[DL] Call for Participation for the Doctoral Consortium at the KI 2018
Johannes.Faehndrich at dai-labor.de
Wed Apr 18 16:45:26 CEST 2018
[Apologies for multiple copies of this CFP]
The doctoral consortium provides an opportunity for Ph.D. students to discuss their research interests and career objectives with established researchers in AI and network with other participants. 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.
The technical program of presentations, workshops, and tutorials is complemented by a doctoral consortium that invites Ph.D. students at a stage in which critique can still be integrated and from any subject area within AI. Each presented topic will be mentored by a senior researcher. This provides the opportunity for a private discussion of the Ph.D. topic. The goals of the doctoral consortium are
• to provide Ph.D. students with the opportunity to present their ongoing research and receive feedback from established researchers;
• to promote networking among Ph.D. students and AI researchers in general, both on a national and an international level;
• to support students with advice on academic, research, and industrial careers.
There will be a Ph.D. workshop with oral presentations during the KI conference, providing an opportunity for obtaining feedback. Doctoral students may also participate in a mentoring program that will connect students with experienced researchers in their field. The organizers will try to schedule personal meetings between mentors and students. Students can indicate their interest in this program when submitting their contribution, or directly by contacting the organizers. The schedule of the meetings will be announced ahead of the event.
To apply for the KI 2018 doctoral consortium, please send the following documents (in a single pdf file) by email to johannes.faehndrich at gt-arc.de<mailto:johannes.faehndrich at gt-arc.de>:
• An abstract of your thesis, formatted according to the KI guidelines (LNCS/LNAI), that describes the problem being addressed, the motivation for solving the problem, related work, the proposed approach, and planned or already executed evaluation. Target length of the abstract is 3-5 pages, including references.
• A short CV that covers background (name, university, supervisor), education (degree sought, year/status in a degree, previous degrees), employment, and experience in research (publications, presentations, conferences attended) of max. 2 pages.
• Please indicate in your application if you want to participate in the mentoring program.
• Optionally, you can suggest potential mentors who could give you advice on technical aspects of your work and your career.
• Submission: June 20th, 2018
• Notification: August 15th, 2018
• Mentoring event: Sep 25th, 2018
The extended abstract should be structured in the following way:
• Introduction and Motivation
• Research Question
• Related Work
• (Planned) Evaluation
Abstract submissions should be in English and must have a single author who is pursuing the proposed Ph.D.
johannes.faehndrich at gt-arc.de<mailto:johannes.faehndrich at gt-arc.de>
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