Laboratory of Intelligent Systems

In the Laboratory of Intelligent Systems we create novel AI engines as well as build robust and adaptive intelligent systems. Current AIs can solve 19x19 versions of Go but behave poorly on easier 9x9 versions of the same game. Similarly, image recognition algorithms can reach 96% accuracy (supra-human) on tests and be fooled by only one pixel change. In other words, current AI lacks the robustness and adaptation present in even simple living beings. AI is based on engines that allows it to learn and reason over things, this lab builds novel engines based on different paradigms to reach high levels of robustness and adaptiveness intrinsically. Interestingly, by increasing the robustness and adaptiveness, other problems like Transfer Learning, One-Shot Learning would also be solved at the same time, igniting, possibly, a new age of intelligent systems.
The current top adversarial robustness learning system is from our lab: https://openreview.net/pdf?id=zLWGnikc_wi. More info available in the research tab of this website.

The job consists mostly of programing new ideas/paradigms under the supervision of the principal investigator. Sometimes other activities such as conducting experiments, analyzing data, analyzing literature, and assisting in other lab activities might be also required. Most of the work here is done in teams, therefore, it is probable that the candidate might join a couple of teams. The exact content of work will be determined by the principal investigator based on the lab’s research directions, while taking the skills and interests of the candidate into account.
Although we are looking for academic support specialist/staff, we also appreciates active participation in all stages of research regardless of candidate's position. Pro-activity, independent thinking and innovative ideas are very welcome. Interest and relevant knowledge/skills in artificial intelligence, neuroscience and cognitive science are major factors for candidate screening.

(Required)
Good programming skills. Interested in researching artificial intelligence, neuroscience (specially related to neural encodings and computational models) or cognitive science (specially related to learning mechanisms).

(Preferred)
Good Japanese skill. Can communicate in English. Good mathematical skills. Experience as a programer. Experience in artificial intelligence, neuroscience or cognitive science. Bachelor degree or above in the fields of computer science, artificial intelligence, neuroscience, or other related fields.

● A brief explanation (1 page maximum) of your interest and reason for the application.
● Curriculum vitae
● (optional) portfolio of programs in which the candidate participated in its development,
● (optional) contact information for reference,
● (optional) transcript
● (optional) list of publications and research in which the candidate participated

Interested applicants should send application materials to: vargas@inf.kyushu-u.ac.jp with subject line "[LIS - Research Assistant] your name". All applications will be screened, and only those qualified will be scheduled for an interview
(probably online). Notice that this job post will be terminated once the positions are filled. Therefore, early applications are recommended.

Any inquiries can be addressed to vargas@inf.kyushu-u.ac.jp. Please use the following as the email’s title "【Inquiry】[LIS - Research Assistant] your name".

December 31
Open until the position is filled.

As early as December 1st, 2020, the exact starting date is negotiable. The contract is until March 31, 2021 (renewal is possible depending on achievements and budget available).

* Submitted documents will not be returned.
* Personal information is handled carefully according to the Privacy Policy of Kyushu University, and will be used only for the job selection process.
* Travel cost will not be paid in screening process.
* Kyushu University promotes gender equality and actively encourages women to apply.