected] is the application path.
ISTA-Fellow program: ISTA also runs a structured two-year postdoc fellowship (ISTA-Fellow) with a minimum salary of €73,500/year and full social security coverage. The 2026 cycle closes September 8, 2026 and requires a separate application via apply.ista.ac.at. 6
Imminent deadlines — June 16 through June 21
June 16 — IRL and safe/aligned AI · University of Vienna
Deadline: June 16, 2026 — tomorrow
The University of Vienna PhD position supervised by Prof. Sebastian Tschiatschek (Probabilistic and Interactive Machine Learning group, Faculty of Computer Science, Research Group Data Mining and Machine Learning) was re-verified open on June 15. 7 This position has already received one 10-day extension (from June 6 to June 16); no further extension has been posted.
Research focus: Inverse Reinforcement Learning (IRL), exploration in RL, and safe/aligned AI. The Vienna position is one of the few currently tracked openings with an explicit safe-AI mandate.
| Field | Details |
|---|---|
| Position type | Predoctoral university assistant (PhD) |
| Contract | 4 years, 30 hours/week |
| Salary | €3,776.10/month gross |
| Start date | October 1, 2026 |
| Location | Vienna, Austria |
| Deadline | June 16, 2026 |
| Apply | jobs.univie.ac.at (job ID 5376) / nature.com/naturecareers (job ID 12859459) |
| Contact | [email protected] |
June 17 — Deep learning for climate and remote sensing · UiT The Arctic University of Norway
Deadline: June 17, 2026 — two days away
The [AI]² Arctic Institute for AI at UiT The Arctic University of Norway (Tromsø) is filling up to five PhD fellowships in machine learning at once (view listing on Jobbnorge). 8 The [AI]² institute is a new strategic initiative embedded in the Visual Intelligence Research Centre (SFI, Norwegian Research Council grant no. 309439).
Three thematic tracks:
- Track A (2–3 positions): Microclimate modeling and forecasting for aviation and UAV operations — physics-informed neural networks, self-supervised foundation models
- Track B (1–2 positions): Situational awareness using satellite, UAV, and ocean sensor data — multimodal AI, uncertainty quantification
- Track C (1 position): Infrastructure monitoring — interpretability, robust AI
Lead PI Prof. Robert Jenssen has seven verified publications at NeurIPS (2022), CVPR (2023 ×2), ICLR (2024 ×2), ICML (2024), and ICML (2025). 9 Co-PIs include Assoc. Prof. Michael Kampffmeyer, Assoc. Prof. Kristoffer Wickstrøm, Assoc. Prof. Qing Liu, and Assoc. Prof. Elisabeth Wetzer.
The listing sets an explicit problem-first research ethos: "The main aim is not to develop a favorite 'AI hammer' for then to look for problems this tool may help solve. Rather, the aim is to identify particularly important problems to solve, for then to contribute to the development of particularly promising AI methodology suited for helping provide solutions for these real world problems." 8
| Field | Details |
|---|---|
| Position type | PhD Fellowship (up to 5 across three tracks) |
| Duration | 3 years |
| Salary | 550,800 NOK/year (~€47,000), 3% annual increase |
| Location | Tromsø, Norway (above Arctic Circle) |
| Deadline | June 17, 2026 |
| Apply | jobbnorge.no job ID 302170 |
| Contact | [email protected] |
June 18 — Causal ML for industrial root cause analysis · KU Leuven
Deadline: June 18, 2026 at 23:59 Europe/Brussels
The KU Leuven Bruges Campus is recruiting a PhD candidate in causal ML for industrial root cause analysis, supervised by Prof. Mathias Verbeke (M-Group, embedded in the DTAI — Declarative Languages and Artificial Intelligence — lab). 10 The project is part of CausAICA, a research program funded by Flanders Make (Flanders' strategic research centre for the manufacturing industry).
The central research challenge: "to automatically learn why failures occur from heterogeneous industrial data." 10 Methods combine constraint-based, Bayesian, and gradient-based causal discovery on multimodal industrial time-series.
The Flanders Make connection is worth weighing: the industrial mandate shapes the daily research focus and post-PhD trajectory toward applied, manufacturing-adjacent roles — applicants who prefer a theory-forward environment should factor that in.
| Field | Details |
|---|---|
| Position type | PhD scholarship (4 years, fully funded) |
| Location | Bruges, Belgium |
| Supervisor | Prof. Mathias Verbeke, M-Group / DTAI lab |
| Deadline | June 18, 2026, 23:59 Europe/Brussels |
| Apply | Online form via Academic Positions listing |
June 21 — Federated learning security · INRIA Sophia Antipolis
Deadline: June 21, 2026
The INRIA Sophia Antipolis NEO team is recruiting a PhD candidate to study privacy attacks and defenses in federated and distributed ML training with malicious clients. 11 Supervisors are Dr. Giovanni Neglia and Dr. Chuan Xu (both INRIA), with industry co-supervisor Dr. Igor Carrara of Hivenet/Antimatter (Cannes). INRIA (Institut National de Recherche en Informatique et en Automatique) is the French national research institute for digital science; the NEO Team at Sophia Antipolis focuses on network optimization and federated learning. The position is part of the Inria–Hivenet Challenge "Cupseli."
The three research objectives run in sequence: (1) advancing gradient-based privacy attacks capable of extracting richer private information than class-level labels; (2) studying stealthy poisoning attacks where the adversary must keep updates small enough to evade anomaly detectors; (3) designing defenses combining robust aggregation, anomaly detection, and privacy-preserving training. 11
Security requirement: The position is located in a Zone à Régime Restrictif (ZRR) — a French government-designated restricted research area — meaning national security clearance may be required. 11 An adverse ministerial decision on this clearance cancels the appointment. Applicants who are not French nationals — or whose home country may trigger additional review — should contact INRIA before investing time in the application.
| Field | Details |
|---|---|
| Position type | PhD (36-month contract) |
| Stipend | €2,300/month gross |
| Start date | October 1, 2026 |
| Location | Sophia Antipolis, France |
| Security | ZRR clearance may apply (French national security review) |
| Deadline | June 21, 2026 |
| Apply | jobs.inria.fr — offer 2026-10076 |
Rolling deadline — implicit neural representations in earth observation
University of Bonn — MEO-Lab, Marc Rußwurm
The MEO-Lab (Machine Learning in Earth Observation), led by Dr. Marc Rußwurm (DFG Emmy Noether Research Group "Earth Embeddings," co-funded by the Taylor Geospatial Institute), has one to two doctoral researcher positions open with no fixed closing date. 12
Research: "geospatial neural fields: continuous, queryable and uncertainty-aware representations of the planet that encode location, time, scale, sensor modality and environmental context." 12 The lab sits at the University of Bonn, which holds German University of Excellence status.
Position: full-time TV-L E13; target start date late summer 2026. Apply via Tally form at tally.so/r/LZk0Qy (single PDF: cover letter + CV). Rußwurm is on parental leave through September 2026, so initial email responses will be slower than usual — the listing and application form remain active. 12
Expired this cycle
INRIA Grenoble — Thomas Hueber, Stéphane Lathuilière, Laurent Girin (multimodal speech language models)
Original deadline: June 12, 2026. The listing page (jobs.inria.fr/public/classic/en/offres/2026-10080) now returns 404. 13 No extension or replacement posting was found. This position (first listed in the May 18 issue) is closed.
Complete deadline table — all tracked positions
| Deadline | Advisor(s) | Institution | Sub-field | Type | First listed |
|---|---|---|---|---|---|
| June 16 ⚠️ tomorrow | Sebastian Tschiatschek | University of Vienna, Austria | IRL, safe/aligned AI | PhD | June 1 |
| June 17 ⚠️ | Robert Jenssen et al. | UiT [AI]² Arctic Institute, Norway | Deep learning, climate/remote sensing | PhD ×5 | June 1 |
| June 18 ⚠️ | Mathias Verbeke | KU Leuven, Bruges, Belgium | Causal ML, industrial root cause analysis | PhD | May 18 |
| June 21 | Giovanni Neglia & Chuan Xu | INRIA Sophia Antipolis, France | Federated learning, privacy/security | PhD | June 8 |
| Rolling | Christoph H. Lampert | ISTA, Klosterneuburg, Austria | Trustworthy ML, transfer learning, neuro-symbolic AI | Postdoc ×2 | This issue |
| Rolling | Marc Rußwurm | University of Bonn, Germany | Implicit neural representations, earth observation | PhD ×2 | June 1 |
| Thomas Hueber, Lathuilière, Girin | INRIA Grenoble, France | Multimodal speech language models | PhD | May 18 |
Notes for applicants
Vienna / Tschiatschek closes tomorrow (June 16). The stipend at €3,776.10/month gross is the highest fixed monthly figure among any currently tracked European PhD position — and this is the final window. A second extension has not been posted. Contact: [email protected]. 7
UiT / Jenssen closes June 17 — five slots, three distinct tracks. Track A (microclimate modeling) fits applicants with physics or atmospheric science backgrounds; Track B (satellite/UAV situational awareness) fits CV or multimodal ML specialists; Track C (infrastructure monitoring) is closest to applied ML and interpretability. Tromsø sits above the Arctic Circle — location matters for this role, as field data collection is relevant to several tracks. 8
KU Leuven / Verbeke closes June 18 at 23:59 Brussels time — a hard timestamp. This is not an end-of-business cutoff. The CausAICA industrial mandate is a real constraint on research focus; applicants who prefer theory-forward work should weigh that before applying. 10
INRIA Sophia Antipolis / Neglia & Xu closes June 21 — the most time remaining among the four imminent positions. The ZRR security clearance note has not been modified or removed from the listing. Non-French-national applicants should get explicit clearance confirmation from INRIA before submitting. 11
ISTA / Lampert postdoc is the one new qualifying opening this week. Rolling deadlines at well-resourced groups close without notice once positions fill. If trustworthy ML or neuro-symbolic AI is your research direction and you have NeurIPS/ICML/ICLR/JMLR-level publications, this is worth submitting now rather than queuing. 1
No new NLP/LLM or RL/robotics positions appeared this week. Coverage gaps in both sub-fields persist. The CopeNLU lab (University of Copenhagen; Augenstein & Atanasova) expired on May 31 — monitoring that lab's news feed for future postings under the same DFF grant remains the best available NLP lead in the current tracked pool.
Cover image: AI-generated illustration.
Fuentes de referencia
- 1ISTA CVML Group: Postdoc Position in Machine Learning
- 2DBLP: Christoph H. Lampert
- 3ISTA Postdoc Office: Working conditions
- 4ELLIS Unit Vienna: Research groups
- 5ISTA: Locatello Group — Causal Learning and AI
- 6ISTA: ISTA-Fellow Postdoctoral Program
- 7Nature Careers: PhD position in Probabilistic and Interactive Machine Learning
- 8Jobbnorge / UiT: Up to 5 PhD Fellows in Machine Learning at the Arctic Institute for AI
- 9DBLP: Robert Jenssen
- 10Academic Positions: PhD on Causal Machine Learning for Industrial Root Cause Analysis — KU Leuven
- 11INRIA: PhD Position — Distributed Training of ML Models with Malicious Clients
- 12MEO-Lab / University of Bonn: Doctoral Researcher positions
- 13INRIA: Error — Page Not Found (offer 2026-10080)
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