[Om-announce] Call for Applications: Doctoral Consortium of KR 2021 -- Extended Deadline: July 23

Jens Classen jens_classen at sfu.ca
Wed Jul 7 20:31:11 CEST 2021


(apologies for cross-posting)

The submission deadline for the Doctoral Consortium has been extended.
Moreover, the date for the main part of the DC has been fixed. Please
find below the updated dates.

We also want to stress that students who are at an earlier or more
advanced stage of the completion of their thesis are encouraged to
apply if they would benefit from participation at the DC.

*Important Dates*
Submission: July 23, 2021
Notification: July 30, 2021
Doctoral Consortium: November 5, 2021

=====================================================================

KR Doctoral Consortium Call for Applications

November 5, 2021

Virtual (Originally: Hanoi, Vietnam)

https://kr2021.kbsg.rwth-aachen.de

The 18th International Conference on Principles of Knowledge
Representation and Reasoning (KR 2021) invites PhD students to apply
for the Doctoral Consortium program.

1) AIMS AND SCOPE

The Doctoral Consortium (DC) is a student mentoring program bringing
together PhD students and senior researchers from the area of KR. The
aims of the consortium are:

* to provide a forum for students to present their current research,
   and receive feedback from other students and senior researchers;
* to promote contacts among PhD students working in similar areas;
* to support students with information and advice on academic,
   research, and industrial careers.

The DC is intended for PhD students who have a specific research
proposal and some preliminary results, but who have sufficient time
prior to completing their dissertation to benefit from the consortium
experience. Preference will be given to students satisfying these
criteria, but we also encourage students to apply who are at an earlier
or more advanced stage of the completion of their thesis.

Accepted students will participate in several dedicated DC events,
which are planned to include a lightning talk session, a poster
session, a mentoring event, and a DC invited talk. Details will be
announced in due time. Each student will be given ample time to
present their work and therefore be able to fully benefit from
direct feedback from the assigned senior researcher mentor and the
wider KR conference audience.

Note that due to the ongoing global Covid-19 pandemic, KR 2021 and all
of the DC events will take place online.

2) APPLICATION SUBMISSION

Applications must be submitted through the EasyChair conference system
(a link will be provided later). Each application must contain the
following elements combined into a single PDF document:

(1) Thesis summary. A description of the problem being addressed, your
     motivation for addressing the problem, proposed plan of research,
     the progress to date (what you have already achieved and what
     remains to be done), and related work. It must be four pages
     maximum and use the same style as for KR paper submissions.

(2) Curriculum Vitae. A description of your background and relevant
     experience (research, education, employment), of two pages
     maximum.

(3) Letter of recommendation. A letter from your thesis advisor that
     states that he/she supports your participation in the DC.

(4) Optionally, a suggestion of up to 5 potential mentors with similar
     research interests, who could give good advice on technical
     aspects related to the work, and/or career opportunities.

The selection process will consider the quality of the submitted
proposal and the stage of the student's PhD project.

Doctoral students who submit to the DC are permitted to have
previously published their research, and are encouraged to submit
papers to workshops associated to KR 2021.

3) IMPORTANT DATES

Application deadline: July 23, 2021

Acceptance notification: July 30, 2021

Doctoral Consortium: November 5, 2021 (main part)
                     November 8, 2021 (lightning talks at main conference)


For further information, please contact the DC chairs:


Jens Classen, Simon Fraser University (jens_classen at sfu.ca)
Magdalena Ortiz, TU Vienna (ortiz at kr.tuwien.ac.at)


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