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<p> IJCAI 2021 Call for Doctoral Consortium</p>
<p>================================<br>
</p>
<br>
Students are invited to apply for admission to the doctoral
consortium to be held at the IJCAI conference in Montreal, Canada on
Aug. 21-26, 2021.<br>
<br>
<p>The doctoral consortium provides an opportunity for Ph.D.
students to discuss their research interests and career objectives
with established researchers in AI, network with other
participants, and receive mentoring about career planning and
career options. The doctoral consortium will expose students to
different areas of research within AI and help build professional
connections within the international community of AI researchers.</p>
<p><br>
</p>
<p>General Instructions</p>
<p>=========<br>
</p>
<br>
Applicants should submit (as a single PDF file) the following:<br>
<br>
1. A two-page extended abstract that summarizes the research problem
being investigated, the specific contributions made, and directions
for the remaining work. In particular, please write about how the
research you are trying to do is done today; what are its limits;
what is new in your approach; why do you think it will be
successful; if successful, what difference will it make; and the
evaluations to check for success. The extended abstract has to be
formatted using the IJCAI 2-column format (downloadable
here: <a class="moz-txt-link-freetext" href="https://www.ijcai.org/authors_kit">https://www.ijcai.org/authors_kit</a>), and is strictly limited to
2 pages, including references. Submissions are not double blind,
which means the author name and affiliation should be included. When
writing it, remember that the audience is knowledgeable about AI,
but not necessarily in the narrow topic of your thesis. Be sure to
introduce the content at a level that the general IJCAI audience can
understand it, but also include enough low-level details for the
experts to understand your unique contributions. Accepted extended
abstracts will be published in the IJCAI Proceedings and be
presented briefly at the doctoral consortium.<br>
<br>
<br>
2. A curriculum vitae (2 pages) with background (name, university),
education (degree sought, year/status in degree, previous degrees),
employment, and relevant experience in research (publications,
presentations, conferences attended, etc). <br>
<br>
<br>
3. A personal statement (1-2 pages) with answers to the following
questions:<br>
<br>
a) Have you attended the IJCAI DC previously? If not, have you
attended other DC? Please say which one(s) and what was most useful
to you?<br>
<br>
b) Have you submitted an article to the main IJCAI 2021 conference
and/or an IJCAI 2021 workshop? If so, what is the title of the
article?<br>
<br>
c) When do you expect to graduate?<br>
<br>
d) What type of job do you desire after graduation (research,
teaching, development, etc) and what do you envision doing for the
next five years after graduation?<br>
<p><br>
</p>
<p>Besides, we will inquire a letter from every applicant’
supervisor (details to follow).<br>
<br>
</p>
<p>Submission Details</p>
<p>================<br>
</p>
<br>
Template: <a class="moz-txt-link-freetext" href="https://www.ijcai.org/authors_kit">https://www.ijcai.org/authors_kit</a><br>
Submission site: details to follow<br>
Submission deadline will be posted later.<br>
A limited number of travel grants will be available. Details will be
posted later.<br>
<br>
<p>Enquiries</p>
<p>========<br>
</p>
<br>
Please send all enquiries about the DC program to the IJCAI 2021
Doctoral Consortium co-chairs:<br>
<br>
– Ana Bazzan Universidade Federal do Rio Grande do Sul,
<a class="moz-txt-link-abbreviated" href="mailto:bazzan@inf.ufrgs.br">bazzan@inf.ufrgs.br</a>, <a class="moz-txt-link-freetext" href="http://www.inf.ufrgs.br/~bazzan">http://www.inf.ufrgs.br/~bazzan</a><br>
<br>
– Yang Yu, Nanjing University, <a class="moz-txt-link-abbreviated" href="mailto:yuy@nju.edu.cn">yuy@nju.edu.cn</a>
<a class="moz-txt-link-freetext" href="http://www.lamda.nju.edu.cn/yuy">http://www.lamda.nju.edu.cn/yuy</a><br>
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<pre class="moz-signature" cols="72">--
Though this be madness, yet there is method in't. (Shakespeare, Hamlet Act 2, scene 2)
---
Prof. Ana Lucia C. Bazzan
Universidade Federal do Rio Grande do Sul - Instituto de Informatica
Av. Bento Goncalves 9500 (bloco IV) - Caixa Postal 15064
91501-970 Porto Alegre RS - Brasil
Voice +55 51 3308 6823 Fax +55 51 3308 7308
<a class="moz-txt-link-abbreviated" href="mailto:bazzan@inf.ufrgs.br">bazzan@inf.ufrgs.br</a> <a class="moz-txt-link-abbreviated" href="http://www.inf.ufrgs.br/~bazzan">www.inf.ufrgs.br/~bazzan</a></pre>
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