PhD Position in Probabilistic and Interactive Machine Learning

[sts...@gmail.com]

** Job posting: https://jobs.univie.ac.at/job/University-assistant-predoctoral-PhD-position-in-Probabilistic-and-Interactive-Machine-Learning/1397701533/
** Deadline: June 6th, 2026
** Preferred start date: October, 2026
** Duration: up to 4 years

Join the Probabilistic and Interactive Machine Learning Group at the Faculty of Computer Science led by Assoc. Prof. Sebastian Tschiatschek. Our research focuses on developing foundational methods in machine learning and artificial intelligence, in particular in the areas of reinforcement learning, interactive learning, and deep probabilistic models. 

You will have the opportunity to develop and analyze frameworks/methods/models/algorithms and publish your research findings at top-tier venues aligned with our core focus areas or related topics:

• Efficient reinforcement learning: e.g., structured exploration 

• Human-AI alignment: e.g., learning about rewards and constraints from human feedback, personalization

• Deep (probabilistic) models for uncertainty quantification with applications in sequential decision-making

Who we are looking for candidates with…

• A completed Master's degree (or comparable degree) in computer science, data science, mathematics, communication engineering, or a related field (Applications from candidates close to completion are welcome. Employment can only begin once the Master’s degree has been awarded.)

• Strong programming skills in Python and a major deep learning framework (e.g., PyTorch, JAX).

• Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods.

• An early track record of research (e.g., a high-quality Master's thesis, open-source contributions, or conference or workshop papers).

We offer:

• A fully funded position: A competitive pre-doctoral salary (~EUR 3,776.10/month on a full-time basis, paid 14 times a year).

• Duration: Up to 4 years.

• World-class location: Live and work in Vienna, consistently ranked as the world's most livable city.

How to apply:

• Deadline: June 6, 2026

• Official job posting: https://jobs.univie.ac.at/job/University-assistant-predoctoral-PhD-position-in-Probabilistic-and-Interactive-Machine-Learning/1397701533/

To apply officially, please follow the instructions in the official job posting. If you have any questions about the roles, the lab, or moving to Vienna, please feel free to reach out to me directly at sebastian.t...@univie.ac.at.

Looking forward to your application.

Best regards,

Sebastian Tschiatschek
Assoc. Prof., Probabilistic and Interactive Machine Learning
Faculty of Computer Science
University of Vienna

[Ludovico Montalcini]

* Apologies if you receive multiple copies of this announcement. *
* Please kindly help forward it to potentially interested authors/attendees, thanks! *

The 12th International Artificial Intelligence Symposium - AIS 2026, 🗓 21-24 September,  Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy


🔗 https://ais2026.icas.events
a...@icas.cc

SATELLITE EVENT:
🎓 4th International Meeting on Foundation Models - IMFM2026
🔗 https://ais2026.icas.events/imfm2026/

📌 PAPERS SUBMISSION:
All papers must be submitted using EasyChair:
🔗 https://easychair.org/conferences/?conf=ais20260
* ⏰ Paper Submission deadline: June 23 (AoE) *

CALL FOR PAPERS:
🔗 https://ais2026.icas.events/call-for-papers/

Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template.  Papers must be submitted in PDF.

📚 TYPES OF SUBMISSIONS:
When submitting a paper to AIS 2026, authors are required to select one of the following three types of papers:

* Long Paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.

* Short Paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.

* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;
Articles/Abstracts accepted in this special session  will not be published in the Conference Proceedings by Nature-Springer LNCS.

* work for poster presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference. Articles/Abstracts accepted in this special session  will not be published in the Conference Proceedings by Nature-Springer LNCS.

KEYNOTE SPEAKERS:
As in previous editions, the conference will be co-located with the International Artificial Intelligence Summer School (IAISS 2026), fostering a unique and stimulating environment for interdisciplinary exchange.

This co-location is intended to strengthen the interaction between researchers, practitioners, and students, promoting the cross-fertilization of ideas and the development of new collaborations within the artificial intelligence community.

All conference participants will have full access to IAISS 2026 activities, including IAISS 2026 keynote lectures delivered by leading experts, thereby enriching the overall scientific experience and providing additional opportunities for learning, discussion, and networking.

IAISS 2026 Lecturers

Stefano V. Albrecht, Nanyang Technological University, Singapore

Mikhail Belkin, University of California San Diego, USA

Giuseppe De Giacomo, University of Oxford, UK

Christoph Feichtenhofer, Meta Superintelligence Labs, Menlo Park, CA, USA

Jamie Hayes, Google DeepMind, UK

Sumi Helal, University of Bologna, Italy

Albert Q. Jiang, Mistral AI, Paris, France & University of Cambridge, UK

Marine Le Morvan, INRIA Saclay, France

Bruno Lepri, FBK, Italy

George Paliouras, National Center for Scientific Research “Demokritos”, Athens, Greece

Panos Pardalos, University of Florida, USA

More Lecturers TBA


PAST KEYNOTE SPEAKERS:
https://ais2026.icas.events/past-keynote-speakers/

AIS Leonardo Fibonacci BEST PAPER AWARD:
https://ais2026.icas.events/best-paper-award/

PROGRAM COMMITTEE:
https://ais2026.icas.events/program-committee/

VENUE:
https://ais2026.icas.events/venue/

The venue of AIS 2026 will be Riva del Sole Resort & SPA @ Tuscany

AIS 2026 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed.

Riva del Sole Resort & SPA
a: Località Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043‚ Tuscany - Italy
p: +39-0564-928111
f: +39-0564-935607
e: booking...@rivadelsole.it
w: www.rivadelsole.it/en

ACTIVITIES:
https://ais2026.icas.events/activities/

Submit your research work today!
https://easychair.org/conferences/?conf=ais20260

See you in the beautiful Tuscany in September!

Best regards,
     AIS 2026 Organizing Committee.


https://ais2026.icas.events
a...@icas.cc

Past Editions:
https://ais2026.icas.events/past-editions/

https://www.facebook.com/groups/2236577489686309/
https://twitter.com/TaoSciences
https://www.linkedin.com/groups/19150026/

AIS 2026 Poster:
https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-poster.png

Obviously, this is only a Call for Papers, to have complete and updated information we recommend you access the relevant website: https://ais2026.icas.events

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *