Dear all,
The Leiden Institute of Advanced Computer Science (LIACS) is looking for two PhD candidates in the field of Reinforcement Learning, with an emphasis on sustainable energy.
Should you know an interested/suitable candidate, then further information is available at:
https://www.universiteitleiden.nl/vacatures/2023/kwartaal-1/23-0952-phd-can…
Best regards,
Thomas Moerland
The Conference on Uncertainty in Artificial Intelligence (UAI
<https://auai.org/>) is one of the premier international conferences on
research related to learning and reasoning in the presence of uncertainty.
The conference has been held every year since 1985. The upcoming 39th
edition (UAI 2023 <https://auai.org/uai2023/>) will be an in-person
conference with virtual elements taking place in Pittsburgh, Pennsylvania,
USA from 31 July to 4 August 2023.
We invite papers that describe novel theory, methodology and applications
related to artificial intelligence, machine learning and statistics. Papers
will be assessed in a rigorous double-blind peer-review process, based on
the criteria of technical correctness, novelty, clarity of writing, and
potential impact. Authors are strongly encouraged to make code and data
available.
All accepted papers will be presented in poster sessions and spotlight
presentations (physically or remotely). Selected papers will have longer
presentations and an assigned discussant to foster debate. All accepted
papers will be published in a volume of Proceedings of Machine Learning
Research (PMLR) <http://proceedings.mlr.press/>.
Deadlines and other relevant dates can be found under important dates
<https://auai.org/uai2023/dates>.
Important dates for authors:
- 17 February 2023 (23:59 Anywhere on Earth, AoE): Paper submission
deadline
- 11-20 April 2023: Author response and discussion period
- 8 May 2023: Author notification
Papers should be submitted on OpenReview at
https://openreview.net/group?id=auai.org/UAI/2023/Conference. Please
see Submission
Instructions <https://auai.org/uai2023/submission_instructions> for more
details on how your manuscript should be formatted.
We are looking forward to building an exciting program and we aim to make
the most of the advantages that a hybrid conference can create. If you have
any particular positive or negative experiences that you would like to
share with us, please do not hesitate to email us.
If you are interested in giving a tutorial or organising a workshop at UAI
2023, please contact the tutorial chairs (uai2023chairs+tutorials(a)gmail.com)
or workshop chairs (uai2023chairs+workshop(a)gmail.com) by 10 March 2023.
Relevant dates:
- 31 July: Tutorials
- 1-3 August: Main conference
- 4 August: Workshops
Robin Evans and Ilya Shpitser
UAI 2023 Program Chairs
uai2023programchairs(a)gmail.com
Dear all,
We are writing to you to promote the third "*Conference of Young Applied
Mathematicians*", which will be held between the 18th and the 22nd of
September 2023 in Siena (SI), Italy.
The conference aims to gather young researchers (PhD students and postdocs)
working in the fields of Numerical Analysis, Numerical Modelling,
Statistics, and Machine Learning.
Every conference day will be opened by a plenary talk that will be given by
senior lecturers. The remainder of the session is dedicated to the
participants, who are strongly encouraged to present their research
projects or activities. To allow everyone to talk, two parallel sessions
will be organized, one devoted to Numerical Analysis and Numerical
Modelling and one devoted to Machine Learning and Statistics.
For further details, please visit the website:
http://www.yamc.it/
For anyone interested in taking part in this conference, this is the link
for the application form (deadline: 13th May):
https://forms.gle/pC1dhvyHo6EG1Kir5
Please keep in mind that we have limited spots. It will still be possible
to apply after the early registration closes (with an increased fee) until
all the spots are filled.
We kindly ask you to help us publicize the event.
For any questions, please contact us at info(a)yamc.it
Thank you.
Best regards,
The organizers
G. Auricchio, G. A. D'Inverno, C. Graziani, V. Lachi, F. Locatelli, G.
Loli, L. Zambon
I have an opening for a fully funded 4-year PhD position in mathematical statistics. The aim of the project is to develop theory for hypothesis testing with e-values, in particular for multiple testing, while it is also possible to work on related topics such as Bayesian learning and bandits. For more information, see:
https://workingat.vu.nl/ad/phd-position-in-mathematical-statistics/dx6kg8
Please help me spread the word!
The deadline is April 1st.
Best regards,
Rianne de Heide (r.de.heide(a)vu.nl)