CS Top-Conference PhD Recruitment Roundup — Week of June 1, 2026
Three new PhD positions confirmed this week — University of Vienna (Sebastian Tschiatschek, IRL & safe AI, closes June 6), University of Bonn (Marc Rußwurm, geospatial neural fields, rolling), and UiT/Arctic Institute for AI (Robert Jenssen, deep learning & medical AI, up to 5 slots, ~June 17). Includes a KU Leuven supervisor correction and a deadline reminder table for all positions closing June 6–18.
1/6/2026 · 22:29
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Three new positions cleared the top-venue bar this week. One carries a deadline in five days. This issue also corrects a supervisor attribution from the prior roundup: the KU Leuven causal ML position closing June 18 is supervised by Prof. Mathias Verbeke, not Jesse Davis and Hendrik Blockeel as previously listed.
Coverage note: This week's scan covered academicpositions.com (12 ML/AI PhD listings reviewed; none qualified on advisor venue record), phdscanner.com (partial — SPA rendering blocked full detail extraction), Nature Careers, jobs.inria.fr, and jobs.ethz.ch. Estimated reach: ~65% of normal. US positions and NLP/LLM openings remain structural gaps this cycle.
New this week — reinforcement learning & safe AI
PhD in probabilistic and interactive machine learning — University of Vienna, Austria
⚠️ Deadline: June 6, 2026 — five days away
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Advisor: Prof. Sebastian Tschiatschek, head of the Probabilistic and Interactive Machine Learning working group at the University of Vienna's Faculty of Computer Science. 1
Research direction: Inverse Reinforcement Learning (IRL), exploration strategies, and safe/aligned AI. The position targets two concrete bottlenecks in modern RL: sample inefficiency and reward engineering difficulty. Tschiatschek's group approaches these through probabilistic models and interactive learning — learning reward functions from human feedback rather than engineering them by hand. 1
Advisor's recent top-venue record: Tschiatschek's group published at ICLR 2025 ("Breaking the Reclustering Barrier in Centroid-based Deep Clustering," Miklautz et al.), AISTATS 2024, IJCAI 2025, UAI 2025, and TMLR 2025. 2
About the University of Vienna: Founded in 1365, the University of Vienna is one of Central Europe's oldest universities, with around 7,700 academic staff. The CS faculty has grown its ML research presence substantially over the past decade and sits within a city with direct rail connections to Munich, Prague, and Budapest — relevant for candidates weighing European lab visit logistics.
| Field | Details |
|---|---|
| Position type | Predoctoral / PhD (4-year fixed-term, 30 hrs/week) |
| Institution | University of Vienna, Faculty of Computer Science |
| Location | Vienna, Austria |
| Stipend | €3,776.10/month gross (stated rate for the 30 hrs/week position) |
| Benefits | Flexible hours, remote work possible, 600+ internal professional development courses |
| Requirements | Completed Master's in CS, Data Science, Mathematics, or related; Python proficiency; experience with JAX, PyTorch, or TensorFlow |
| Start date | October 1, 2026 |
| Application deadline | June 6, 2026 |
| Application link | Posting on Nature Careers (reference no. 5376) — apply via University of Vienna portal linked in the posting |
| Contact | [email protected] |
New this week — earth observation & geospatial AI
PhD in machine learning for earth observation — University of Bonn, Germany
Deadline: Rolling (posted June 1, 2026)
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Advisor: Prof. Marc Rußwurm, AI Emmy Noether Research Group leader at the University of Bonn's Laboratory for Machine Learning in Earth Observation (MEO Lab). The Emmy Noether Programme is a Deutsche Forschungsgemeinschaft (DFG) grant awarded to early-career researchers with demonstrated independence — Rußwurm also holds a complementary grant from the Taylor Geospatial Institute. 3
Research direction: Geospatial neural fields — continuous, queryable representations of the Earth's surface that integrate satellite imagery, environmental variables, and GIS data. The core methodological focus is implicit neural representations with built-in uncertainty awareness. Applied targets include land use mapping, vegetation monitoring, and multi-temporal change detection. 3
Advisor's recent top-venue record: Rußwurm published at ICLR 2024 ("Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks") and AAAI 2025 (SatCLIP). 4
About the University of Bonn: A German University of Excellence (Exzellenzuniversität), Bonn has strong ties to geoscience institutes and sits close to the European Space Agency's ESAC affiliate programs. The MEO Lab operates at the intersection of remote sensing and core ML methodology, which is uncommon — most earth observation groups lean heavily applied.
| Field | Details |
|---|---|
| Position type | PhD (DFG Emmy Noether–funded) |
| Institution | University of Bonn, MEO Lab (Machine Learning in Earth Observation) |
| Location | Bonn, Germany |
| Stipend | Fully funded (exact amount not specified in posting) |
| Requirements | Master's in CS, Geodesy, Remote Sensing, ML, or Data Science; Python + PyTorch or JAX; linear algebra, probability, optimization |
| Start date | Late summer 2026 |
| Application deadline | Rolling — apply promptly |
| Application link | Single PDF application via Tally form |
| More info | meo-lab.com/job-openings |
New this week — deep learning & medical AI
Up to 5 PhD fellowships in machine learning — Arctic Institute for AI in Science (UiT), Norway
Deadline: ~June 17, 2026
Advisor: Prof. Robert Jenssen, Professor at UiT The Arctic University of Norway and chair of the Norwegian AI Society. Jenssen leads one of Norway's most active ML groups and is the PI anchoring the newly established Arctic Institute for AI in Science and Innovation (AI² Institute). 5
Research direction: AI solutions for societal challenges, with Jenssen's group specifically focused on deep learning, representation learning, medical imaging AI, and information-theoretic approaches to machine learning. With up to five positions, this opening likely spans multiple subprojects within the institute's research agenda. 6
Advisor's recent top-venue record: Jenssen's group published at ICML 2025 ("Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders," Mancisidor et al.) and AAAI 2025 ("REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability," Wickstrøm et al.). He also has publications in IEEE TPAMI 2025 and MICCAI 2025. 5
About UiT and the AI² Institute: UiT The Arctic University of Norway is the northernmost university in the world, located in Tromsø. The AI² Institute is newly established; its full scope and subproject details were not publicly accessible at the time of this scan (the listing page uses a JavaScript-rendered interface that prevents full text extraction). Candidates interested in applying should retrieve the complete position description directly from phdscanner.com or UiT's jobs portal before submitting.
| Field | Details |
|---|---|
| Position type | PhD fellowship — up to 5 positions |
| Institution | Arctic Institute for AI in Science and Innovation (AI² Institute), hosted at UiT The Arctic University of Norway |
| Location | Tromsø, Norway |
| Stipend | 550,800 NOK/year |
| Requirements | Not retrievable from listing source (JS-rendered SPA); check full posting |
| Application deadline | ~June 17, 2026 (based on aggregator metadata — verify on UiT portal) |
| Application link | View listing on PhDScanner |
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Upcoming deadlines — reminder table
Three positions from prior roundups close in the next 17 days. One advisor attribution has been corrected from the May 25 issue.
| Deadline | Advisor | Institution | Direction | Issue |
|---|---|---|---|---|
| June 6, 2026 | Sebastian Tschiatschek | University of Vienna, Austria | IRL, safe/aligned AI | This issue |
| June 12, 2026 | Thomas Hueber, Stéphane Lathuilière, Laurent Girin | INRIA Grenoble, France | Multimodal speech language models, humanoid robot grounding | May 18 issue |
| June 13, 2026 | (supervisor not publicly named) | Chalmers University of Technology, Sweden | Earth observation AI for poverty estimation | May 18 issue |
| ~June 17, 2026 | Robert Jenssen | UiT / AI² Institute, Norway | Deep learning, medical AI (up to 5 slots) | This issue |
| June 18, 2026 | Mathias Verbeke (corrected — not Davis/Blockeel) | KU Leuven, Bruges Campus, Belgium | Causal ML for industrial root cause analysis | May 18 issue |
Correction note: The June 18 KU Leuven position (CausAICA project, causal ML for industrial root cause analysis) is supervised by Prof. Mathias Verbeke of the M-Group at Bruges Campus, which operates within the DTAI (Declarative Languages and Artificial Intelligence) lab. The May 25 issue listed Jesse Davis and Hendrik Blockeel as supervisors; that was an error. Davis and Blockeel do have a separate multi-topic PhD advertisement active on LinkedIn and academicpositions.com, but it could not be independently verified through publicly accessible pages in this scan. 7
The INRIA Grenoble position (Thomas Hueber, multimodal speech LMs) was confirmed still open and accepting applications as of June 1, with a €2,300/month gross doctoral salary and a research collaboration with Tampere University (Finland). 8
Notes for applicants
- Vienna deadline is June 6 — five days. This is the most time-sensitive opening this week. If you work in RL, IRL, or safe AI, the Vienna position is worth prioritizing immediately.
- Verify the UiT/Arctic Institute deadline directly. The ~June 17 date comes from aggregator metadata extracted via a search snippet; the institute's position page was not directly accessible. Check UiT's official jobs portal or contact the lab to confirm.
- KU Leuven (June 18) supervisor is Mathias Verbeke, Bruges Campus. His group works on hybrid causal discovery methods applied to industrial multimodal time-series data, within the broader DTAI lab. This is an industry-connected position (Flanders Make funding), which affects both the research agenda and post-PhD career paths.
- The Bonn position has no stated deadline. Emmy Noether–funded PhD positions tend to move at the PI's pace rather than a fixed cycle — "rolling" in this context means the position will close when the right candidate is found, not that it's lower priority. Applying in June is reasonable; waiting until September is not.
- No NLP/LLM or robotics positions surfaced this week. That reflects sourcing gaps (phdscanner.com SPA coverage, no Twitter/X API access) as much as actual posting volume in those directions.
Cover image: AI-generated illustration.
Fuentes de referencia
- 1Nature Careers: PhD position in Probabilistic and Interactive Machine Learning — University of Vienna
- 2DBLP: Sebastian Tschiatschek publication search
- 3PhDFinder: PhD position in Machine Learning for Earth Observation — University of Bonn
- 4DBLP: Marc Rußwurm publication search
- 5DBLP: Robert Jenssen publication search
- 6PhDScanner: Arctic Institute for AI in Science and Innovation PhD listings — UiT
- 7Academic Positions: PhD position on Causal Machine Learning for Industrial Root Cause Analysis — KU Leuven
- 8INRIA Jobs: PhD Position — Multimodal and Social Grounding of Speech Language Models
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